> Draft — not indexed. Last updated 2026-10-27. > Canonical human-readable version: https://www.withnative.ai/research-and-posts/markdown-context-benchmark > Derived from the same page as the HTML edition. Charts are replaced by summary data below; all prose, expanded explanations and selected tool excerpts follow. Research preview # 40× fewer tokens: wrap Markdown in SQLite **Richard Ng** **TL;DR:** - **Agents do better with SQLite:** 97% fewer failed trials for a fixed 1M input-token budget - **Token spend gets slashed:** 40× fewer tokens, ~20× lower modelled token bills per fully correct answer - **It's faster, not slower:** median answers in 1/6 of the time versus Markdown-based grep [Jump to the graphs](https://www.withnative.ai/research-and-posts/markdown-context-benchmark#graphs), [see the repo](https://github.com/withnative/native) or read on for the philosophy. Introduction ## Open-sourcing our context efficiency research We're opening a research preview for a context engineering architecture that can make your Markdown vault 40× more token-efficient on workloads like the one tested here. Our hope is that you will be able to: - **Get more from your AI agents.** Every AI subscription goes further with token-efficient context. - **Verify our research for yourself.** Run benchmarks on your own data and on your own machine. - **Discover new Markdown superpowers.** Build realtime collaboration and apps over fast, efficient Markdown context. We owe much to open technology and ideas: Markdown, SQLite and MCP; plus [local-first](https://www.inkandswitch.com/essay/local-first/), [malleable](https://www.inkandswitch.com/malleable-software/) and [participative](https://www.oreilly.com/radar/an-architecture-of-participation-for-ai/) software. Our core engine is already [open-source](https://github.com/withnative/native), and we'll be adding more once we're out of research preview. In this post, we share our motivation, the high-level architecture, our early evaluation results and some of our vision for the future. Background ## Context sovereignty and human agency Native is a research lab building for **a civilisation of many authors**. Our focus is infrastructure and products for **distributed ambition, agency and abundance**. Our first mission is **context sovereignty**: making context ownership **easy, powerful and delightful** for people, companies and communities, so it can be a _non-principled default_. Our research preview brings together more token-efficient retrieval, realtime collaboration and a path to keeping your working context outside SaaS walled gardens. But first: why context sovereignty, and why Markdown vaults? **Context is an ownable asset in the age of AI** ### Your company's value compounds in your context We believe context sovereignty is a critical investment for humans and companies. - **Context is the key** **[complement](https://en.wikipedia.org/wiki/Complementary_good)** **to the technology of AI.** Intelligence is _general_, and context is _specific_. We believe that humanity's good lies in the _blend_ of the two. - **Context can be sold as training data.** The growth of [Mercor](https://www.theinformation.com/briefings/exclusive-mercor-hit-1-billion-annualized-revenue-breach), [Scale](https://scale.com/blog/scales-next-era-building-for-2026) and [Surge AI](https://www.reuters.com/business/scale-ais-bigger-rival-surge-ai-seeks-up-1-billion-capital-raise-sources-say-2025-07-01/) shows the commercial demand for specialised human context. - **Context is an enduring, defensible asset if it is owned.** AI is commoditising [vast professional expertise](https://snscratchpad.com/posts/frontier-ecosystem/). But, if you own your context, its value [compounds](https://snscratchpad.com/posts/reverse-information-paradox/). - **Context creation is rapidly accelerated by AI.** AI agents explore, learn and output a huge amount. That is all _new_ context, and [reading it is becoming a full-time job](https://www.anthropic.com/research/employment-at-anthropic). - **Context ownership helps you respond to [geopolitical risk](https://youtu.be/--Ru7cL22rI?si=iN-KETwD_JshZO1p&t=461).** AI is a rapidly moving technology, with unpredictable changes in access. - **Context becomes a bottleneck as intelligence gets cheaper.** [Epoch AI’s research tracks the falling price of intelligence](https://epoch.ai/publications/the-plunging-price-of-thought); context remains specific to the people and organisations that create it. ### AI labs are especially dangerous context owners There are some places where it's _especially_ dangerous for your context to accrue -- and we think that AI labs are top of the list. - If an AI lab owns your context, they have the power to dictate how it's used. - This means that they can make themselves a monopoly provider of your intelligence. - So, now the AI lab owns your context _and_ is your monopoly provider of intelligence. - If value is intelligence plus context, and you rent access to both from the labs... - ... [yikes](https://www.withnative.ai/research-and-posts/freedom-in-the-age-of-intelligence#freedom-from-the-whims-of-benevolence)? ### Not all 'ownership' delivers sovereignty We think it's clear that your context needs to be independent of the AI labs. But we think there's also a very strong case for it being independent of most digital providers. A company which hosts your context will probably claim that you own the data. But digital 'ownership' often turns out to be [a surprisingly revocable and weak access license](https://consumer.ftc.gov/consumer-alerts/2024/04/do-you-really-own-digital-items-you-paid). Here's some questions to explore around context sovereignty. - Can I access it whilst I'm offline? - Can I easily use it with any AI agent that I want? - What happens if an AI lab buys this company? This deep level of context ownership is what we mean by **context sovereignty**. **Resisting the context gravity of AI labs** Context -- especially team context -- has something akin to _gravitational pull:_ the larger a store of context, the more likely it is to attract further context. ### Context gravity Let's illustrate this with an example. When you're discussing a proposal with your team, there's lots of plausible places to put it: a Google Doc comment, a Slack channel or even old-fashioned email. So, where do you pick? In most cases, it's "wherever the team normally does this". This is **context gravity**: new context is more likely to be 'attracted' to places where relevant context already exists, for at least a few reasons: 1. **You're more likely to already be there** when you create new context, since relevant context is collected there 2. **It's more useful to your audience** to store context there, since they 'know where to find it' and can view it next to other relevant background 3. **It's simply 'conforming to social norms'** to store the context where everybody else is storing it ### Centralising forces Today, the AI labs are making a big play for your context. Products like [ChatGPT Space](https://chatgpt.com/features/space/) and [Claude Artifacts](https://claude.com/features/artifacts) are surfaces that _also_ [conveniently centralise your working context inside the model lab's ecosystem](https://x.com/a16z/status/2100336522340044890). Normally, the logic of context gravity would dampen these surfaces. However, there's some key things which are different now. - **AI agents can generate work and output at truly inhuman rates.** The written context you generate from a month of AI agents can be larger than years of your Slack conversations. - **Frontier labs can influence AI agents towards these new surface areas.** OpenAI and Anthropic have the power to prime ChatGPT and Claude towards their centralising surfaces. - **New surfaces can be more effective for AI agent productivity.** [Prominent](https://x.com/clairevo/status/2104984499717353958) [AI commentators](https://x.com/danshipper/status/2104982021626007885) have swung behind the idea of new agent-native workspaces. This gives the AI labs a powerful context gravity flywheel. 1. Your agents use their surfaces, whether through merit or biased priming; 2. It becomes more convenient for you to use those surfaces to work with your agents; 3. The surfaces accumulate context gravity that pulls in more and more context; 4. All your context ends up centralised and in control of the AI labs. **Making context sovereignty a non-principled default** For context sovereignty to win, we believe it needs to be the **non-principled** **default.** In other words, we believe that the most easy, powerful and delightful products should be ones that _just so happen_ to deliver context sovereignty -- at least from a mainstream user perspective. Why? It's because of what we call the 'Should-Do Gap'. A 'Should' is **something that a well-informed expert would strongly urge you to do**. For example, these could all be Shoulds: - "I _should_ floss" (as most dentists would say) - "I _should_ set aside more savings" (as most financial experts would say) - "I _should_ use better passwords" (as most cybersecurity experts would say) Here's the key thing: **we might know that we** **_should_, and we might still not** **_do_.** Our goal isn't "people and communities _know that they should_ have context sovereignty". Our goal is "people and communities _have_ context sovereignty". We need to design for adoption. We see this as a two stage mission: 1. **Make context sovereignty** **_better_** -- more easy, powerful and delightful than it currently is 2. **Make context sovereignty** **_the_** **_best_** -- more easy, powerful and delightful than any alternative That's what takes us to Markdown. **Building up from Markdown** ### What makes Markdown great Folders of Markdown -- often called 'vaults' or 'brains' -- have seen a renaissance in the age of AI, as a way to plug and connect AI to rich context. We think that Markdown is a _great_ starting point for context sovereignty, for many reasons. - It's **agent-native**. Markdown is the lingua franca of every major AI agent. - It's **ownership-friendly**. It's transparent, portable and human-readable. - It's an **open technology**. The file format spec is released under [Creative Commons](https://github.com/commonmark/commonmark-spec?tab=License-1-ov-file). - It's **free from** **rate limits**. You, or your AI agents, can make high velocity changes to it. - There's an **ecosystem**: GitHub, Obsidian and many apps support Markdown. A well-organised local Markdown vault achieves two complementary goals: **connected context for AI agents**, and **context sovereignty for humans and teams**. So, our starter question was this: what if _all_ _context_ could sit in that vault? To do that, we need to reflect a bit on "What is context?". ### Different types of context and how teams work In a knowledge work setting, we see at least three tiers: - **Work.** The raw 'output' that you create: a document, some slides or a spreadsheet. (As context: "What's the provisional conclusion of our BlueCorp analysis?") - **Work about work.** Where you track your work: e.g. project and task management. (As context: "What's currently blocked by our BlueCorp analysis work?") - **Work about 'work about work'.** Where you decide what to work on: e.g. team messaging and meetings. (As context: "Why did we change our mind about Green Inc being a design partner?") It's very rare for teams to capture all of these in their Markdown vault. Often, these sit in SaaS apps, like Linear, Slack and Attio, for a few reasons: - **There's a nicer human UX than Markdown editors.** These products are often well-designed, and feel better for humans than editing raw Markdown. - **They unlock collaborative work better than Markdown.** Your changes are shared without remembering any active sync or data push/pull steps. - **They need structured data, not just text.** These products often _use_ Markdown content, but need typed, filterable fields to work effectively. ### Walled gardens and rate limits The UX, team collaboration and structured data benefits to SaaS apps correspond, somewhat crudely, to three layers: a frontend UI, a backend server, and a database. SaaS apps provide a convenient wrapper and packaging for that bundle. But your context is no longer _connected_ or _sovereign_ -- it's fragmented into databases that you don't own or control. As a tangible example: your context can be put behind a rate limit restriction which these companies can [change at any time](https://www.reworked.co/digital-workplace/salesforces-slack-api-restrictions-sparks-broader-questions-on-future-of-ai/). Lots of these SaaS companies have built great products and much better UI/UX experiences than what they replaced. But what if we could have their ease, power and UX _whilst_ _also_ having the connectedness and sovereignty of a local Markdown vault? ## Native: superpowers for connected, sovereign context We're opening a research preview for Native across web, MCP and CLI. We've built Native to give superpowers to connected, sovereign context. - 100%ownership of your context ### The best bits of Markdown. You own your context. It's transparent, portable and readable. You can keep it on your file system, view it in Obsidian and back it up in GitHub. - 40×fewer tokens than a Markdown wiki ### Retrieval superpowers for AI. Get answers 6× faster, with 30× fewer failed trials at a 1M input-token budget and 40× fewer tokens per fully correct answer, when agents use Native instead of an ordinary Markdown wiki. - SQLone shared context database ### More freedom for you and your team. Share context in realtime, remix any app you want and unify your workspace around a connected, sovereign database. Under the hood, the key technical architecture is this: - **An append-only event log is the source of truth.** It means that everything is auditable, traceable and restorable. This is one of our key architectural bets for the age of agents. - **The event log projects into SQLite and/or a Markdown vault.** They are two representations of the same stateful context. SQLite is richer, and Markdown is lossier, but you can still have all the Markdown files on your local machine. - **Agents are expected to query via MCP**, but they can always read the local Markdown or go direct to the SQLite database. - **You can run this locally or in a cloud.** A shared cloud database supports team context and sharing. You can self-host it in a cloud of your choice, or use ours. We are preparing to open-source everything that you need to run Native locally, reproduce our benchmark results and run your own private evaluations. Below, we include some highlights from our research and benchmark results. Dataset ## Our findings are grounded in real-world context We take our own event log as the base dataset for our research. - **It covers two months**, from mid-August to mid-October. (Mid-August is when we switched over to a ground-up rewrite of Native.) - **It's mostly two humans and a few thousand agents** over this time period. One of the humans is part-time over this time period. - **It contains ~77,000 events**, such as `record.create`, `record.update`, `link.create` and more. - **It projects into ~11,000 individual records**, i.e. SQLite rows or Markdown files. It's ~120MB of Markdown content in total. - **It's cross-functional context.** Records represent everything from CRM-like tracking, product backlog tickets and internal messaging. **Our dataset is authentic but not representative.** Vaults with tens of thousands of notes are a useful reference point: Obsidian's team [reported stress-testing 20,000 Markdown files](https://forum.obsidian.md/t/maximum-number-of-notes-in-vault/1509/5), and a user [reported changes to fuzzy search at 10,000 notes](https://ezhik.jp/obsidian-10000-note-surprise/). We surpassed the equivalent of 10,000+ Markdown files within two months, mostly through agent-generated output and context. It's our actual work, so it's authentic by definition, but we also expect it to be _very_ unrepresentative right now. Very few teams work like us, both in the volume of agent work and in how comprehensively the context is tracked. However, we think that an increasing number of teams will work at a velocity and volume similar to us -- particularly small startups building at the frontier of AI. So, whilst the dataset might not be 'representative of most companies', we still think it has value for those interested in how agent-first teams might work in the near-future. The underlying event log can be projected into different forms. We wanted to test the efficacy of different representations. So, we projected the event log into four setups. 1. Native's SQLite MCPLocal MCP A local SQLite database exposed through MCP. Agents write SQL over a discoverable schema, with some convenience tools. 2. Native-to-MarkdownFilesystem Nested folders of Markdown files, with strongly typed frontmatter and a JSON index file. 3. Markdown + wikilinksFilesystem Nested folders of Markdown files, with wikilink pointers. Similar to a common Obsidian vault. 4. Plain MarkdownFilesystem Nested folders of Markdown files, with mentions of other files by title rather than wikilink pointer. **Why we put MCP in front of SQLite** MCP is a priority surface area for us because it means we can support a wide variety of agent harnesses and machine setups. In retrospect, it would have been interesting to test a direct SQLite setup as well. This honestly did not occur to us until we were writing this blog post. **Further setup details** - These setups are identical on body content and structure wherever it fits the paradigm. - We make a best-effort to represent lossy setups in a fair, reasonable way. For example, plain Markdown substitutes titles for wikilink mentions. - _Unfortunately, this setup flatters plain Markdown relative to wikilinks, since we guarantee that the title is the correct, up-to-date title at the point of substitution._ - You can see full details of Native's SQLite MCP and the Native-to-Markdown projection in our [GitHub repo](https://github.com/withnative/native). Trial design ## We assess on realistic, everyday work queries We wanted to test how effective and efficient each representation was for agentic context retrieval and question answering. To do this, we generated 40 questions, that were all answerable with perfect knowledge and/or recall of the represented company context. We then tested each setup on the 40 questions, with three independent runs for a total of 120 trials per setup. Each setup used [OpenCode](https://github.com/anomalyco/opencode) as the harness and DeepSeek v4.1 Flash on High effort for the model. ## SQL gives agents better search tools B01 · Question, rephrased > Is 'company brain leads, permissions later' still our launch message? If not, what replaced it? | Setup | Tokens | Runtime | Result | | --- | --- | --- | --- | | Native's SQLite MCP | 73k33.2× fewer | 23 s8.2× faster | Pass | | Native-to-Markdown | 1.3M1.9× fewer | 112 s1.7× faster | Pass | | Markdown + wikilinks | 1.1M | 148 s | Pass | | Plain Markdown | 2.4M | 188 s | Pass | ### Native's SQLite MCP B01-mcp-r1 Pass Total tokens 73k Run time 23 s Tool calls 7 Cached input 60,416 Uncached input 10,807 Reasoning 979 Output 1,107 1. **Calls 2–4search ×1 · query\_sql ×2** 1. **search** `{"operation": "search", "arguments": {"query": "company brain leads permissions later", "limit": 20}}` 2. **query\_sql** `SELECT id, type, kind, name, lifecycle, created_at, updated_at, created_at_ms, updated_at_ms FROM records WHERE id IN ('f853ae39-7f4d-446f-9768-0e41c04b632e') OR id LIKE '20c1e2a%'` 3. **query\_sql** `SELECT id, source_id, target_id, relationship, created_at, created_at_ms FROM links WHERE source_id = 'f853ae39-7f4d-446f-9768-0e41c04b632e' OR target_id = 'f853ae39-7f4d-446f-9768…` 2. #### Find the superseding link Source call 5 · native\_sql\_read · query\_sql SQL · verbatim ``` SELECT l.id, l.source_id, l.target_id, l.relationship, l.created_at FROM links l WHERE l.relationship = 'supersedes' AND (l.target_id IN ('f853ae39-7f4d-446f-9768-0e41c04b632e','20c1e2a4-6e36-4503-b662-4cdcf6027dca') OR l.source_id IN ('f853ae39-7f4d-446f-9768-0e41c04b632e','20c1e2a4-6e36-4503-b662-4cdcf6027dca')) ORDER BY l.created_at ``` **Complete tool input** ``` { "operation": "query_sql", "arguments": { "sql": "SELECT l.id, l.source_id, l.target_id, l.relationship, l.created_at FROM links l WHERE l.relationship = 'supersedes' AND (l.target_id IN ('f853ae39-7f4d-446f-9768-0e41c04b632e','20c1e2a4-6e36-4503-b662-4cdcf6027dca') OR l.source_id IN ('f853ae39-7f4d-446f-9768-0e41c04b632e','20c1e2a4-6e36-4503-b662-4cdcf6027dca')) ORDER BY l.created_at" } } ``` Result excerpt ``` 1 row(s) returned As of content sequence: 76816 id source_id target_id relationship created_at … "lnk:20c1e2a4-6e36-4503-b662-4cdcf6027dca:f853ae39-7f4d-446f-9768-0e41c04b632e:supersedes" "20c1e2a4-6e36-4503-b662-4cdcf6027dca" "f853ae39-7f4d-446f-9768-0e41c04b632e" "supersedes" "2026-10-06T10:39:59.735Z" ``` 3. **Call 6query\_sql ×1** 1. **query\_sql** `SELECT id, type, kind, name, lifecycle, created_at, updated_at FROM records WHERE id LIKE '0a64a4b%' OR name LIKE '%Launch plan%' OR name LIKE '%Launch message%' ORDER BY created_a…` 4. #### Read both records for the replacement wording Source call 7 · native\_call\_executor · get\_record Tool input · complete ``` { "executor": "records_read", "operation": "get_record", "arguments": { "ids": [ "20c1e2a4-6e36-4503-b662-4cdcf6027dca", "f853ae39-7f4d-446f-9768-0e41c04b632e" ] } } ``` Result excerpt ``` Launch message: Native is the open-source alternative to ChatGPT Space (20c1e2a) Resolution/decision … Body preview (truncated; re-read get_record with ids:["20c1e2a4-6e36-4503-b662-4cdcf6027dca"] or use format:"json" for the full verbatim body): Native is presented as the open-source alternative to ChatGPT Space. This replaces 'company brain' as the lead. ``` Agent answer · excerpt No. That decision — \*\*"Content theme priority: company brain leads, permissions later"\*\* (f853ae39, Resolution/decision, George Jones) — was superseded on \*\*6 Oct 2026\*\* (supersession link created 2026-10-06T10:39:59Z, before your 16 Oct snapshot). It was replaced by \*\*"Launch message: Native is the open-source alternative to ChatGPT Space"\*\* (20c1e2a, Resolution/decision, George Jones, 6 Oct 2026), whose note states \*"Company brain is no longer the lead message"\* — the body says open-source-plus-alternative leads and this \*"replaces 'company brain' as the lead."\* No further supersedes link pointed at it as of 16 Oct, so that remained the launch message. (A related open item, "Decide how launch messaging handles ownership…" (17727f7), flags the rival-framing as a live tension, but does not replace it.) ### Native-to-Markdown B01-vault-r1 Pass Total tokens 1.3M Run time 112 s Tool calls 33 Cached input 1,157,120 Uncached input 89,309 Reasoning 6,370 Output 3,430 1. **Calls 1–17bash ×7 · glob ×1 · read ×1** 1. **bash** `ls -la /mnt/vault` 2. **glob** `{"pattern": "/mnt/vault/**"}` 3. **bash** `ls -la /work; echo ---; ls -la /` 4. **bash** `ls -la /xdg; echo ---; ls -laR /xdg 2>/dev/null | head -100` 5. **bash** `ls -laR /mnt/vault` 6. **read** `{"filePath": "/xdg/data/opencode/tool-output/tool_150c2f457001qZ9O6yXXBlTk8D"}` 7. **bash** `head -c 300 /mnt/vault/.native/STATUS.md` 8. **bash** `head -n 1000 /mnt/vault/.native/STATUS.md` 9. **bash** `grep -rl "company brain" /mnt/vault 2>/dev/null` 2. #### Locate both records by the old wording Source call 18 · bash Command · verbatim ``` grep -ril "permissions later" /mnt/vault 2>/dev/null ``` Result excerpt ``` /mnt/vault/.native/state.json /mnt/vault/Native HQ/Work/Marketing/Content theme priority_ company brain leads, permissions later.md /mnt/vault/Native HQ/Work/Strategy & Planning/Company Strategy/Launch/Launch message_ Native is the open-source alternative to ChatGPT Space.md ``` 3. #### Read the old record's superseded frontmatter Source call 19 · bash Command · verbatim ``` head -n 200 "/mnt/vault/Native HQ/Work/Marketing/Content theme priority_ company brain leads, permissions later.md" ``` Result excerpt ``` "id": "f853ae39-7f4d-446f-9768-0e41c04b632e" "kind": "decision" … "maturity": "superseded" … "superseded": true ``` 4. **Calls 20–33bash ×14** 1. **bash** `head -n 200 "/mnt/vault/Native HQ/Work/Strategy & Planning/Company Strategy/Launch/Launch message_ Native is the open-source alternative to ChatGPT Space.md"` 2. **bash** `grep -rln "20c1e2a" /mnt/vault 2>/dev/null` 3. **bash** `grep -rln "supersedes" /mnt/vault/Native\ HQ/Work/Strategy\ \&\ Planning/Company\ Strategy/Launch 2>/dev/null` 4. **bash** `which jq python3 sqlite3 2>/dev/null; echo "---"; python3 -c "print('py ok')"` 5. **bash** `python3 - <<'EOF' import json p='/mnt/vault/.native/state.json' d=json.load(open(p)) print(type(d)) if isinstance(d,dict): for k,v in d.items(): print(k, type(v), (len(v) if hasatt…` 6. **bash** `python3 - <<'EOF' import json d=json.load(open('/mnt/vault/.native/state.json')) files=d['files'] print('files keys sample', list(files)[:3]) k=list(files)[0] print('sample value t…` 7. **bash** `python3 - <<'EOF' import json d=json.load(open('/mnt/vault/.native/state.json')) files=d['files'] k='Native HQ/Work/Marketing/Content theme priority_ company brain leads, permissio…` 8. **bash** `python3 - <<'EOF' import os,re,json,collections root='/mnt/vault' recs=[] for dp,dn,fn in os.walk(root): if '/.native' in dp: continue for f in fn: if not f.endswith('.md'): contin…` 9. **bash** `python3 - <<'EOF' import os,re,json root='/mnt/vault' out=[] for dp,dn,fn in os.walk(root): if '/.native' in dp: continue for f in fn: if not f.endswith('.md'): continue p=os.path.…` 10. **bash** `python3 - <<'EOF' import os,re root='/mnt/vault' targets={'20c1e2a4-6e36-4503-b662-4cdcf6027dca':'launchmsg','f853ae39-7f4d-446f-9768-0e41c04b632e':'contentpriority'} for dp,dn,fn …` 11. **bash** `head -n 80 "/mnt/vault/Native HQ/Work/Marketing/Positioning & Messaging/Messaging synthesis of the 8 Oct Richard–George call_ lightly held, agent-generated.md"` 12. **bash** `head -n 60 "/mnt/vault/Native HQ/Work/Marketing/Positioning & Messaging/Reposition withnative.ai homepage and _product around 'ChatGPT Space, made open-source and more powerful'.md…` 13. **bash** `grep -rl "Product messaging positions Native against today's tools" /mnt/vault --include=*.md 2>/dev/null` 14. **bash** `head -n 60 "/mnt/vault/Native HQ/Work/Marketing/Positioning & Messaging/Product messaging positions Native against today's tools, not against AI labs owning your context.md"` Agent answer · excerpt No — it was superseded. - The content priority \*\*"Content theme priority: company brain leads, permissions later"\*\* (ref f853ae3, Resolution / kind decision, last updated 2026-10-06) is marked \`maturity: superseded\`, \`superseded: true\`. - It was replaced by \*\*"Launch message: Native is the open-source alternative to ChatGPT Space"\*\* (ref 20c1e2a, Resolution / kind decision, decided 2026-10-06), which carries a \`supersedes\` link to f853ae3 and states it "replaces 'company brain' as the lead." - Nothing later supersedes 20c1e2a. The 8 Oct decision \*\*"Product messaging positions Native against today's tools, not against AI labs owning your context"\*\* (59f0d1b) only \`relates\_to\` it, and the 9 Oct "Messaging synthesis" is an exploratory note that "replaces no earlier record." So as at the snapshot the launch message is: \*\*Native is the open-source alternative to ChatGPT Space.\*\* ### Markdown + wikilinks B01-plain-r1 Pass Total tokens 1.1M Run time 148 s Tool calls 31 Cached input 981,888 Uncached input 90,367 Reasoning 12,675 Output 2,953 1. **Calls 1–16bash ×7** 1. **bash** `ls -la /mnt/vault` 2. **bash** `ls -la /work; pwd; ls -la` 3. **bash** `ls -la /tmp/opencode; echo ---; ls -la /; echo ---; mount | grep -i vault` 4. **bash** `ls -la "/mnt/vault/Native HQ"` 5. **bash** `for d in "Agent instructions" "Attention" "Control Centre" "George" "Library" "Morning Edition" "My agent context" "System" "Work"; do echo "=== $d ==="; ls -la "/mnt/vault/Native …` 6. **bash** `grep -rIl -e "company brain" -e "permissions later" -e "launch message" "/mnt/vault/Native HQ" 2>/dev/null` 7. **bash** `grep -n "^" "/mnt/vault/Native HQ/Work/Marketing/Content theme priority_ company brain leads, permissions later.md"` 2. #### Follow the old wording to the new message Source call 17 · bash Command · verbatim ``` grep -rn "permissions later" "/mnt/vault/Native HQ" 2>/dev/null ``` Result excerpt ``` /mnt/vault/Native HQ/Work/Marketing/Content theme priority_ company brain leads, permissions later.md:2:# Content theme priority: company brain leads, permissions later /mnt/vault/Native HQ/Work/Strategy & Planning/Company Strategy/Launch/Launch message_ Native is the open-source alternative to ChatGPT Space.md:20:- [[Native HQ/Work/Marketing/Content theme priority_ company brain leads, permissions later|Content theme priority: company brain leads, permissions later]] ``` 3. #### Read the replacement note Source call 18 · bash Command · verbatim ``` grep -n "^" "/mnt/vault/Native HQ/Work/Strategy & Planning/Company Strategy/Launch/Launch message_ Native is the open-source alternative to ChatGPT Space.md" ``` Result excerpt ``` 2:Native is presented as the open-source alternative to ChatGPT Space. This replaces 'company brain' as the lead. ``` 4. **Calls 19–31bash ×13** 1. **bash** `find /mnt/vault -type f ! -name "*.md" 2>/dev/null | head -100; echo "=== dir sizes ==="; find /mnt/vault -type d 2>/dev/null | wc -l; echo "=== Messages ==="; ls -la /mnt/vault/Me…` 2. **bash** `ls -la "/mnt/vault/Native HQ/Directory"; echo "=== IWE head ==="; wc -l "/mnt/vault/Native HQ/Directory/IWE.md"; grep -n "^" "/mnt/vault/Native HQ/Directory/IWE.md" | head -80` 3. **bash** `grep -rn -i -e "kind: *decision" -e "type: *Resolution" -e "lifecycle" -e "status: *archived" -e "status: *deleted" "/mnt/vault/Native HQ" 2>/dev/null | head -50` 4. **bash** `ls -la "/mnt/vault/Native HQ/Work/Strategy & Planning/Company Strategy/Launch"; echo "=== Positioning ==="; ls -la "/mnt/vault/Native HQ/Work/Marketing/Positioning & Messaging"; ec…` 5. **bash** `for f in "Work/Marketing/Native_ content and launch strategy.md" "Work/Strategy & Planning/Company Strategy/Launch/We know which message makes people get it.md" "Work/Strategy & Pl…` 6. **bash** `grep -rn -i "launch message" "/mnt/vault/Native HQ" 2>/dev/null` 7. **bash** `grep -rn -i -e "content theme priority" -e "company brain leads" -e "permissions later" "/mnt/vault/Native HQ" 2>/dev/null` 8. **bash** `for f in "Work/Strategy & Planning/Company Strategy/Launch/Launch plan_ a big-bang launch that gets people talking.md" "Work/Strategy & Planning/Company Strategy/Launch/Native's pu…` 9. **bash** `grep -rn -i -e "supersede" -e "replaces " -e "replaced " -e "no longer the lead" -e "new launch message" "/mnt/vault/Native HQ/Work/Marketing" "/mnt/vault/Native HQ/Work/Strategy &…` 10. **bash** `grep -rln -e "16 Oct 2026" -e "17 Oct 2026" -e "18 Oct 2026" -e "15 Oct 2026" "/mnt/vault/Native HQ" 2>/dev/null | head -50` 11. **bash** `for f in "Work/Marketing/Positioning & Messaging/Product messaging positions Native against today's tools, not against AI labs owning your context.md" "Work/Strategy & Planning/Com…` 12. **bash** `echo "### Lean Canvas head"; grep -n "^" "/mnt/vault/Native HQ/Work/Marketing/Positioning & Messaging/Native's hypotheses on the Lean Canvas, with the evidence behind each box.md" …` 13. **bash** `grep -n "^" "/mnt/vault/Native HQ/Work/Marketing/Positioning & Messaging/Native's hypotheses on the Lean Canvas, with the evidence behind each box.md"` Agent answer · excerpt No. As of 16 Oct 2026 11:02 UTC the launch lead is \*\*"Native is the open-source alternative to ChatGPT Space"\*\* — the homepage/README line "ChatGPT Space, made open-source and more powerful". Evidence: - \*\*Launch message: Native is the open-source alternative to ChatGPT Space\*\* — "This replaces 'company brain' as the lead"; lead line is "open source plus alternative", lock-in argued in the body, "why not markdown files?" answered up front. - \*\*Native's hypotheses on the Lean Canvas, with the evidence behind each box\*\* — set 1 "Company brain" (July–Sept) is marked "Replaced as the lead on 6 October by \[Launch message: Native is the open-source alternative to ChatGPT Space\]"; the promise for the open-source set is "Own your context. Self-host it, or let us run it." - \*\*Decide how launch messaging handles ownership, given it tested poorly as a lead in July\*\* — "Answered, 6 October 2026: Argue against lock-in rather than for ownership." - \*\*Reposition withnative.ai homepage and /product around 'ChatGPT Space, made open-source and more powerful'\*\* (6 Oct) confirms the site/README shift. Caveat on the distinction: the record you're quoting, \*\*Content theme priority: company brain leads, permissions later\*\* (Status: agreed), is a content-theme ordering, not the launch lead — it still stands, and permissions remain "later". The thing that changed is the launch message, not that priority list. The lead has not changed again since: 13 Oct records (e.g. \*\*Native's fifteen framings as hypotheses…\*\*) still cite the ChatGPT Space message as the launch line, and the Lean Canvas's "Open" section still asks which set leads the \*next founder email\*, so "mission control" (13 Oct) has not replaced it. ### Plain Markdown B01-raw-r1 Pass Total tokens 2.4M Run time 188 s Tool calls 47 Cached input 2,283,776 Uncached input 141,555 Reasoning 6,693 Output 3,722 1. **Calls 1–8bash ×5** 1. **bash** `ls -la /mnt/vault` 2. **bash** `find /mnt/vault -maxdepth 2 -type f | head -100` 3. **bash** `find /mnt/vault -type f | sort` 4. **bash** `grep -ril "company brain" /mnt/vault | head -50; echo ---; grep -ril "permissions later" /mnt/vault | head -50; echo ---; grep -ril "launch message" /mnt/vault | head -50` 5. **bash** `ls -la "/mnt/vault/Native HQ/Work/Marketing"; echo ---; find "/mnt/vault/Native HQ/Work/Marketing" -maxdepth 2 -type f | sort` 2. #### Read the old record's agreed status Source call 11 · bash Command · verbatim ``` grep -n "" "/mnt/vault/Native HQ/Work/Marketing/Content theme priority_ company brain leads, permissions later.md" ``` Result excerpt ``` 2:# Content theme priority: company brain leads, permissions later 3: 4:Status: agreed. ``` 3. **Calls 12–15bash ×4** 1. **bash** `grep -rn -i "company brain leads\|permissions later\|content theme priority\|content priority" /mnt/vault --include=*.md | head -50` 2. **bash** `grep -n "" "/mnt/vault/Native HQ/Work/Strategy & Planning/Company Strategy/Launch/Decide how launch messaging handles ownership, given it tested poorly as a lead in July.md"` 3. **bash** `grep -rn -i "launch message\|launch messaging\|open-source alternative to ChatGPT Space\|company brain" "/mnt/vault/Native HQ/Work/Strategy & Planning/Company Strategy/Launch" --in…` 4. **bash** `find "/mnt/vault/Native HQ/Work/Strategy & Planning/Company Strategy/Launch" -type f | sort` 4. #### Read the new message's replacement line Source call 16 · bash Command · verbatim ``` grep -n "" "/mnt/vault/Native HQ/Work/Strategy & Planning/Company Strategy/Launch/Launch message_ Native is the open-source alternative to ChatGPT Space.md" ``` Result excerpt ``` 2:Native is presented as the open-source alternative to ChatGPT Space. This replaces 'company brain' as the lead. ``` 5. **Calls 17–47bash ×31** 1. **bash** `grep -n "" "/mnt/vault/Native HQ/Work/Strategy & Planning/Company Strategy/Launch/Until early December 2026, find and onboard users among EF and YC founders; public launch and scal…` 2. **bash** `grep -rn -i "^kind:\|^type:\|lifecycle\|resolution" /mnt/vault --include=*.md | head -80` 3. **bash** `grep -rln -i "open-source alternative to ChatGPT Space" /mnt/vault | sort` 4. **bash** `grep -rln -i "16 Oct\|16 October\|2026-10-16" "/mnt/vault/Native HQ/Work" "/mnt/vault/Messages" | sort | head -100` 5. **bash** `grep -rn -i "launch message\|launch messaging\|open-source alternative\|company brain" "/mnt/vault/Native HQ/Work/Strategy & Planning/Company Strategy/Launch/Founder push, 12 Oct –…` 6. **bash** `grep -rn -i "permissions" "/mnt/vault/Native HQ/Work/Strategy & Planning" "/mnt/vault/Native HQ/Work/Marketing" --include=*.md | grep -i "launch\|message\|lead\|priority\|content" …` 7. **bash** `grep -rln -i "company brain" "/mnt/vault/Native HQ/Work/Strategy & Planning" --include=*.md | sort` 8. **bash** `grep -rn -i "replac.*company brain\|company brain.*replac\|lead.*ChatGPT Space\|Space.*as the lead\|as the lead" /mnt/vault/Native HQ/Work --include=*.md | head -100` 9. **bash** `grep -n "" "/mnt/vault/Native HQ/Work/Strategy & Planning/Company Strategy/Native_ detailed launch brief for Richard's agents.md" | sed -n '1,80p;300,340p'` 10. **bash** `grep -rn -i "launch message\|company brain\|permissions later\|ChatGPT Space\|content priority" /mnt/vault/Messages --include=*.md | head -120` 11. **bash** `grep -rn -i "launch message\|company brain leads\|permissions later\|ChatGPT Space" "/mnt/vault/Native HQ/Work" --include=*.md | grep -i "Oct\|October\|2026" | head -100` 12. **bash** `grep -n "" "/mnt/vault/Native HQ/Work/Marketing/Positioning & Messaging/Product messaging positions Native against today's tools, not against AI labs owning your context.md"; echo …` 13. **bash** `grep -rn -i "launch message\|launch line\|launch narrative\|current.*message\|message.*current\|lead the launch\|launch copy" "/mnt/vault/Native HQ" --include=*.md | grep -i "Oct\|…` 14. **bash** `grep -n "" "/mnt/vault/Native HQ/Work/Strategy & Planning/Company Strategy/Launch/Launch plan_ a big-bang launch that gets people talking.md" | sed -n '55,100p'` 15. **bash** `grep -n "" "/mnt/vault/Native HQ/Work/Strategy & Planning/Company Strategy/Launch/Native launch_ build momentum with founder teams before the main release.md" | sed -n '1,120p'` 16. **bash** `find /mnt/vault -type f -iname "*content*priority*" -o -type f -iname "*theme*" | sort | head -50` 17. **bash** `grep -rn -i "content priority\|content theme\|priority.*company brain\|company brain.*permissions" /mnt/vault --include=*.md | head -100` 18. **bash** `stat -c '%y %n' "/mnt/vault/Native HQ/Work/Marketing/Content theme priority_ company brain leads, permissions later.md" "/mnt/vault/Native HQ/Work/Strategy & Planning/Company Strat…` 19. **bash** `grep -rn -i "supersed.*company brain\|company brain.*supersed\|supersed.*content theme\|content theme.*supersed\|supersed.*content priority\|content priority.*supersed" /mnt/vault …` 20. **bash** `grep -rn -i "launch message" /mnt/vault --include=*.md | cut -d: -f1 | sort -u` 21. **bash** `grep -n "" "/mnt/vault/Native HQ/Work/Sales & Partnerships/Outbound/Native's fifteen framings as hypotheses, and a 25-minute founder call that tests them (13 Oct 2026).md" | sed -n…` 22. **bash** `grep -n "" "/mnt/vault/Native HQ/Work/Strategy & Planning/Company Strategy/Launch/Founder push, 12 Oct – 8 Nov 2026/Ten founder alpha testers by 8 November_ the four-week plan.md" …` 23. **bash** `grep -n "" "/mnt/vault/Native HQ/Work/Marketing/Positioning & Messaging/Native's hypotheses on the Lean Canvas, with the evidence behind each box.md" | sed -n '1,70p'` 24. **bash** `grep -rn "11:02\|11:02 UTC\|16 Oct 2026\|16 October 2026" /mnt/vault --include=*.md | head -100` 25. **bash** `find /mnt/vault/Native HQ -type f -newermt "2026-10-15" | head -5; grep -rln "Content theme\|content theme" /mnt/vault/Native HQ --include=*.md` 26. **bash** `find "/mnt/vault/Native HQ" -maxdepth 2 -type d | sort` 27. **bash** `grep -rln -i "decision log\|decision register\|decisions log\|log of decisions" /mnt/vault/Native HQ --include=*.md | head -50` 28. **bash** `find "/mnt/vault/Native HQ/Control Centre" "/mnt/vault/Native HQ/Directory" -type f | sort | head -100` 29. **bash** `grep -n "" "/mnt/vault/Native HQ/Work/Strategy & Planning/Company Strategy/Launch/Launch.md" | sed -n '1,220p'` 30. **bash** `grep -rn -i "launch message is\|launch line is\|launch lead\|our launch\|the launch message\|the launch line\|launch narrative is" /mnt/vault/Native HQ --include=*.md | head -80` 31. **bash** `grep -rn -i "launch message is\|launch line is\|launch lead\|our launch\|the launch message\|the launch line\|launch narrative is" "/mnt/vault/Native HQ" --include=*.md | head -80` Agent answer · excerpt No. The old priority was overtaken by the 6 Oct 2026 decision \*\*“Launch message: Native is the open-source alternative to ChatGPT Space”\*\*, which explicitly says it “replaces ‘company brain’ as the lead.” The 13 Oct \*\*Competitor watch\*\* still calls that Native’s launch line; the 8 Oct decision to position against today’s tools shifted the comparator, not the launch message itself. The runs agree on the launch message but add different qualifications about the old content priority and later positioning notes. Those interpretations remain in their saved answers. **About these excerpts** **Original question:** Our content priority was 'company brain leads, permissions later'. Is that still our launch message? If not, what replaced it? Selected successful calls from the four runs below, recorded in October 2026 against the workspace snapshot of 16 October 2026, 11:02 UTC. They are historical examples, not statements of our current plans. Native calls show the complete tool input; shell calls show the complete command field. Results and agent answers are excerpts; “…” marks cuts between passages. Decoded result fields are labelled below. The abbreviated sequence shows successful calls in source order, with whitespace-normalized input previews cut at 180 characters. Failed calls, including harness and wiring errors, are omitted from the illustration. Expand the call ranges to inspect the intervening calls. Only the selected calls show results; portions of those results are omitted. Each card preserves its run’s source order; the cards do not imply a synchronized sequence. Strategy notes and explanations are editorial. Headlines use this run’s saved score and metrics, not a three-run median. “Pass” requires full credit; partial answers count as “Fail”. Total tokens add cached input, uncached input (including cache writes), reasoning and output. Counts accumulate across the entire attempt, rather than measure peak context or just these excerpts. Seconds are recorded attempt wall time, excluding warm-up; token totals and tool-call counts also exclude warm-up. Tool-call counts include failed calls; each shell invocation counts as one call even when it runs multiple commands. - `B01-mcp-r1` · source calls 5, 7 · batch `full-2026-10-18` - `B01-vault-r1` · source calls 18, 19 · batch `full-2026-10-18` - `B01-plain-r1` · source calls 17, 18 · batch `full-2026-10-18` - `B01-raw-r1` · source calls 11, 16 · batch `full-raw-2026-10-20` F07 · Question, rephrased > Where does Diogo Almeida work, and what is his outreach stage? | Setup | Tokens | Runtime | Result | | --- | --- | --- | --- | | Native's SQLite MCP | 217k5× fewer | 30 s5× faster | Pass | | Native-to-Markdown | 276k3.9× fewer | 65 s2.3× faster | Pass | | Markdown + wikilinks | 874k | 94 s | Pass | | Plain Markdown | 1.1M | 150 s | Pass | ### Native's SQLite MCP F07-mcp-r1 Pass Total tokens 217k Run time 30 s Tool calls 13 Cached input 182,784 Uncached input 31,868 Reasoning 1,401 Output 1,426 1. **Calls 1–3native\_bootstrap ×1 · search ×1 · get\_record ×1** 1. **native\_bootstrap** `{}` 2. **search** `{"operation": "search", "arguments": {"query": "Diogo Almeida"}}` 3. **get\_record** `{"executor": "records_read", "operation": "get_record", "arguments": {"ids": ["a897df16-4599-454f-ac82-284e7f574dcf"]}, "run_key": "breeze-chiffon-4c9jeq"}` 2. #### Read the person's org, role and stage facets Source call 4 · native\_sql\_read · query\_sql SQL · verbatim ``` SELECT id, record_id, key, value, value_num, vocab_ref, created_at FROM facet_values WHERE record_id = 'a897df16-4599-454f-ac82-284e7f574dcf' ORDER BY key ``` **Complete tool input** ``` { "operation": "query_sql", "arguments": { "sql": "SELECT id, record_id, key, value, value_num, vocab_ref, created_at FROM facet_values WHERE record_id = 'a897df16-4599-454f-ac82-284e7f574dcf' ORDER BY key" }, "run_key": "breeze-chiffon-4c9jeq" } ``` Result excerpt ``` "fv:a897df16-4599-454f-ac82-284e7f574dcf:org" "a897df16-4599-454f-ac82-284e7f574dcf" "org" "TypeSafe AI" null null "2026-09-15T20:39:43.723Z" "fv:a897df16-4599-454f-ac82-284e7f574dcf:role" "a897df16-4599-454f-ac82-284e7f574dcf" "role" "Co-founder & CEO" null null "2026-09-15T20:39:43.808Z" … "fv:a897df16-4599-454f-ac82-284e7f574dcf:stage" "a897df16-4599-454f-ac82-284e7f574dcf" "stage" "not yet contacted" null null "2026-09-15T20:39:43.877Z" ``` 3. **Calls 5–8search ×2 · get\_record ×1** 1. **search** `{"arguments": {"query": "TypeSafe outreach"}, "operation": "search", "run_key": "breeze-chiffon-4c9jeq"}` 2. **search** `{"arguments": {"query": "Diogo contacted"}, "operation": "search", "run_key": "breeze-chiffon-4c9jeq"}` 3. **get\_record** `{"arguments": {"ids": ["22cda333-a0eb-483b-9d6a-d1d9c416b449"]}, "executor": "records_read", "operation": "get_record", "run_key": "breeze-chiffon-4c9jeq"}` 4. #### Open the company record to separate it from the person Source call 9 · native\_call\_executor · get\_record Tool input · complete ``` { "arguments": { "ids": [ "778ac6a6-14e8-48c3-8096-5ab089e62365" ] }, "executor": "records_read", "operation": "get_record", "run_key": "breeze-chiffon-4c9jeq" } ``` Result excerpt ``` TypeSafe AI (778ac6a) Entity/organization … > - **Diogo Almeida** — CEO. Co-invented RLHF and the InstructGPT methods behind ChatGPT and GPT-4, at OpenAI; previously Google Brain. … > Richard reported that TypeSafe early access was granted on 16 Sep 2026. No substantive follow-up with the team is recorded yet. The proposed sequence is to run the existing seven-case freshness-materiality spike first, then use the evidence to discuss the Native use case, data-handling questions, possible Agent Plugin packaging, and whether TypeSafe would welcome a community Rust SDK. ``` 5. **Calls 10–13search ×2 · get\_history ×1** 1. **search** `{"arguments": {"query": "Diogo"}, "operation": "search", "run_key": "breeze-chiffon-4c9jeq"}` 2. **search** `{"arguments": {"query": "TypeSafe"}, "operation": "search", "run_key": "breeze-chiffon-4c9jeq"}` 3. **get\_history** `{"arguments": {"record_id": "a897df16-4599-454f-ac82-284e7f574dcf", "limit": 20}, "executor": "records_read", "operation": "get_history", "run_key": "breeze-chiffon-4c9jeq"}` Agent answer · excerpt Diogo Almeida (a897df1) works at \*\*TypeSafe AI\*\* as Co-founder & CEO (org facet; TypeSafe AI org record 778ac6a). His outreach stage is \*\*"not yet contacted"\*\* — the person record notes "No contact has been made." Note the distinction: the \*company\* (TypeSafe AI, 778ac6a) records early access granted 16 Sep 2026 with no substantive follow-up yet; Diogo personally remains at "not yet contacted" as of the 16 Oct point (record unchanged since 15 Sep). ### Native-to-Markdown F07-vault-r1 Pass Total tokens 276k Run time 65 s Tool calls 28 Cached input 248,832 Uncached input 22,177 Reasoning 3,354 Output 2,021 1. **Calls 1–10bash ×5** 1. **bash** `ls -la /mnt/vault` 2. **bash** `find /mnt/vault -maxdepth 3 -type d | head -50` 3. **bash** `find /mnt/vault -iname '*diogo*'` 4. **bash** `ls "/mnt/vault/Native HQ/Directory/"` 5. **bash** `wc -l "/mnt/vault/Native HQ/Directory/Diogo Almeida.md"` 2. #### Read the person's org, role and stage facets Source call 12 · bash Command · verbatim ``` head -50 "/mnt/vault/Native HQ/Directory/Diogo Almeida.md" ``` Result excerpt ``` "facet.org": "TypeSafe AI" "facet.role": "Co-founder & CEO" … "facet.stage": "not yet contacted" … No contact has been made. ``` 3. **Calls 13–27bash ×15** 1. **bash** `sed -n '1,50p' "/mnt/vault/Native HQ/Directory/Diogo Almeida.md"` 2. **bash** `base64 "/mnt/vault/Native HQ/Directory/Diogo Almeida.md"` 3. **bash** `base64 "/mnt/vault/Native HQ/Directory/Diogo Almeida.md" > /tmp/opencode/diogo.b64; wc -c /tmp/opencode/diogo.b64` 4. **bash** `grep -rl "Diogo" /mnt/vault 2>/dev/null` 5. **bash** `grep -rl "typesafe\|TypeSafe" /mnt/vault 2>/dev/null` 6. **bash** `grep -o "Diogo[^\"]*" /mnt/vault/.native/state.json | head; echo "---size---"; wc -c /mnt/vault/.native/state.json` 7. **bash** `grep -rn "Diogo" "/mnt/vault/Native HQ/Library/Meeting Transcripts/Stand-up_ George and Richard, 7 Oct 2026.md"` 8. **bash** `grep -rn "Diogo" /mnt/vault/Messages/Unfiled.md` 9. **bash** `head -c 2000 /mnt/vault/.native/state.json; echo; echo "=== keys ==="; python3 -c "import json; d=json.load(open('/mnt/vault/.native/state.json')); print(type(d)); print(list(d.key…` 10. **bash** `python3 - <<'EOF' import json d=json.load(open('/mnt/vault/.native/state.json')) for k in d: v=d[k] print(k, type(v).__name__, (len(v) if hasattr(v,'__len__') else v)) EOF` 11. **bash** `python3 - <<'EOF' import json d=json.load(open('/mnt/vault/.native/state.json')) files=d['files'] print("num files", len(files)) # find key containing Diogo for k,v in files.items(…` 12. **bash** `python3 - <<'EOF' import json d=json.load(open('/mnt/vault/.native/state.json')) v=d['files']['Native HQ/Directory/Diogo Almeida.md'] print(type(v)) print(json.dumps(v, indent=1)[:…` 13. **bash** `python3 - <<'EOF' import json d=json.load(open('/mnt/vault/.native/state.json')) vis=d['visible'] print(type(vis), len(vis)) print(json.dumps(vis[0], indent=1)[:1500]) # find diogo…` 14. **bash** `grep -n "TypeSafe\|Diogo" /mnt/vault/Messages/Unfiled.md | head -40; echo "=== count ==="; wc -l /mnt/vault/Messages/Unfiled.md` 15. **bash** `ls -la /mnt/vault/Messages/; echo "---"; ls -la "/mnt/vault/Native HQ/Attention/"` 4. #### Read the company record's kind and engagement Source call 28 · bash Command · verbatim ``` sed -n '1,80p' "/mnt/vault/Native HQ/Directory/TypeSafe AI.md" ``` Result excerpt ``` "kind": "organization" "last_activity_at": "2026-09-16T14:30:24.967Z" "name": "TypeSafe AI" … ## Engagement Richard reported that TypeSafe early access was granted on 16 Sep 2026. No substantive follow-up with the team is recorded yet. The proposed sequence is to run the existing seven-case freshness-materiality spike first, then use the evidence to discuss the Native use case, data-handling questions, possible Agent Plugin packaging, and whether TypeSafe would welcome a community Rust SDK. ``` Agent answer · excerpt \*\*TypeSafe AI\*\* — he is its co-founder & CEO. His outreach stage is \*\*"not yet contacted."\*\* Source: \`Native HQ/Directory/Diogo Almeida.md\` (facets \`org: TypeSafe AI\`, \`role: Co-founder & CEO\`, \`stage: not yet contacted\`; record last updated 15 Sep 2026, no later change). Corroborated by \`Native HQ/Directory/TypeSafe AI.md\`, which lists him as CEO. ### Markdown + wikilinks F07-plain-r1 Pass Total tokens 874k Run time 94 s Tool calls 33 Cached input 773,376 Uncached input 90,306 Reasoning 7,745 Output 2,416 1. **Calls 1–10bash ×5** 1. **bash** `ls /mnt/vault` 2. **bash** `find /mnt/vault -type f | head -200` 3. **bash** `grep -rli "diogo" /mnt/vault` 4. **bash** `grep -n . "/mnt/vault/Native HQ/Directory/Diogo Almeida.md"` 5. **bash** `grep -rn "outreach" /mnt/vault --include=*.md -i | head -50` 2. #### Read the person and company records Source call 11 · bash Command · verbatim ``` grep -rn "" "/mnt/vault/Native HQ/Directory/Diogo Almeida.md" | head -40; echo ===; grep -rn "" "/mnt/vault/Native HQ/Directory/TypeSafe AI.md" | head -80 ``` Result excerpt ``` 6:Co-founder and CEO of [TypeSafe AI](https://n8v.to/778ac6a). Per TypeSafe's own team page, he co-invented RLHF and the InstructGPT methods that led to ChatGPT and GPT-4, at OpenAI, and was previously at Google Brain. … 16:No contact has been made. … 8:**Jev** is their first publicly announced model, launched alongside the "System One" framing in September 2026. It is a hosted classifier, not a small LLM: ``` 3. **Calls 12–15bash ×4** 1. **bash** `ls /mnt/vault/Native HQ/Directory/ | head; echo ===; grep -rln "stage" /mnt/vault/Native HQ/Directory/ | head -40` 2. **bash** `grep -rn "" "/mnt/vault/Native HQ/System/Schema/Schema.md" | head -200` 3. **bash** `ls "/mnt/vault/Native HQ/Directory/"` 4. **bash** `ls -R "/mnt/vault/Native HQ/System/"` 4. #### Find the outreach-listing row for Diogo Almeida Source call 16 · bash Command · verbatim ``` grep -rn "Almeida" /mnt/vault ``` Result excerpt ``` /mnt/vault/Native HQ/Work/Strategy & Planning/Company Strategy/Launch/Credible backers/Credible backers_ full list.md:247:| [Diogo Almeida](https://www.linkedin.com/in/diogomda/) | builder | 1 | 4 | 1 | 1 | 5 | Drop | | no | | Co-founder and CEO, TypeSafe AI | R: unconfirmed [C](https://app.withnative.ai/a897df1) [P](https://app.withnative.ai/a897df1) [record](https://app.withnative.ai/a897df1) | ``` 5. **Calls 17–33bash ×17** 1. **bash** `grep -rn "" "/mnt/vault/Native HQ/Directory/Directory.md" | head -60; echo ===START===; grep -rn "" "/mnt/vault/Native HQ/Directory/START HERE — Investor CRM (VCs and angels).md" |…` 2. **bash** `grep -n "" "/mnt/vault/Native HQ/Work/Strategy & Planning/Company Strategy/Launch/Credible backers/Credible backers_ full list.md" | head -60` 3. **bash** `grep -rn "stage" /mnt/vault --include=*.md -i | grep -iv "standup" | head -40` 4. **bash** `grep -rniE "stage[ :]|pipelines|pipeline|engagement state|lifecycle" /mnt/vault/Native HQ/Directory/Diogo\ Almeida.md "/mnt/vault/Native HQ/Directory/TypeSafe AI.md"; echo ===READM…` 5. **bash** `ls "/mnt/vault/Native HQ/Work"; echo ===; find "/mnt/vault/Native HQ/Work" -maxdepth 3 -type d` 6. **bash** `grep -rli "typesafe\|diogo\|jev" /mnt/vault/Native HQ/Work; echo ===; find "/mnt/vault/Native HQ/Work/Sales & Partnerships" -type f` 7. **bash** `od -c "/mnt/vault/Native HQ/Directory/Diogo Almeida.md" | head -5; echo ===SIZE===; wc -c "/mnt/vault/Native HQ/Directory/Diogo Almeida.md"` 8. **bash** `grep -rni "outreach stage" /mnt/vault; echo ===; grep -rli "typesafe" /mnt/vault; echo ===JEV===; grep -rli "jev" /mnt/vault` 9. **bash** `grep -n "" "/mnt/vault/Native HQ/Directory/Igor Babuschkin.md" | head -80` 10. **bash** `grep -n "" "/mnt/vault/Native HQ/Work/Sales & Partnerships/Partnerships/Outreach tickets — OSS founder wave/Ishaan Sehgal (Omnara) — outreach.md"; echo ===DIR===; ls "/mnt/vault/Na…` 11. **bash** `ls "/mnt/vault/Native HQ/Work/Strategy & Planning/Company Strategy/Launch/Credible backers/"; echo ===; ls "/mnt/vault/Native HQ/Work/Strategy & Planning/Company Strategy/Launch/"` 12. **bash** `grep -rn "Outreach stage\|outreach stage" "/mnt/vault/Native HQ/Work/Sales & Partnerships/Partnerships/Outreach tickets — OSS founder wave/Outreach tickets — OSS founder wave.md" "…` 13. **bash** `grep -rn "stage" "/mnt/vault/Native HQ/Work/Strategy & Planning/Company Strategy/Launch/Credible backers/" -i | head -40` 14. **bash** `grep -n "" "/mnt/vault/Native HQ/Library/Meeting Transcripts/Stand-up_ George and Richard, 7 Oct 2026.md" | grep -in "diogo\|typesafe\|jev"` 15. **bash** `grep -n "Almeida\|contact\|outreach\|TypeSafe" "/mnt/vault/Native HQ/Work/Strategy & Planning/Company Strategy/Launch/Breakout launch studies/Launch study_ Jev (TypeSafe AI), Septe…` 16. **bash** `grep -n "Almeida\|TypeSafe\|Jev\|Diogo" "/mnt/vault/Messages/Unfiled.md" | head -40` 17. **bash** `grep -n "" "/mnt/vault/Native HQ/Directory/Manav Rathi.md"; echo =====; grep -n "" "/mnt/vault/Native HQ/Directory/Erik Brynjolfsson.md" | head -40` Agent answer · excerpt Diogo Almeida is co-founder and CEO of \*\*TypeSafe AI\*\* (San Francisco) — per his Directory record "Diogo Almeida" and the "TypeSafe AI" record. His outreach stage is \*\*no contact made / not yet contacted\*\*. His record states plainly, "No contact has been made" (the TypeSafe AI record likewise notes no substantive follow-up with the team is recorded yet). ### Plain Markdown F07-raw-r1 Pass Total tokens 1.1M Run time 150 s Tool calls 58 Cached input 998,656 Uncached input 76,434 Reasoning 6,870 Output 3,915 1. **Calls 1–22bash ×12** 1. **bash** `ls -la /mnt/vault` 2. **bash** `find /mnt/vault -maxdepth 3 -type d | head -100` 3. **bash** `find /mnt/vault -type f | wc -l; find /mnt/vault -type f | head -100` 4. **bash** `grep -ril "Diogo Almeida" /mnt/vault | head -50` 5. **bash** `find "/mnt/vault/Native HQ/Directory" -type f | head -100` 6. **bash** `ls /mnt/vault/Native\ HQ/Directory | head -5` 7. **bash** `readlink -f /mnt/vault; stat -c '%n %F' /mnt/vault "/mnt/vault/Native HQ/Directory/Diogo Almeida.md"` 8. **bash** `ls -la /work; find /work -maxdepth 2 | head -50` 9. **bash** `mount | grep -i vault; ls -la /mnt; ls -la /` 10. **bash** `find /xdg -maxdepth 4 -type f | head -50; ls -la /xdg/data/opencode 2>/dev/null` 11. **bash** `python3 -c "print(open('/xdg/config/opencode/opencode.json').read())"` 12. **bash** `find /xdg/data/opencode/repos -maxdepth 3 | head -50; ls -la /xdg/data/opencode/repos` 2. #### Read the person record Source call 24 · bash Command · verbatim ``` sed -n '1,200p' /mnt/vault/Native\ HQ/Directory/Diogo\ Almeida.md ``` Result excerpt ``` Co-founder and CEO of TypeSafe AI. Per TypeSafe's own team page, he co-invented RLHF and the InstructGPT methods that led to ChatGPT and GPT-4, at OpenAI, and was previously at Google Brain. … No contact has been made. ``` 3. **Calls 25–42bash ×18** 1. **bash** `sed -n '1,80p' /mnt/vault/Native\ HQ/Directory/Diogo\ Almeida.md | nl -ba` 2. **bash** `sed -n '1,120p' /mnt/vault/Native\ HQ/Directory/Jack\ Smith.md | nl -ba` 3. **bash** `grep -rin "outreach" /mnt/vault/Native\ HQ/Directory 2>/dev/null | head -50` 4. **bash** `grep -rin "Diogo" /mnt/vault 2>/dev/null | head -50` 5. **bash** `grep -rin "outreach stage\|stage:" /mnt/vault 2>/dev/null | head -80` 6. **bash** `grep -ril "Almeida" /mnt/vault 2>/dev/null` 7. **bash** `grep -rin "typesafe\|Almeida\|Jev" /mnt/vault/Native\ HQ/Work/Sales\ \&\ Partnerships 2>/dev/null | head -80` 8. **bash** `find /mnt/vault/Native\ HQ/Work/Sales\ \&\ Partnerships -type f | sed 's#.*/##' | head -120` 9. **bash** `grep -rin "diogo\|almeida\|typesafe\|jev" /mnt/vault/Native\ HQ/Work/Sales\ \&\ Partnerships /mnt/vault/Native\ HQ/Work/Strategy\ \&\ Planning/Company\ Strategy 2>/dev/null | head …` 10. **bash** `sed -n '1,200p' "/mnt/vault/Native HQ/Work/Sales & Partnerships/Customer funnel.md"` 11. **bash** `find /mnt/vault/Native\ HQ/System -type f | head -50` 12. **bash** `find /mnt/vault -iname "*funnel*" -o -iname "*.csv" | head -50` 13. **bash** `grep -rin "outreach stage\|outreach_stage\|Outreach stage" /mnt/vault 2>/dev/null | head -50` 14. **bash** `sed -n '1,240p' /mnt/vault/Native\ HQ/System/Schema/Schema.md` 15. **bash** `sed -n '1,220p' "/mnt/vault/Native HQ/Work/Sales & Partnerships/Pipeline/Customer funnel.md"` 16. **bash** `ls -la "/mnt/vault/Native HQ/Work/Sales & Partnerships/Pipeline/" | head -80` 17. **bash** `find "/mnt/vault/Native HQ/Work/Sales & Partnerships" -type f | wc -l; find "/mnt/vault/Native HQ/Work/Sales & Partnerships" -type f | sed -n '1,200p'` 18. **bash** `sed -n '1,40p' "/mnt/vault/Native HQ/Work/Strategy & Planning/Company Strategy/Launch/Credible backers/Credible backers_ full list.md"; echo '---'; sed -n '235,255p' "/mnt/vault/Na…` 4. #### Read the company record's founders and engagement Source call 43 · bash Command · verbatim ``` sed -n '1,120p' "/mnt/vault/Native HQ/Directory/TypeSafe AI.md" ``` Result excerpt ``` - **Diogo Almeida** — CEO. Co-invented RLHF and the InstructGPT methods behind ChatGPT and GPT-4, at OpenAI; previously Google Brain. … ## Engagement Richard reported that TypeSafe early access was granted on 16 Sep 2026. No substantive follow-up with the team is recorded yet. The proposed sequence is to run the existing seven-case freshness-materiality spike first, then use the evidence to discuss the Native use case, data-handling questions, possible Agent Plugin packaging, and whether TypeSafe would welcome a community Rust SDK. ``` 5. **Calls 44–58bash ×15** 1. **bash** `find /mnt/vault -maxdepth 3 -name ".*" -print | head -50; find /mnt/vault -type f ! -name "*.md" | head -50` 2. **bash** `find /mnt/vault -type f -printf '%f\n' | grep -i "diogo\|typesafe"` 3. **bash** `for f in $(find /mnt/vault -type f -iname "*TypeSafe*" -printf '%p\n'); do echo "===== $f"; sed -n '1,60p' "$f"; done` 4. **bash** `find /mnt/vault -type f -printf '%p\n' | grep -i "diogo\|almeida"` 5. **bash** `find /mnt/vault -type f -iname "*TypeSafe*" -print0 | while IFS= read -r -d '' f; do echo "===== $f"; sed -n '1,80p' "$f"; done` 6. **bash** `sed -n '1,120p' "/mnt/vault/Native HQ/Work/Sales & Partnerships/Partnerships/Outreach tickets — OSS founder wave/Outreach tickets — OSS founder wave.md"` 7. **bash** `grep -rin "outreach_stage\|outreach stage" /mnt/vault/Native\ HQ/Work/Sales\ \&\ Partnerships 2>/dev/null | head -100` 8. **bash** `getfattr -d "/mnt/vault/Native HQ/Directory/Diogo Almeida.md" 2>&1; stat "/mnt/vault/Native HQ/Directory/Diogo Almeida.md"` 9. **bash** `sed -n '1,80p' "/mnt/vault/Native HQ/Work/Sales & Partnerships/Partnerships/Outreach tickets — OSS founder wave/Ishaan Sehgal (Omnara) — outreach.md"; echo ====; sed -n '1,80p' "/m…` 10. **bash** `grep -rin "No contact has been made\|no contact has been made\|not been contacted\|no contact" /mnt/vault/Native\ HQ/Directory 2>/dev/null | head -80` 11. **bash** `grep -rin "Outreach priority\|Outreach stage\|Stage:\|Status:" /mnt/vault/Native\ HQ/Directory 2>/dev/null | head -80` 12. **bash** `find /mnt/vault/Messages -type f -printf '%f\n' | head -100; echo ---; grep -rin "Diogo\|Almeida" /mnt/vault/Messages 2>/dev/null | head` 13. **bash** `grep -rin "TypeSafe\|Jev" /mnt/vault/Messages 2>/dev/null | head -50` 14. **bash** `sed -n '1,160p' "/mnt/vault/Native HQ/Directory/START HERE — Investor CRM (VCs and angels).md"` 15. **bash** `sed -n '1,160p' "/mnt/vault/Native HQ/Work/Sales & Partnerships/Pipeline/Pipeline.md"; echo ====; sed -n '1,160p' "/mnt/vault/Native HQ/Work/Sales & Partnerships/Partnerships/Maste…` Agent answer · excerpt Diogo Almeida is co-founder and CEO of \*\*TypeSafe AI\*\* (San Francisco). His record states \*\*“No contact has been made”\*\* — i.e. not contacted, with no outreach stage recorded. In the 29–30 Sep credible-backers screen he was classed \*\*“Drop.”\*\* Sources: \*Diogo Almeida\*; \*TypeSafe AI\*; \*Credible backers: full list\*. A person’s contact stage is distinct from the company’s early-access status. The contact status is also stated in prose, so SQL is one retrieval route to an answer available in the files. **About these excerpts** **Original question:** Where does Diogo Almeida work, and what is his outreach stage? Selected successful calls from the four runs below, recorded in October 2026 against the workspace snapshot of 16 October 2026, 11:02 UTC. They are historical examples, not statements of our current plans. Native calls show the complete tool input; shell calls show the complete command field. Results and agent answers are excerpts; “…” marks cuts between passages. Decoded result fields are labelled below. The abbreviated sequence shows successful calls in source order, with whitespace-normalized input previews cut at 180 characters. Failed calls, including harness and wiring errors, are omitted from the illustration. Expand the call ranges to inspect the intervening calls. Only the selected calls show results; portions of those results are omitted. Each card preserves its run’s source order; the cards do not imply a synchronized sequence. Strategy notes and explanations are editorial. Headlines use this run’s saved score and metrics, not a three-run median. “Pass” requires full credit; partial answers count as “Fail”. Total tokens add cached input, uncached input (including cache writes), reasoning and output. Counts accumulate across the entire attempt, rather than measure peak context or just these excerpts. Seconds are recorded attempt wall time, excluding warm-up; token totals and tool-call counts also exclude warm-up. Tool-call counts include failed calls; each shell invocation counts as one call even when it runs multiple commands. - `F07-mcp-r1` · source calls 4, 9 · batch `full-2026-10-18` - `F07-vault-r1` · source calls 12, 28 · batch `full-2026-10-18` - `F07-plain-r1` · source calls 11, 16 · batch `full-2026-10-18` - `F07-raw-r1` · source calls 24, 43 · batch `full-raw-2026-10-20` J02 · Original question > Which epic has the most active tasks directly under it, and how many? | Setup | Tokens | Runtime | Result | | --- | --- | --- | --- | | Native's SQLite MCP | 138k112× fewer | 43 s19.3× faster | Pass | | Native-to-Markdown | 1.1M13.7× fewer | 169 s4.9× faster | Pass | | Markdown + wikilinks | 15M | 830 s | Fail | | Plain Markdown | 15M | 694 s | Fail | ### Native's SQLite MCP J02-mcp-r1 Pass Total tokens 138k Run time 43 s Tool calls 11 Cached input 113,920 Uncached input 19,277 Reasoning 3,062 Output 1,756 1. **Calls 1–7query\_sql ×7** 1. **query\_sql** `SELECT type, kind, lifecycle, COUNT(*) AS n FROM records WHERE archived = 0 AND deleted_at IS NULL GROUP BY type, kind, lifecycle ORDER BY type, kind, lifecycle` 2. **query\_sql** `SELECT DISTINCT relationship FROM links ORDER BY relationship` 3. **query\_sql** `SELECT id, name, kind, lifecycle FROM records WHERE type='WorkItem' AND kind='epic' AND archived=0 AND deleted_at IS NULL ORDER BY lifecycle, name` 4. **query\_sql** `SELECT l.relationship, COUNT(*) n FROM links l JOIN records s ON s.id=l.source_id JOIN records t ON t.id=l.target_id WHERE s.type='WorkItem' AND t.type='WorkItem' GROUP BY l.relati…` 5. **query\_sql** `SELECT type, COUNT(*) n FROM content_events GROUP BY type ORDER BY n DESC` 6. **query\_sql** `SELECT MIN(created_at_ms) mn, MAX(created_at_ms) mx, MIN(created_at) mn2, MAX(created_at) mx2 FROM content_events` 7. **query\_sql** `SELECT COUNT(*) n, SUM(CASE WHEN deleted_at IS NOT NULL THEN 1 ELSE 0 END) del, SUM(CASE WHEN archived=1 THEN 1 ELSE 0 END) arc FROM records` 2. #### Count active tasks per epic Source call 9 · native\_sql\_read · query\_sql SQL · verbatim ``` SELECT e.id, e.name, e.lifecycle AS epic_life, COUNT(DISTINCT s.id) AS active_tasks FROM records e JOIN links l ON l.target_id=e.id AND l.relationship='part_of' JOIN records s ON s.id=l.source_id AND s.type='WorkItem' AND s.kind='task' AND s.lifecycle IN ('open','in_progress','blocked') AND s.archived=0 AND s.deleted_at IS NULL WHERE e.type='WorkItem' AND e.kind='epic' AND e.archived=0 AND e.deleted_at IS NULL GROUP BY e.id, e.name, e.lifecycle ORDER BY active_tasks DESC ``` **Complete tool input** ``` { "operation": "query_sql", "arguments": { "sql": "SELECT e.id, e.name, e.lifecycle AS epic_life, COUNT(DISTINCT s.id) AS active_tasks FROM records e JOIN links l ON l.target_id=e.id AND l.relationship='part_of' JOIN records s ON s.id=l.source_id AND s.type='WorkItem' AND s.kind='task' AND s.lifecycle IN ('open','in_progress','blocked') AND s.archived=0 AND s.deleted_at IS NULL WHERE e.type='WorkItem' AND e.kind='epic' AND e.archived=0 AND e.deleted_at IS NULL GROUP BY e.id, e.name, e.lifecycle ORDER BY active_tasks DESC" } } ``` Result excerpt ``` 75 row(s) returned As of content sequence: 76816 id name epic_life active_tasks … "820567c9-3e15-4adf-a50c-925643a8be0c" "Native desktop v1 — a Paseo fork whose interface is a launcher we own, with Native's default apps in familiar looks over your Native data" "open" 39 ``` 3. #### List the top epic's active tasks Source call 10 · native\_sql\_read · query\_sql SQL · verbatim ``` SELECT s.id, s.name, s.kind, s.lifecycle FROM records s JOIN links l ON l.source_id=s.id AND l.relationship='part_of' AND l.target_id='820567c9-3e15-4adf-a50c-925643a8be0c' WHERE s.type='WorkItem' AND s.kind='task' AND s.lifecycle IN ('open','in_progress','blocked') AND s.archived=0 AND s.deleted_at IS NULL ORDER BY s.lifecycle, s.name ``` **Complete tool input** ``` { "operation": "query_sql", "arguments": { "sql": "SELECT s.id, s.name, s.kind, s.lifecycle FROM records s JOIN links l ON l.source_id=s.id AND l.relationship='part_of' AND l.target_id='820567c9-3e15-4adf-a50c-925643a8be0c' WHERE s.type='WorkItem' AND s.kind='task' AND s.lifecycle IN ('open','in_progress','blocked') AND s.archived=0 AND s.deleted_at IS NULL ORDER BY s.lifecycle, s.name" } } ``` Result excerpt ``` 39 row(s) returned As of content sequence: 76816 id name kind lifecycle … "fba8861c-7743-4feb-ba28-4ccf26f383c9" "Integrate Muse Code into Native Desktop with automatic Native and Desktop MCP access" "task" "in_progress" ``` 4. **Call 11query\_sql ×1** 1. **query\_sql** `SELECT l.relationship, t.type AS target_type, t.kind AS target_kind, COUNT(*) n FROM links l JOIN records s ON s.id=l.source_id AND s.type='WorkItem' AND s.kind='task' JOIN records…` Agent answer · excerpt \*\*"Native desktop v1 — a Paseo fork whose interface is a launcher we own, with Native's default apps in familiar looks over your Native data"\*\* (\`820567c9-3e15-4adf-a50c-925643a8be0c\`) — \*\*39 active tasks\*\* directly under it. ### Native-to-Markdown J02-vault-r1 Pass Total tokens 1.1M Run time 169 s Tool calls 43 Cached input 1,064,192 Uncached input 48,084 Reasoning 7,362 Output 6,098 1. **Calls 1–36bash ×25 · glob ×1** 1. **bash** `ls -la /mnt/vault` 2. **glob** `{"pattern": "/mnt/vault/**/*"}` 3. **bash** `ls -R /mnt/vault` 4. **bash** `grep -rl "kind: epic" /mnt/vault | head` 5. **bash** `ls /mnt/vault/Native HQ/Work` 6. **bash** `grep -rl "epic" /mnt/vault | head -50` 7. **bash** `head -20 "/mnt/vault/README.md"` 8. **bash** `sed -n '1,20p' "/mnt/vault/README.md"` 9. **bash** `ls -la /mnt/vault/.native/; wc -l /mnt/vault/.native/state.json; wc -c /mnt/vault/.native/state.json` 10. **bash** `ls -la "/mnt/vault/Native HQ"` 11. **bash** `head -c 3000 /mnt/vault/.native/STATUS.md` 12. **bash** `head -c 3000 /mnt/vault/.native/state.json` 13. **bash** `which jq python3 node; python3 --version 2>&1; node --version 2>&1` 14. **bash** `python3 - <<'EOF' import json d=json.load(open('/mnt/vault/.native/state.json')) print(type(d)) print(list(d.keys())) for k,v in d.items(): print(k, type(v), (len(v) if hasattr(v,'…` 15. **bash** `python3 - <<'EOF' import json d=json.load(open('/mnt/vault/.native/state.json')) files=d['files'] ks=list(files.keys()) print(len(ks)) import itertools for k in ks[:3]: print('KEY'…` 16. **bash** `grep -rl "part_of" /mnt/vault | head -20; echo "---"; grep -rl "kind:" /mnt/vault | head -20` 17. **bash** `grep -rl "lifecycle" /mnt/vault | head -20; echo "---count---"; grep -rl "lifecycle" /mnt/vault | wc -l` 18. **bash** `sed -n '1,60p' "/mnt/vault/Native HQ/My agent context/Executive assistant/EA Phase 0 — Commission the EA host and pass the commissioning gate.md"` 19. **bash** `grep -rn "part_of" "/mnt/vault/Native HQ/PR2408 scope-stream reload required CI diagnosis and fix.md" | head; echo "=== full frontmatter ==="; sed -n '1,40p' "/mnt/vault/Native HQ/…` 20. **bash** `grep -c "lifecycle" /mnt/vault/.native/state.json; grep -o '"kind":"[a-z_]*"' /mnt/vault/.native/state.json | sort | uniq -c | head; grep -o 'lifecycle[^,]{0,40}' /mnt/vault/.nativ…` 21. **bash** `python3 - <<'PYEOF' s=open('/mnt/vault/.native/state.json',encoding='utf-8').read() import re for pat in ['lifecycle','"kind"','"type"','Resolution','epic','part_of','depends_on','…` 22. **bash** `python3 - <<'PYEOF' s=open('/mnt/vault/.native/state.json',encoding='utf-8').read() for off in [66500,136300,304000,887800,2303200,1114080,382000]: print('=====',off) print(s[off:o…` 23. **bash** `grep -rH -E '^"(kind|lifecycle|type|part_of|depends_on|blocked_by|id|name|updated_at|created_at|archived|deleted|status)"' /mnt/vault --include=*.md > /tmp/opencode/fm.txt; wc -l /…` 24. **bash** `python3 - <<'PYEOF' import re,collections keys=collections.Counter() for line in open('/tmp/opencode/fm.txt',encoding='utf-8'): m=re.match(r'^([^:]+):(\d+):"([A-Za-z0-9_.]+)":?(.*)…` 25. **bash** `sed -n '1,5p' /tmp/opencode/fm.txt; echo ---; grep -c '"kind"' /tmp/opencode/fm.txt; grep -c 'part_of' /tmp/opencode/fm.txt` 26. **bash** `python3 - <<'PYEOF' import re,collections keys=collections.Counter() for line in open('/tmp/opencode/fm.txt',encoding='utf-8'): m=re.match(r'^(.*?\.md):"([A-Za-z0-9_.]+)":\s?(.*)$'…` 2. #### Count records by kind Source call 37 · bash Command · verbatim ``` python3 - <<'PYEOF' import re,collections,json recs=collections.defaultdict(dict) for line in open('/tmp/opencode/fm.txt',encoding='utf-8'): m=re.match(r'^(.*?\.md):"([A-Za-z0-9_.]+)":\s?(.*)$',line) if not m: continue path,key,val=m.group(1),m.group(2),m.group(3).rstrip('\n') recs[path][key]=val print('records',len(recs)) kinds=collections.Counter(r.get('kind') for r in recs.values()) print('KINDS') for k,c in kinds.most_common(): print(' ',c,k) lifes=collections.Counter(r.get('lifecycle') for r in recs.values()) print('LIFECYCLES') for k,c in lifes.most_common(): print(' ',c,k) PYEOF ``` Result excerpt ``` records 10813 KINDS 4789 "note" 2461 "task" … 93 "epic" ``` 3. **Calls 38–41bash ×4** 1. **bash** `python3 - <<'PYEOF' import re,collections,json recs=collections.defaultdict(dict) for line in open('/tmp/opencode/fm.txt',encoding='utf-8'): m=re.match(r'^(.*?\.md):"([A-Za-z0-9_.]…` 2. **bash** `python3 - <<'PYEOF' import re,collections recs=collections.defaultdict(dict) for line in open('/tmp/opencode/fm.txt',encoding='utf-8'): m=re.match(r'^(.*?\.md):"([A-Za-z0-9_.]+)":\…` 3. **bash** `python3 - <<'PYEOF' import re,collections recs=collections.defaultdict(dict) for line in open('/tmp/opencode/fm.txt',encoding='utf-8'): m=re.match(r'^(.*?\.md):"([A-Za-z0-9_.]+)":\…` 4. **bash** `python3 - <<'PYEOF' import re,collections bad=0 for line in open('/tmp/opencode/fm.txt',encoding='utf-8'): if ':"part_of":' in line or ':"depends_on":' in line or ':"blocked_by":' …` 4. #### Count the top epic's active direct children Source call 42 · bash Command · verbatim ``` python3 - <<'PYEOF' import re,collections recs=collections.defaultdict(dict) for line in open('/tmp/opencode/fm.txt',encoding='utf-8'): m=re.match(r'^(.*?\.md):"([A-Za-z0-9_.]+)":\s?(.*)$',line) if not m: continue recs[m.group(1)][m.group(2)]=m.group(3).rstrip('\n') def uq(s): return s[1:-1] if s and s.startswith('"') and s.endswith('"') else s def resolve(link): m=re.match(r'\[\[([^\]|]+)(?:\|[^\]]*)?\]\]',link.strip()) return '/mnt/vault/'+m.group(1).strip()+'.md' def links(val): return [resolve(x) for x in re.findall(r'\[\[.*?\]\]',val or '')] ACTIVE={'open','in_progress','blocked'} TOP='/mnt/vault/Native HQ/Work/Product/Malleable UI — agent-built surfaces and shells/Native desktop v1 — a Paseo fork whose interface is a launcher we own, with Native\'s default apps in familiar looks over your Native data.md' r=recs[TOP] print('TOP EPIC frontmatter:') for k in ['id','kind','lifecycle','type','name','updated_at']: print(' ',k,'=',uq(r.get(k,''))) kids=[p for p,rr in recs.items() if uq(rr.get('kind',''))=='task' and uq(rr.get('lifecycle','')) in ACTIVE and TOP in links(rr.get('part_of',''))] print('active direct child tasks:',len(kids)) # check children part_of arrays only point here? multi=0 for p in kids: ls=links(recs[p].get('part_of','')) if len(ls)!=1: multi+=1 print(' multi part_of:',uq(recs[p].get('name','')), [recs[x].get('name') for x in ls]) print('children with >1 part_of:',multi) # nested: tasks whose part_of is one of these kids kidset=set(kids) nested=[p for p,rr in recs.items() if uq(rr.get('kind',''))=='task' and set(links(rr.get('part_of','')))&kidset] print('tasks nested under these direct children:',len(nested)) PYEOF ``` Result excerpt ``` TOP EPIC frontmatter: id = 820567c9-3e15-4adf-a50c-925643a8be0c kind = epic lifecycle = open … active direct child tasks: 39 children with >1 part_of: 0 tasks nested under these direct children: 11 ``` 5. **Call 43bash ×1** 1. **bash** `grep -n "## Links" -A 300 "/mnt/vault/Native HQ/Work/Product/Malleable UI — agent-built surfaces and shells/Native desktop v1 — a Paseo fork whose interface is a launcher we own, w…` Agent answer · excerpt \*\*"Native desktop v1 — a Paseo fork whose interface is a launcher we own, with Native's default apps in familiar looks over your Native data"\*\* (kind \`epic\`, lifecycle open) — \*\*39 active tasks\*\* linked directly to it by \`part\_of\`. ### Markdown + wikilinks J02-plain-r1 Fail Partial credit · 50% score Total tokens 15M Run time 830 s Tool calls 131 Cached input 14,517,632 Uncached input 255,421 Reasoning 43,001 Output 12,389 1. **Calls 1–111bash ×105 · glob ×1** 1. **bash** `ls -la /mnt/vault` 2. **glob** `{"pattern": "/mnt/vault/**/*"}` 3. **bash** `ls -la /` 4. **bash** `ls -R "/mnt/vault/Native HQ"` 5. **bash** `grep -rl "kind: task" /mnt/vault 2>&1 | head -20` 6. **bash** `grep -r "" /mnt/vault/README.md` 7. **bash** `grep -r "" "/mnt/vault/Native HQ/Work/Product/Product Operations/Recipe dogfood run 2 — prefiltering reaches four non-overlapping candidates.md"` 8. **bash** `grep -rl "part_of\|lifecycle" /mnt/vault 2>&1 | head -50; echo "COUNT:"; grep -rl "part_of\|lifecycle" /mnt/vault 2>&1 | wc -l` 9. **bash** `grep -rn "^kind:" /mnt/vault 2>&1 | head -20; echo "==="; grep -rln "^type:" /mnt/vault 2>&1 | head -20; echo "count type:"; grep -rln "^type:" /mnt/vault 2>&1 | wc -l` 10. **bash** `ls -la "/mnt/vault/Native HQ"; echo "==="; ls -la "/mnt/vault/Native HQ/System" 2>&1` 11. **bash** `ls -la "/mnt/vault/Native HQ/System/Schema" "/mnt/vault/Native HQ/System/Migration" "/mnt/vault/Native HQ/System/Onboarding"` 12. **bash** `grep -rl "Qualify and route Product backlog candidates" /mnt/vault 2>&1 | head; echo "==="; find /mnt/vault -name "*Qualify and route*" 2>&1` 13. **bash** `grep -r "" "/mnt/vault/Native HQ/Work/Product/Product Operations/Qualify and route Product backlog candidates.md"` 14. **bash** `ls -la "/mnt/vault/Native HQ/Agent instructions" "/mnt/vault/Native HQ/Control Centre" "/mnt/vault/Native HQ/Library" 2>&1` 15. **bash** `grep -rn "^\- part_of:\|^part_of:\|part_of:" /mnt/vault 2>&1 | head -20; echo "=== depends"; grep -rn "depends_on:" /mnt/vault 2>&1 | head -10; echo "=== lifecycle"; grep -rn "life…` 16. **bash** `find /mnt/vault -type f ! -name "*.md" 2>&1 | head -50; echo "=== total files"; find /mnt/vault -type f 2>&1 | wc -l; echo "=== total md"; find /mnt/vault -type f -name "*.md" 2>&1…` 17. **bash** `ls "/mnt/vault/Native HQ/Directory" | head -50; echo "==="; ls "/mnt/vault/Native HQ/Directory" | wc -l` 18. **bash** `for f in "/mnt/vault/Native HQ/Control Centre/Control Centre goals.md" "/mnt/vault/Native HQ/System/Schema/Schema.md" "/mnt/vault/Native HQ/System/Migration/Migration.md" "/mnt/vau…` 19. **bash** `find /mnt/vault -name "*record_mentions projection and retire*" 2>&1; echo "==="; grep -rln "archived" /mnt/vault 2>&1 | wc -l` 20. **bash** `ls -la /mnt/vault/Messages | head; echo "count"; ls /mnt/vault/Messages | wc -l; echo "==="; find /mnt/vault -maxdepth 2 -type d 2>&1 | head -50` 21. **bash** `grep -r "" "/mnt/vault/Messages/Product backlog.md"` 22. **bash** `find "/mnt/vault/Native HQ/Work/Product/Product Operations/Product backlog" -maxdepth 1 -type f 2>&1 | head -40; echo "count"; find "/mnt/vault/Native HQ/Work/Product/Product Opera…` 23. **bash** `find "/mnt/vault/Native HQ/Work/Product/Product Operations/Product backlog" -maxdepth 1 -type f -size -1k 2>&1 | head -20` 24. **bash** `find "/mnt/vault/Native HQ/Work/Product/Product Operations/Product backlog" -maxdepth 1 -type f -printf "%s %p\n" 2>&1 | sort -n | head -10` 25. **bash** `for f in "Product backlog — open tasks.md" "Backlog board (MDX v2 readiness probe).md" "Product backlog — open tasks for area overview (max 500).md" "Completion evidence — PR 489 a…` 26. **bash** `for f in "/mnt/vault/Native HQ/Agent instructions/Workspace agent instructions.md" "/mnt/vault/Native HQ/Unfiled/Spec — Markdown folder projection v1, built into the node_ an Obsid…` 27. **bash** `od -c "/mnt/vault/Native HQ/Work/Product/Product Operations/Product backlog/Completion evidence — PR 489 and staging acceptance.md"` 28. **bash** `ls -la /mnt; echo "==="; find /mnt -maxdepth 2 2>&1 | head -50` 29. **bash** `echo "kind:"; grep -rn "kind:" /mnt/vault 2>&1 | wc -l; echo "lifecycle:"; grep -rn "lifecycle:" /mnt/vault 2>&1 | wc -l; echo "type:"; grep -rn "type:" /mnt/vault 2>&1 | wc -l; ec…` 30. **bash** `grep -rn "kind:" /mnt/vault 2>&1 | head -30` 31. **bash** `grep -rn "lifecycle:" /mnt/vault 2>&1 | awk -F: '$2<6' | head -30` 32. **bash** `find /mnt/vault -name ".*" 2>&1 | head; echo "==="; ls -la /mnt/vault/Native HQ/Work 2>&1` 33. **bash** `grep -n "" "/mnt/vault/Native HQ/Work/Product/Product Operations/Product backlog/Align dashboard blocked projection with terminality-aware dependency satisfaction.md" | head -60` 34. **bash** `grep -n "" "/mnt/vault/Native HQ/Directory/Aaron Levie.md" | head -40` 35. **bash** `ls -la /work 2>&1; echo "=== xdg"; ls -la /xdg 2>&1; echo "=== tmp/opencode"; ls -la /tmp/opencode 2>&1; echo "=== find db-like"; find / -maxdepth 4 \( -name "*.sqlite" -o -name "*…` 36. **bash** `grep -rln "^type:" /mnt/vault 2>&1; echo "==="; grep -rn "^id:\|^ref:\|^url:\|^summary:\|^maturity:\|^superseded:" /mnt/vault 2>&1 | head -30` 37. **bash** `find /mnt/vault -iname "*epic*" 2>&1 | head -40; echo "count"; find /mnt/vault -iname "*epic*" 2>&1 | wc -l` 38. **bash** `grep -n "" "/mnt/vault/Native HQ/Work/Product/Product Operations/Product backlog/Epic — live co-editing of record bodies for any app (session.body.v1).md" | head -80` 39. **bash** `grep -n "" "/mnt/vault/Native HQ/Unfiled/Backlog priority meta — age, epic, priority for open tasks.md" | head -80; echo "lines:"; grep -c "" "/mnt/vault/Native HQ/Unfiled/Backlog …` 40. **bash** `grep -rlc "WorkItem" /mnt/vault 2>&1 | sort -t: -k2 -nr | head -20` 41. **bash** `grep -rn "lifecycle: open\|lifecycle: in progress\|lifecycle: blocked\|lifecycle: completed\|lifecycle: closed\|lifecycle: \"" /mnt/vault 2>&1 | head -40` 42. **bash** `grep -rn "^\*\*Status\*\*\|^Status:\|^\*\*Lifecycle\*\*\|^\*\*Kind\*\*\|^Kind:\|^Type:" /mnt/vault 2>&1 | head -30; echo "==="; grep -rln "part_of:" /mnt/vault 2>&1 | wc -l` 43. **bash** `ls "/mnt/vault/Native HQ/Unfiled" | head -5; echo "==="; f=$(ls "/mnt/vault/Native HQ/Unfiled"/*.md | head -1); echo "$f"; od -c "$f" | head -20` 44. **bash** `grep -n "" "/mnt/vault/Native HQ/Control Centre/Control Centre state.md" | head -120` 45. **bash** `grep -r "" "/mnt/vault/Native HQ/Work/Product/Product Operations/Product backlog/Promotion PR _492 — environment-policy blocker.md"` 46. **bash** `find /mnt/vault -type f -printf "%s %p\n" 2>&1 | sort -nr | head -30` 47. **bash** `grep -rn "^---$" /mnt/vault 2>&1 | wc -l; echo "files with ---:"; grep -rl "^---$" /mnt/vault 2>&1 | wc -l; echo "sample:"; grep -rl "^---$" /mnt/vault 2>&1 | head -5` 48. **bash** `ls -la /mnt/vault/.git 2>&1; find /mnt/vault -maxdepth 3 -name ".native" -o -maxdepth 3 -name "STATUS.md" 2>&1; echo "==="; ls -la /mnt/vault` 49. **bash** `grep -rn '"kind":"epic"\|"kind": "epic"\|"kind":"task"\|"kind": "task"' /mnt/vault 2>&1 | head -20` 50. **bash** `grep -rln '"type": *"WorkItem"\|"type":"WorkItem"' /mnt/vault 2>&1 | head; echo "=== part_of + lifecycle same file"; grep -rl "part_of" /mnt/vault 2>&1 | while read f; do if grep -…` 51. **bash** `grep -n "" "/mnt/vault/Messages/Unfiled.md" | head -60` 52. **bash** `grep -rn "^- lifecycle\|^- kind\|^- type\|^- maturity\|^- superse" /mnt/vault 2>&1 | head -20; echo "=== count of link lines"; grep -rn "^- " /mnt/vault 2>&1 | wc -l` 53. **bash** `grep -rn "^- [a-z_]*: \[\[" /mnt/vault 2>&1 | sed -E 's/.*- ([a-z_]+): \[\[.*/\1/' | sort | uniq -c | sort -nr | head -40` 54. **bash** `find /mnt/vault -iname "*board*" -o -iname "*index*" -o -iname "*ledger*" -o -iname "*register*" 2>&1 | head -40` 55. **bash** `grep -n "" "/mnt/vault/Native HQ/Unfiled/Priority board — Now _ Next _ Later _ Unranked (fresh).md" | head -80` 56. **bash** `grep -n "" "/mnt/vault/Native HQ/Unfiled/Temporary index — Neill's native-ce records, last 7 days (built 28 Aug 2026).md" | head -60` 57. **bash** `find "/mnt/vault/Native HQ/Work" -maxdepth 2 -type d 2>&1 | head -60` 58. **bash** `od -c "/mnt/vault/Native HQ/Work/Product/Product Operations/Product backlog/Align dashboard blocked projection with terminality-aware dependency satisfaction.md" | tail -20` 59. **bash** `grep -rn "^- part_of: \[\[" /mnt/vault 2>&1 | head; echo "count"; grep -rn "^- part_of: \[\[" /mnt/vault 2>&1 | wc -l; echo "=== all relationship prefixes with wikilinks"; grep -rh…` 60. **bash** `ls -la "/mnt/vault/Native HQ/Work/Product/Goal-to-task board — design exploration"; echo "==="; ls "/mnt/vault/Native HQ/Work/Product/Product Operations" | head -80` 61. **bash** `grep -rniE "active tasks? (directly )?under|tasks? under (the )?epic|epic[^.]{0,40}active tasks" /mnt/vault 2>&1 | head -30` 62. **bash** `grep -rn '"lifecycle"' /mnt/vault 2>&1 | head -20; echo "count"; grep -rn '"lifecycle"' /mnt/vault 2>&1 | wc -l` 63. **bash** `grep -rnE "^\[?(type|kind|lifecycle|maturity)::" /mnt/vault 2>&1 | head -20; echo "=== inline bracket fields"; grep -rnE "\[(type|kind|lifecycle)::" /mnt/vault 2>&1 | head -10` 64. **bash** `grep -n "" "/mnt/vault/Native HQ/Work/Product/Product Operations/Product backlog/Measure real-backend messaging tab-entry and cold stream-open performance.md" 2>&1 | head -40; echo…` 65. **bash** `grep -rn "^- part_of:" /mnt/vault 2>&1 | sed -E 's/^.*- part_of: //' | sed -E 's/ \(archived;.*//' | sort | uniq -c | sort -nr | head -40` 66. **bash** `grep -rhoE "^- [a-zA-Z_]+:" /mnt/vault 2>&1 | sort | uniq -c | sort -nr | head -40` 67. **bash** `grep -rln "^- relates_to:" /mnt/vault 2>&1 | head -5; echo "==="; f=$(grep -rln "^- relates_to:" /mnt/vault 2>&1 | head -1); echo "$f"; grep -n "" "$f" | tail -20` 68. **bash** `grep -rln "b0ac9e23" /mnt/vault 2>&1 | head; echo "==="; grep -rn "b0ac9e23" /mnt/vault 2>&1 | head` 69. **bash** `find /mnt/vault -iname "*backlog*" 2>&1 | head -40; echo "count"; find /mnt/vault -iname "*backlog*" 2>&1 | wc -l` 70. **bash** `for f in "Backlog board.md" "Backlog board (MDX v2 readiness probe).md" "Product backlog — agent routing board.md"; do echo "##### $f"; grep -n "" "/mnt/vault/Native HQ/Work/Produc…` 71. **bash** `find /mnt/vault -iname "START HERE*" 2>&1` 72. **bash** `grep -n "" "/mnt/vault/Native HQ/Work/Product/Product Operations/Product backlog/START HERE — the run report_ what is settled, what is being built, what is open.md" | head -120` 73. **bash** `for f in "Epic — a per-workspace materialised index in the hosted process, filtered per principal, served as one sequence-stamped read.md" "Epic — alpha HTML artifacts behave like …` 74. **bash** `grep -rn "