OS-Intelligence v0.1
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v0.1 - soft-launched May 2026

Using Claude Code?
Not getting the 10× AI PMs on LinkedIn keep posting about?

Let's fix that.

It's not the tool. It's the context you're feeding it.
OS-Intelligence is how you fix the context.

Built by Simon Conway · AI-native PM · Barcelona
The premise

What if you could…

Walk into every 1:1 already knowing where you left off.

Last time, Maya pushed back on the Q3 roadmap. You said you'd come back with the stakeholder map. She's waiting.

Your Claude Code surfaces it before she sits down - what she said, what's stuck, what she's waiting on you for.

Two minutes, not twenty.

Pick up a stalled project like you closed it yesterday.

Six weeks since you touched it. And you can't remember the details. Three decisions happened in between.

Your Claude Code rebuilds the picture in a paragraph - the position, the in-flight work, the reasoning behind every call since.

You're back in the project before your coffee's cool.

See what no single meeting reveals.

Three meetings this week. Two stakeholders flipped positions. One open question still nobody's answered.

Your Claude Code reads across every meeting, chat, and decision - surfaces the contradictions, the shifts, the unresolved.

Tells you what the project is saying, not what any one conversation said.

OS-Intelligence is a reasoning layer for AI-native PMs. It captures your meetings, PRDs, stakeholder notes, and chats, synthesises them into reference state, and surfaces the right context at the start of every session. Your stated goal becomes the lens. Every claim traces back to source.

Setup

Get started in about 20 minutes.

  1. 1
    Clone the repo
    One-line install. The whole system lives in your project.
  2. 2
    Run /os-welcome
    Guided walkthrough. From install to first synthesis on your real work in 20 minutes.
Who this is for

Built for senior PMs already living in Claude Code.

Product managers

ICs and leads who ship daily.

Meetings, PRDs, decisions, chats, open questions - captured from everyone who contributed, surfaced when you need them, ready for your AI to reason against.

Mid-build PMs

You've already started building your own context system.

Four of six pilot users were PMs mid-build of something similar themselves. If that's you, this is the working version of what you were going to build.

Open source · free forever

Get a working context system in about 20 minutes.

Install today. First synthesis on real PM work in one sitting.

What you get

  • The full system, free, forever
  • From clone to first synthesis in about 20 minutes, via /os-welcome
  • After 1 week, real lifting. After 4 weeks, you won't work without it.
  • Designed to be shaped by the PMs who use it

We're building this in the open, together.

Get started
The proof

Here's the trail. Here's what you can ask it.

A real current-state.md
- the project's live context, ready when you start.

current-state.md project / atlas
# Atlas - current state
updated 2026-04-22 · 14 sessions

## Project Position
Q3 roadmap is contested. Tom (eng) wants to defer
"agentic flows" until v2; Maya (design) wants them
in v1 to test the core hypothesis. Decision pending.

## Stakeholder Dynamics
- Maya Chen (design lead) - pushed back Apr 14.
  Wants stakeholder map before next sync.
- Tom Reilly (eng lead) - flipped Apr 18.
  Now open to v1 if scoped to one surface.

## Standing Decisions
- Ship v1 to internal users only (Apr 09)
- Defer mobile until v1 lands (Apr 11)

## In Flight
- Stakeholder map for Maya - owed
- Cost estimate for agentic v1 - w/ Tom

## Open Questions
- Are we measuring activation or retention?
- Who owns the v1 / v2 cut decision?

Claude reasoning against it
- every answer traced to source.

claude-code · session reasoning
 What is Tom's objection?

Tom's objection isn't to agentic flows in principle -
it's to scope and timing. As of Apr 18
he flipped: he'll accept v1 if it's bounded to one
surface.

The unresolved piece is cost. He's
working on an estimate for the scoped version; until
that lands, he can't commit.

There's also a second-order objection:
he wants the v1 / v2 cut decision owned by someone -
currently it isn't, and that's blocking Maya's
stakeholder map.

If you want him on board this week, the move is to
surface the ownership question before the cost
estimate, not after.

sources · standing-decisions.md · session-2026-04-18.md · open-questions.md
↳ drill into the Apr 18 session?
Field reports

What pilots are saying.

First cohort installed May 2026. More real-user quotes landing this week.

"
This is Claude on rails. This provides the reason to chat to Claude, similar to how there should be a reason to set up a meeting.
Edwin Groenendaal · CTO · v0.1 pilot
"
Pilot quote, landing soon.
Pilot 02 · v0.1 cohort
"
Pilot quote, landing soon.
Pilot 03 · v0.1 cohort
For the curious

Under the hood.

For the dev-fluent reader who scrolls. The boring, important parts.

Parallel sub-agent fan-out

Synthesis splits across specialised sub-agents and reconverges, so a 2-hour transcript doesn't block a 30-second answer.

Sonnet / Opus model routing

Routine reads go to Sonnet; structural reasoning escalates to Opus. You don't pay Opus prices for a name lookup.

Append-only reasoning trail

Every decision is a new entry, never a rewrite. Your past selves stay legible - diffs over time, not overwrites.

Schema-aware permission migration

When the schema evolves, your existing trail migrates forward - no re-ingest, no losing what you already wrote.

Local activity log · zero telemetry

The log is a file in your repo. Nothing leaves your machine unless you push it.

Versioned via git tags + migration scripts

Upgrades are git pulls. Breaking changes ship migration scripts. You stay in control of when, and whether, to move.

Questions

Frequently asked.

Where does my data go? Is any of this leaving my machine?

No. The reasoning trail is a folder in your repo. Synthesis runs locally through your own Claude Code install - same model calls you're already making, no new endpoints, no new accounts.

If you push the repo to GitHub, that's on you and where you push it. OS-Intelligence itself adds zero telemetry.

Why build on Anthropic primitives specifically?

Claude Code is the only environment where a long-horizon reasoning layer can sit next to your work, not in a separate tool. Skills, sub-agents, model routing - the primitives needed already exist. OS-Intelligence is the connective layer.

If those primitives change, OS-Intelligence changes with them. That's a feature, not a risk.

I don't have Claude Code installed. Can I still try this?

Not yet. Claude Code is the substrate OS-Intelligence runs inside - install it first, then come back. /os-welcome takes you from clone to first synthesis in about 20 minutes.

Is this just for PMs already using Claude Code, or can I start from scratch?

It's built for PMs already living in Claude Code - that's the substrate, that's where the reasoning happens. If you don't use Claude Code yet, install it first (10 minutes from claude.com/code), then clone OS-Intelligence and run /os-welcome. The guided walkthrough takes about 20 minutes and lands you with your first synthesis on real work.

How is this different from Granola, Notion AI, or Team OS?

Not a memory layer. Not a retrieval tool. OS-Intelligence is a reasoning layer with structure, traceability, and governance built in.

Granola captures meetings. Notion AI summarises documents. Team OS structures shared team context. OS-Intelligence is the layer underneath: it synthesises your raw material (meetings, PRDs, stakeholder notes, chats) into a reasoning trail your AI reasons against, not a wiki you click through.

Different shape, different layer - they stack rather than replace. If you already use one of those, OS-Intelligence is what makes your AI sessions reason against that captured context instead of starting cold every time.

What does the system look like once it's running - can I see a real example?

Scroll up to the proof section - that's a real current-state.md file (project name and people anonymised), and the second frame is what your Claude Code session looks like reasoning against it.

The full Acme Corp example also ships in the public repo at projects/acme-corp-example/ - clone, browse it, see the structure on synthetic data before you bring your own.

Ready to fix your context?

Get started