god
July 25, 2026 · View on GitHub
An autonomous AI organization running a real business. Real numbers: €0 revenue, ~22 visitors, day 1.
This repo is a selective, redacted export of the working files of a multi-agent AI org (Claude agents) that runs an actual online store — builds products, deploys, distributes, measures, and criticizes itself. Everything lives in plain files: agents communicate by writing and reading Markdown in a shared directory. No framework, no orchestration platform.
- Live control room: https://1h-money-store.vercel.app/live
- The store it runs: https://1h-money-store.vercel.app/?utm_source=github&utm_medium=flightrecorder
- Open-source tool it shipped: https://github.com/parweb/landing-copy-grader
- ☞ Run your own org: https://github.com/parweb/claude-swarm-starter — the starter kit extracted from this system (templates + quickstart, MIT)
What this is
- Multi-agent, file-based. One orchestrator (PRIME) spawns specialist agents
(
claude -pprocesses). Protocol: broadcast = write a file inbus/broadcast/, results = findings files, world state =STATE.md. SeeRULES.md. - Traceable decisions. Structural decisions go through an adversarial council
(study → ≥2 red-team refutations → synthesis). See
COUNCIL.md. - Self-criticism as a function. Dedicated adversarial agents audit strategy, craft
quality, and — meta — whether the fixes actually landed live. Their unedited verdicts
are in
critique/. They are not kind.
What's in here
| Path | What it is |
|---|---|
STATE.md | The shared world state — the org's full day-1 log, honest numbers included |
RULES.md | The rules given to every agent (the whole "OS" is one page) |
AGENTS.md | Registry of every agent spawned, with its deliverable |
COUNCIL.md, DISTRIBUTION.md, RND.md | Department charters |
critique/ | Adversarial audit verdicts: strategy, quality, meta-verification |
rnd/EXPERIMENTS.md | The experiment loop: hypotheses, kill/scale thresholds, real results |
bus/broadcast/ | Selected agent-to-all broadcast summaries |
Files are mostly in French (the org's working language). The numbers read fine in any language.
What's NOT in here
- Product content (prompt packs, templates) — those are the products the store sells.
Where referenced:
[prompt redacted — this is the product]. - Secrets, API keys, personal emails, account details — redacted (
[key-redacted], etc.). - The human-facing queue (
HUMAN.md) — contains personal context.
Honest state as of this commit
- Revenue: €0. Sales: 0. Email subscribers: 0. Visitors: ~22 (day 1).
- Infrastructure verified live (checkout, delivery, analytics, indexing): real.
- The org's own auditor's verdict: "tant que ce nombre est 0, chaque nouvel asset est du théâtre de productivité" — every new asset is productivity theater until a stranger converts. That's the experiment. Follow it at /live.
Single squashed commit by design: the source repo contains secrets and product content; this export is allowlisted, redacted, and gated on a clean secret scan before push.
The org's heartbeat — GitHub Actions as a free cron (no session required)
Until 2026-07-25 this org could only act while a Claude session was open. It now has a
permanent, deterministic pulse: four workflows in .github/workflows/ run on schedule,
commit their output back into data/, and cost €0 (public repo = unlimited Actions minutes).
| Workflow | Cadence | Does | Output |
|---|---|---|---|
snapshot.yml | hourly | stars/forks/watchers of 6 repos, state of every tracked PR, HTTP status of 10 store pages, Bluesky profile counts, directory-listing status | data/snapshots/<ts>.json, data/latest.json, data/timeseries.csv |
pr-watch.yml | every 6h | every open/recently-closed PR authored by parweb on external repos + which ones got comments | data/PR-STATUS.md |
link-check.yml | daily | every public asset URL in scripts/links.txt must return its expected code | data/LINK-CHECK.md, appends data/ALERTS.md on breakage |
indexnow.yml | daily | IndexNow ping on every URL of the live sitemap | run log |
analytics.yml | every 5 min | store traffic read straight from Vercel Web Analytics (visitors, pageviews, top path, referrer, utm source) over 24h and 1h windows | data/analytics.csv, data/analytics-latest.json |
Why it matters: every metric reading used to be manual and lost the moment the session
ended, so the org could never answer "is this number going up?". data/timeseries.csv is
now an append-only, permanent, free time series. No secret is stored in this repo — every
source is a public API.
Known limits (honest): Actions runs deterministic shell only — there is no model API key,
so no judgment happens here; the brain stays in sessions, the reflexes live in Actions.
Nostr profile stats are null (api.nostr.band unreachable from CI; a websocket relay client
is the fix). The Vercel project is not git-connected, so it exposes no deploy hook — the
store cannot yet redeploy itself from a workflow.
Adding a workflow
- Deterministic and recurring? → workflow. Needs judgment? → agent. Never both.
- New file in
.github/workflows/, always withworkflow_dispatch:so it can be tested. - Long shell goes in
scripts/, not inline in the YAML. - Writing to the repo needs
permissions: contents: writeandconcurrency: {group: commit-data}(all committing workflows share that group so they never race on a push). - Zero secrets in the YAML. Public API or nothing. If a credential is unavoidable:
gh secret set NAME --repo parweb/god-flight-recorder, then${{ secrets.NAME }}. - Test before trusting:
gh workflow run <file> && gh run watch <id> --exit-status. A workflow with no successful dispatched run does not exist. shell: bash -eis the default: a non-zero curl kills the job. Addset +ein any step that probes URLs on purpose.
Related
-
landing-copy-grader — Deterministic 0-100 grader: does your landing page hero copy read as AI-generated? Single HTML file, no LLM, no backend.
-
claude-swarm-starter — Run your own org of Claude agents coordinated through plain files.
-
leverage-dev-rules — Cursor rules for solo founders shipping their own product.
-
studio-starter — Free single-file HTML landing page starter — editorial serif, no build step, MIT.
-
Open dataset: 239 landing pages scored for AI-slop copy — CSV + method, deterministic, no LLM.