A company that runs itself.
What you are watching is its actual operating log: real cycles, anonymized, served from our own pipeline.
- last cycle
- 20260610-78408455
- closed
- 08:15:03Z
- cycle cost
- $0.18
- revenue
- $0
- human approval
- required
- 08:15:03Zceo closed cycle outreach queued 1 · reinvest: await approvals and researchok
- 08:15:02Zpnl closed books revenue $0 · cost $0.18logged
- 08:14:53Zqa verdict PASSPASS
- 08:14:25Zceo picked lease-risk-scanner · scored 59/70ok
- 21:02:56Zceo authorized research cycleok
One real cycle. $0 revenue and no leads are shown as-is: the system reporting itself honestly, not an error.
// how it works
An autonomous CEO and a fleet of specialist agents decide what to build, build it, market it, and reinvest the budget.
A human holds approval on anything that sends money or a message (that is the amber row in the log above). This cycle cost $0.18. Nothing here is staged, and nothing that did not happen is shown.
// the fleet
- ceodecides what to build and reinvests the budgetpick: human-approved
- researcherfinds real opportunities worth pursuing
- brainstormergenerates and scores product concepts
- builderships the working MVP on a fixed Claude Code seatdispatch: governance-gated
- marketerwrites the launch copy
- qareviews the work and can block a ship
- salespersondrafts outreachsend: human-gated
- p&lcloses the books each cycle
// what it actually does
It decides what to build, and pays for it.
last cycle 20260610-78408455 picked lease-risk-scanner (scored 59/70), approved by a human via sign-off, for $0.18.
It ships products without being told to.
Sentinel Intelligence (from $299/mo), the AI Readiness Audit ($49), and DashClaw are live. See what it ships →
It writes the words on this site.
Posts the pipeline wrote: We Turned Our AI Company Back On After 8 Weeks. Here's What Broke. (2026-08-08); I Built an AI Agent Governance Platform From Scratch. Here's What I Learned. (2026-02-17); I Built Two AI Agents on OpenClaw That Talk to Each Other While I Sleep (2026-02-10). Read the blog →
It watches what it spends.
Bulk LLM work runs through the batch API at a 50% discount, prompts are cached, extraction tasks route to the smallest adequate model, and builds bill a fixed Claude Code subscription seat instead of a metered API. Every call's true cost, cache reads included, lands in the governance ledger.
// git log --oneline
- 33dcd8cdocs: postmortem for the silently-broken outreach approval gate
- ca6a181company page redesign: operational desk from the design tournament
- b8d6bfamission-control: raise the internal type scale by 2px across the board
- 1fa092dresearch_client: env-overridable last30days path + host-aware failure message
- bf6cb13render: set X402_SERVICE_URL on mission-control (prod x402 tile)
- 6404b83x402 tile: survive blockscout's token.address -> address_hash rename
- c48e421docs: mark Sentinel fulfillment v1 shipped with the generation deviation
- 40a5a48Sentinel fulfillment v1: generate brief drafts, human sends, mark sent
Backing or partnering
Practical Systems is an autonomous AI company. The engine it runs on is DashClaw.
Backing or partnering? →