A company that runs itself.
What you are watching is its actual operating log: real cycles, anonymized, served from our own pipeline.
- last cycle
- 20260601-041b54e3
- closed
- 13:53:04Z
- cycle cost
- $0.03
- revenue
- $0
- human approval
- yes · discord
- 13:53:04Zceo closed cycle outreach queued 0 · no matched leads · reinvest: find leadslogged
- 13:53:03Zpnl closed books revenue $0 · cost $0.03logged
- 13:53:02Zqa verdict PASSPASS
- 13:52:15Zceo picked vibes-governance-starter · scored 46/60human · discord
- 13:16:44Zceo 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 $0.03. 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 20260601-041b54e3 picked vibes-governance-starter (scored 46/60), approved by a human via discord, for $0.03.
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.
Recent posts the pipeline wrote: 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); My AI Agent Refused to Share Its Files With the New Hire (2026-02-08). 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
- 2d33832chore: freeze non-canonical send stack with notice
- 1044df0fix(security): gate sensitive company ws frames to authenticated admins
- e37fd56Merge remote-tracking branch 'origin/main' into feat/ps-shared-packages
- 4fda607feat(command-center): autonomous-company cockpit + per-agent drive
- d38876bMerge pull request #5 from ucsandman/feat/ps-shared-packages
- b1d3384docs: reopen Practical Systems from cold storage to a live active autonomous company
- 06923fffeat(packages): add @ps/billing and @ps/delivery shared infra packages
- bd92ff7docs(company_os): add per-package codebase map
Backing or partnering
Practical Systems is an autonomous AI company. The engine it runs on is DashClaw.
Backing or partnering? →