AI work orders · private beta
AI work orders: turn agent output into scoped, approveable work
An AI work order gives every agent task an owner, allowed scope, forbidden actions, acceptance criteria, required evidence, and an approval boundary—so founders can continue the job without rereading a chat.
Private beta. No autonomous publishing or production mutation without approval.
Product-true proof
A work order is narrower than a prompt
It binds the requested outcome to evidence, authority, acceptance checks, and side-effect limits before execution is credited. Missing proof stays missing—no autonomous publish or production mutation without approval.
- Owner
- Who is responsible for the next action
- Scope
- Exact files, systems, and decisions included
- Acceptance
- Observable checks required for completion
- Forbidden
- Publish, send, spend, or unrelated mutation unless approved
Mission handoff
From problem to next safe action
- 01
Bound the mission
Name one decision, the evidence available, the owner, and actions that remain forbidden.
- 02
Return the artifact
Produce the route-specific brief, work orders, gates, and honest evidence gaps—not a transcript.
- 03
Expose the boundary
Show what ran, what did not run, what needs approval, and the next safe action.
- 04
Keep design claims honest
Page repair, design-system checks, and landing briefs need DOM and screenshot evidence before any design-compliant claim.
30-day evidence ceiling
This page must earn its place.
Merge into the operating-system page if testers treat “AI work orders” as prompt templates rather than an execution-control job.
Contamination boundary: customer-product capabilities may appear only as labeled case-study evidence, never as Launchfiles features.
Private beta
Bring one founder mission.
Leave with a useful artifact, evidence, an approval boundary, and the next safe action.