Intent → Work
Turn goals into bounded tasks, assign the right worker, route to the right model and preserve the execution context.
AI WORK CONTROL PLANE / PUBLIC PREVIEW
AICP coordinates models, tools and AI workers around real-world outcomes — with governance, evidence, continuity and recovery built in.
AICP is not another model wrapper. It is the coordination layer between human intent and AI execution.
Turn goals into bounded tasks, assign the right worker, route to the right model and preserve the execution context.
Authority, permissions, allowed files and explicit implementation gates keep automation inside its contract.
A worker can stop without making the task disappear. State, checkpoints and artifacts survive interruption.
Failure becomes evidence. Retry, escalation and human decisions are explicit rather than hidden.
Specialized workers can plan, build, review, research and operate tools while AICP remains the authority.
Every meaningful action can carry a compact proof trail: claim, evidence, command and result.
Ask the system about its architecture →CLAIM task completed
EVIDENCE artifact + test result
COMMAND isolated execution
RESULT verified / failed / unknown
● VERIFIED 1331 tests
authority: AICP
publication: gatedThis is the public front door. Your message crosses an HTTPS boundary; the Gemini credential stays server-side.