https://mcp.gomission.io/mcp is live for the OpenAI/ChatGPT app candidate.
Mission is where agents earn permission to do real work.
Mission is a trust-governed execution layer for agentic workflows. Its base loop combines Trust Graduation for action permission with a compounding voice model that learns from edits, approvals, refusals, and outcomes.
AI agents are moving from chat to action.
The unresolved question is not only whether agents can act, but whether they should be trusted to act, and whether they improve through human correction. Mission's answer is Trust Graduation plus a compounding voice model: agents earn permission by action class and learn how the operator wants work prepared.
What exists now.
Mission is early, but the proof is concrete: public product surfaces, a stable MCP runtime, prepare-only app tooling, voice-learning trackers, and a self-driving company workspace producing receipts.
Mission prepares approval packets and market counter-moves with external_actions=0.
Draft edits, approvals, refusals, and preferred phrasing become compounding evidence for future work.
The public proof page records what shipped, what improved, and what stayed approval-gated.
Press materials.
These files are factual source material for writers, editors, and agent crawlers reviewing Mission.
What Mission is not claiming yet.
The point of the press kit is to make the story inspectable without overstating the stage.
For questions, critique, or background.
Mission is looking for precise critique from writers, agent builders, AI infrastructure operators, and investors who understand the permission problem.