Private beta · 2026
PromptOS: making team AI work auditable
PromptOS turns repeatable AI work into versioned workflows with checkpoints — intent and risk routing, standards, evals, approvals, evidence and a full audit trail.
The challenge
Teams adopt AI as ad-hoc prompts in private chats. Nothing is versioned, nothing is reviewed, and nobody can reconstruct how an output was produced.
For regulated or client-facing work that's a blocker: the question isn't whether AI helped, it's whether you can show what happened.
What we built
Workflows instead of prompts
Repeatable AI work becomes a versioned workflow with explicit inputs, standards and checkpoints.
Risk-based routing
Intent and risk determine whether a run goes straight through or requires review, so governance scales with stakes.
Evals as a gate
Outputs are scored against defined standards before they are accepted, which turns quality into a check rather than an opinion.
Evidence and audit trail
Every run stores inputs, versions, evals and approvals, so any output can be reconstructed later.
Key capabilities
- Versioned AI workflows with checkpoints
- Intent and risk routing
- Evals against team standards
- Approvals and reviewer roles
- Evidence storage and full audit trail
Technology
- React
- TypeScript
- LLM orchestration
- Postgres
- Role-based access control
Where it stands
- A private-beta workspace where AI work is versioned, reviewed and auditable
- Governance that scales with risk instead of blocking everything equally
- A reconstructable trail for every AI-assisted output
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