MINDBURN LABS
Request Company AI OS ReviewSolutions / Operations
Run Night Shift with receipts as source truth.
Operations teams can compare the plan with real work, classify gaps, create reviewed specs, run low-risk allowlisted work, and close loops with evidence.
Audience
COO, operating system, program, customer operations, and founder-ops teams.
- Company AI OS operations
- should-vs-is detection
- wrong work detection
- GeneratedSpecs
Objection
Queryable is not executable.
A model can read every meeting and ticket and still be wrong about what should happen.
Workflow
Wrong-work detection to reviewed spec workflow
Roadmap, ticket, and customer-call evidence disagree about what the team promised to close.
Operationsaction boundary
| Stage | Boundary detail |
|---|---|
| Compare | HELM compares should sources with actual work and labels the gap. |
| Draft | A GeneratedSpec names sources, owner, acceptance criteria, approval, and proof needs. |
| Approve | A reviewer decides whether the draft should become executable work. |
| Close | Approved follow-up crosses HELM and returns receipt-backed closure evidence and a morning-summary reference. |
Proof artifact
Operations proof path
Operations mechanism demo
AI proposes workflow work. HELM decides whether it may run. The receipt makes the decision checkable later.
ESCALATET2 / pending review
ProposeDecideReceipt
Deploy workflow
ESCALATE · prod_deploy.v2 · rcpt-demo-26fae4c3Tamper detectable: changing the verdict produces a different receipt.
FAQ
Operations FAQ
Is wrong-work detection execution authority?
No. Detection creates proposals and review work. Side effects still require HELM boundary approval and receipts.
Next step
Move from reading to review.
Use public HELM AI Kernel for developer evaluation. Use reviewed access for company architecture review.