Frameworks for the work that has to hold up.
Use these practical guides to pressure-test an operating model, AI decision path, production release, or critical automation before the weakness becomes expensive.
The Multi-Role System Blueprint
Map roles, decisions, handoffs, boundaries, exceptions, proof, and automation before funding more screens.
Open the guide → AI evidenceThe AI Claim-Proof Protocol
Turn citations from decoration into a testable evidence contract for important AI-generated claims.
Open the guide → AI decisionsThe AI Rejection Audit
Inspect the decisions automation hides and turn structured disagreement into a measurable review loop.
Open the guide → Workflow reliabilityThe Silent Success Audit
Trace a workflow from accepted request to a visible, recoverable outcome for the person waiting.
Open the guide → Automation safetyThe Retry-Safe Automation Playbook
Give one business intent a stable identity so retries do not duplicate an expensive action.
Open the guide → Release proofThe Shipped-or-Not Release Audit
Demand evidence that work is tracked, reproducible, deployed, reachable, usable, and reversible.
Open the guide → AI securityThe Public AI Feature Threat Model
Review the browser, server, model, renderer, data, cost, and recovery boundaries before public traffic.
Open the guide → Data integrityThe Active Workspace Integrity Audit
Keep reads, writes, billing, automation, and cached state bound to the workspace the user can see.
Open the guide →