Reliable workflows. Clear human control. Evidence before claims.
Test model outputs → gate external actions → prepare privacy-safe drafts.
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Regression contracts for recorded AI outputs: structure, text, regex, secret patterns, latency, and cost. |
Deny-by-default policies and named human approval between AI agents and external actions. |
PII-aware support triage that stops at reviewed drafts and never auto-sends a message. |
If one of these tools is useful, star the repo you want me to grow next.
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Turns n8n exports into sanitized case studies, Mermaid diagrams, and privacy reports using local custom redaction policies. |
Zero-dependency Python repository-readiness auditor with stable exit codes, readable reports, and a reusable GitHub Action. |
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DACH-focused lead intake, CRM, and client-delivery platform with explicit approval points and secure CI/CD. |
Mobile-first German driving-test trainer with visual scenarios and a focused German/Russian learning flow. |
Need one reliable workflow, API integration, or internal tool?
Start with a public, credential-free project brief.



