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Jason Shotwellstarted a discussion
Solo dev, no VC, one mission: make AI compliance scannable before August 2026
Hey PH community. I'm Jason, a solo founder building AIR Blackbox, an open-source CLI that scans Python AI projects for EU AI Act compliance. Quick background: I spent 13+ years as a technical sourcer at Meta and AWS, where I watched companies move fast on AI adoption and slow on governance. When the EU AI Act passed with an August 2, 2026 enforcement deadline, I realized most teams had no idea...
Your AI agents make thousands of calls but can you prove what they said? AIR Blackbox is an open-source reverse proxy that records every LLM call with HMAC-SHA256 chaining. If anyone tampers with a record, the chain breaks instantly.
Unlike observability tools, AIR focuses on provability:
- Cryptographic audit chain for tamper-proof integrity
- EU AI Act compliance (Articles 9-15)
- PII detection and prompt injection scanning
- Shadow AI detection via model registry
pip install air-blackbox
AIR BlackboxTamper-proof audit trails for every AI agent call
Jason Shotwellleft a comment
Hey Product Hunt! 👋 We built AIR Blackbox because we kept seeing the same problem: companies are shipping AI features fast, but nobody can prove what their LLMs actually said. When a regulator, customer, or auditor asks "what did your AI tell that user?", most teams are scrambling through logs that don't exist. AIR Blackbox is a drop-in reverse proxy that sits between your app and any LLM...
AIR BlackboxTamper-proof audit trails for every AI agent call