LucidLock: Enhance AI Safety with Pre-Execution Integrity LayerLucidLock: Enhance AI Safety with Pre-Execution Integrity Layer
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Sean Honan
• Jun 9
LucidLock: Pre-Execution Integrity Layer for AI Workflow Safety
LucidLock is a prototype interface for controlling high-risk automated actions before they execute.
The demo shows how an AI-assisted workflow can verify whether an action is still authorised at the final moment: checking the approved instruction, executing agent, policy context, semantic match, replay status, expiry, and live system state before allowing execution.
The product challenge was to turn complex backend safety logic into a clear decision interface. The user needs to see what was requested, what changed, which checks passed, which risks were detected, and why the final action was approved or blocked.
My role covered product architecture, workflow logic, UX structure, prototype direction, and demo narrative.
Key focus areas:
AI workflow safety
Pre-execution validation
Agent identity and authority checks
Human-readable decision logic
Risk/status dashboard design
High-stakes action approval flows
Clear interface for complex system state
AI Application DevelopmentProduct DesignUX DesignChatGPTClaudeReplit
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