Good. Now I have a clear picture of what's already in the database. I've identified the following new, unique, well-defined use cases from today's Reddit feeds that don't overlap with existing entries:
- Silent Failure Detection via Typed Tool Outcome Contracts - agents that "succeed" but are confidently wrong
- Biologically-Inspired Offline Memory Consolidation (Sleep Architecture) for AI Agents - wake/sleep cycles for agent memory
- Living Preference File for Persistent Agent Coherence - solving preference drift across sessions
- Secret Placeholder Proxy for AI Agent Credential Security - keeping API keys out of model context
- Cross-Role Observability Pipeline for Production AI Agent QA - QA without losing your mind
- Context-Layered Buying Intent Classification Agent - real-time intent scoring with multi-signal context
- Multilingual Document Workflow with Classification-First Extraction - better context, not just better OCR
- Discoverable Agent-to-Agent (A2A) Service Registry - agents discovering and talking to other agents
- Sandbox-Isolated Per-Agent Credential Sidecar - k8s sidecar pattern for agent security
- CodeAct-Based Async Task Automation Agent - replacing ReAct with code execution for real workflows
Let me now create all these entries in Notion: