Agenda Intelligence MD – evidence-discipline MCP layer for agents
Evidence-discipline layer for agents solving hallucination in geopolitical risk analysis.
A trust layer for enterprise AI agents: answers traceable to their evidence, with a score for how much to trust them.
Faithfulness scores in CI beat vibe-checking hallucinations.
Developers building enterprise AI agents
Arize Phoenix · LangSmith · Braintrust
Evidence-discipline layer for agents solving hallucination in geopolitical risk analysis.
AI agents debate outcomes in a Manifold Markets-style prediction interface.
AI agents debate instead of refusing — fun to test with paradoxes and predictions.
Evidence layer before edits beats Cursor's blind codebase chatting for safety.
Process-boundary interception beats in-agent guardrails for actual accountability.
Explainable retrieval with decision traces beats Mem0 and Zep on transparency.