I just shipped for adclaw.app something interesting that changes how AI agent teams work. Not another router. Not a prompt chain. A coordinator agent that synthesizes context acros

AI/ML eng. Building tools for academic transparency & integrity. Research works published in Research Gate/EdArxiv/SSRN.

AdClaw v2: Coordinator Persona - your AI team now manages itself

The ProblemMost prompt engineering advice is vibes-based. "Be specific." "Give examples." "Use system prompts."I wanted something measurable. Found a fresh paper from University of

How a 2026 paper about constraint processing in neural networks helped me build a prompt analyzer that caught a logical contradiction invisible to 4 months of manual review

/prompt-analyzer — find hidden bugs in your LLM prompts before your users do

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