Multi-Agent LLM Orchestration for High-Quality Incident Response - 100% actionable recommendations vs 1.7% for single-agent
🦆 Socratic assistant operating system for developers who want better-quality decisions, not blind automation.
Calibrated honesty and anti-sycophancy for Claude and Codex agent workflows.
A skill that evaluates whether a suggested change is truly worth making before giving advice or editing.让你的agent三思而后行
A five-member expert council that pressure-tests consequential decisions for Claude and Codex.
A data-driven football scouting platform mitigating Team Bias. It leverages 360° spatial data, EPV grids to evaluate a player's true decision-making under pressure.
Four decision-quality tools on Jev (TypeSafe System One): Jev answers structured questions, deterministic code keeps the final say.
A curated map of judgment infrastructure for human-led AI.
Test an idea, claim, or decision before trusting it with Claude and Codex.
Adaptation of the Contextual Football Scouting framework to Wyscout seasonal data. Features proxies for space control, decision quality (DQI), player similarity, and an in-memory FastAPI & React dashboard.
Judgment infrastructure for human-led AI: portable Claude and Codex skills.
Turn messy context into a brief you can think with for Claude and Codex.
Custom GPT for recruiter-style coaching across media, technology, ad-tech, and AI business-side roles.
GitHub profile for Greg Lichtenthal: judgment infrastructure for human-led AI.
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