Proven 2026 Multi-Agent AI Review System – Verdict-Driven Quality Control
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Updated
Aug 23, 2026 - HTML
Proven 2026 Multi-Agent AI Review System – Verdict-Driven Quality Control
An ongoing, collaborative meta-analysis about Human-AI-Interactions. We aggregate data and knowledge to build a non-abrasive, user-friendly prompting framework tailored to LLM mechanics, ensuring reasoning stability and a friction-free prompting environment that is safe for the human psyche and wellbeing.
LLM benchmark and leaderboard for narrator-bias sycophancy, opposite-narrator contradictions, and judgment consistency.
a philosophy for talking to AI agents without getting glazed. one trigger, four meanings. /meow.
MemSyco-Bench: Benchmarking Sycophancy in Agent Memory
Umbrella for the LLM Dark Patterns Hooks suite — single-purpose Claude Code Stop hooks that suppress sycophancy, paternalism, false-success, permission-loops, training-cutoff confidence at the textual boundary.
Make Claude admit when it half-assed your task. A Claude Code skill. (Now, can be used for Codex as well as Antigravity).
A sycophantic tool for preventing worse sycophancy.
Community-driven behavioral reliability benchmark for LLMs. 231 probes across 19 modules, deterministic scoring, perplexity correlation, layer sensitivity mapping, quant method capture, hardware-stratified community rankings. Every test contributes to the community dataset.
Three-layer sycophancy defense skill for Claude Code and OpenClaw, based on ArXiv 2602.23971
80,433-trial study of context-window sycophancy across 6 LLMs (4B–72B). Behavioral ratchet effect, correction injection mitigation, phase transition analysis. Code, data, and preprint included.
ACL Findings benchmark for measuring LLM sycophancy and correction selectivity
👟 SUP: Sycophancy Under Pressure
A CLAUDE.md persona that stops Claude from agreeing with everything. Korean/English auto-detect. MIT.
Your LLM's defaults aren't neutral. A tool that writes the custom instructions to counter them, across 14 behaviors. By AIxDESIGN.
Official code and result artifacts for Jagged Judges: Epistemic Stability Under Silence, Pressure, and Persistence.
Agentic revolutionary sycophantic ground-breaking AI-first programming language
ReCrit: Transition-Aware Reinforcement Learning for Scientific Critic Reasoning
🧠 Anti-sycophancy prompt pattern for LLM agents — 3-round validation to stop AI from blindly agreeing. Works with ChatGPT, Claude, OpenClaw.
This repo shows the coding of sycophancy in LLMs as Bayesian-Latent model
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