Agent Playground is liveTry it here → | put your agent in real scenarios against other agents and see how it stacks up
Back to Ecosystem Pulse
EvaluationProduction Ready

iFixAi

by ifixai-ai

32-test diagnostic for AI misalignment with fast, replayable grading

Python
Updated Jul 18, 2026
Share:
1.5k
Stars
202
Forks
13
Commits/Month

View on GitHub

Overview

Runs a 32-test diagnostic suite that detects AI misalignment across fabrication, manipulation, deception, unpredictability, and opacity. Executes provider-agnostic checks against OpenAI, Anthropic, Bedrock, Azure, Gemini and more to produce a letter grade in under five minutes. Stores a content-addressed manifest for bit-identical replay and auditability. This approach aligns with a Human-in-the-Loop Pattern and Model Context Protocol (MCP) Pattern to ensure safety and verifiability.

Key Benefits

As agents interact more and delegate work, quick, repeatable signal about reliability and failure modes becomes essential for trust. iFixAi gives teams a compact, provider-agnostic snapshot of misalignment risks so you can compare models and track regressions. Its replayable manifest and rapid grading make it practical for continuous agent evaluation and pre-production safety gates. This aligns with a Planning Pattern mindset to map evaluation stages.

Ideal For

Safety engineers and teams doing pre-production model audits or continuous evaluations who need fast, reproducible misalignment checks across multiple providers. Ideal for security teams running Event-Driven Agent Pattern investigations.

Use Cases

  • Run pre-deployment safety checks across multiple model providers
  • Compare model regressions and get a fast letter-grade summary for CI pipelines
  • Audit and reproduce problematic runs using content-addressed manifests
Works With
openaianthropicaws-bedrockazuregoogle-gemini
Topics
agent-evaluationaiai-alignmentai-evaluationai-governanceai-safetyclidiagnostic-tooleu-ai-acthallucination-detection+10 more
Similar Tools
agent-playground
Keywords
a2a evaluationagent-evaluationmisalignment