iFixAi launches an open-source diagnostic for AI misalignment with 32 provider-agnostic tests and replayable scorecards.
iFixAi is a free, open-source diagnostic for AI misalignment that runs 32 inspections across five risk categories: fabrication, manipulation, deception, unpredictability, and opacity. It works across major providers including OpenAI, Anthropic, Azure OpenAI, Gemini, Bedrock, Hugging Face, OpenRouter, HTTP, and LangChain, and it produces a letter grade in under five minutes along with a content-addressed manifest for deterministic replay. The project is positioned as a repeatable CI signal and comparison tool rather than a safety certification, with outputs designed to be tracked over time and audited later.
Hot take: this is most compelling as an engineering control plane for alignment drift, not as a universal benchmark of “AI safety.”
- –The strongest differentiator is replayability: the manifest-driven workflow makes audits and vendor comparisons more defensible than typical eval dashboards.
- –The scope is broad enough to be useful in CI, because it tests both model behavior and system-level properties like logging, traceability, and policy stamping.
- –Provider agnosticism matters here; the same harness can compare systems across OpenAI, Anthropic, Azure, Gemini, Bedrock, and others without rewriting the benchmark.
- –Caveat: the repo explicitly says there are no published baselines yet, and the default thresholds are policy defaults rather than empirically calibrated scores.
- –That means the product is better framed as a drift detector and comparative diagnostic than as an authoritative absolute grade.
DISCOVERED
2h ago
2026-05-09
PUBLISHED
2h ago
2026-05-09
RELEVANCE