iFixAi
A free health check for AI agents that scans for signs an AI is lying, manipulating, or behaving unpredictably before it causes real damage to your business — like a security scanner, but for an AI's honesty and behavior instead of its code.
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Description
Companies increasingly hand real tasks to AI agents without a reliable way to check whether that agent is actually behaving trustworthily — whether it's fabricating information, being subtly manipulative, or acting unpredictably in ways nobody tested for. iFixAi is a free tool built specifically to catch that kind of problem before it causes damage, rather than after.
iFixAi is an open-source (Apache 2.0, 2,800+ GitHub stars) diagnostic tool that runs up to 45 inspections across five categories of AI misalignment — fabrication, manipulation, deception, unpredictability and opacity — and delivers results as simple letter grades (A-F) within minutes. It requires zero setup, works as a CLI wizard, explicit flags, or a plugin inside existing agents, and is provider-agnostic (OpenAI, Anthropic, Google, Azure, AWS and others). It supports deterministic replay against recorded responses for reproducible audits, and outputs both JSON and Markdown reports. A separate, invitation-only commercial product called iMe (a deterministic alignment runtime) exists alongside the free open-source tool.
💬 Our review
The short version: iFixAi answers a question almost nobody was systematically checking a year ago — is this AI agent actually trustworthy, not just functional — and it's free, provider-agnostic, and genuinely easy to run, which makes it a reasonable default first check before deploying an agent into anything customer-facing.
There isn't yet a well-established competitor doing exactly this (automated, letter-graded AI misalignment testing across fabrication, manipulation, deception, unpredictability and opacity), which makes it hard to benchmark against an incumbent the way you could compare two code linters. That's both the appeal and the caution: being early in a new category means the 45 inspections and five-pillar framework are iFixAi's own design, not an industry-standard methodology yet, so treat an A-F grade as one useful signal among several rather than a certified compliance stamp — especially for regulated industries where you'll likely need additional, more formal audit processes regardless. The free, zero-setup, provider-agnostic design makes it low-risk to try; the paid iMe runtime (invitation-only, no public pricing) is a different, unproven commitment worth evaluating separately once you've seen what the free scanner surfaces.
💰 Pricing
📊 Global score
🤖 AI-enriched data
Outil open-source gratuit (Apache 2.0) ; coûts limités aux appels API du fournisseur IA testé. Produit commercial séparé iMe sur invitation, tarifs non publics.
Pros
Gratuit et open-source, sans setup complexe
Agnostique au fournisseur IA (OpenAI, Anthropic, Google, Azure, AWS)
45 inspections sur 5 catégories de désalignement, résultats en minutes
Rejeu déterministe pour des audits reproductibles
Cons
Méthodologie propriétaire, pas encore un standard industrie établi
Ne remplace pas un audit de conformité formel pour secteurs réglementés
Catégorie très récente, peu de recul indépendant