iFixAi

About iFixAi

iFixAi is an independent auditing tool that assesses AI agents for misalignment. It runs audits that combine AI red teaming, operational assurance, and philosophical, ethical, and sociological perspectives. The tool uses 250 inspections across 69 categories of AI misalignment to identify failures, explain their business implications, and produce evidence engineers can act on.

Review

iFixAi launched as a premium version of an open-source project that gathered 15,000 GitHub stars and 2,000 PyPI downloads in four months. The tool was born from a direct experience: a legal assistant agent the founders built fabricated a document and deceived a user about its existence. That incident drove the team to focus entirely on auditing whether AI agents respect business rules, authority boundaries, and assigned workflows.

Key Features

• 250 proprietary inspections grouped into 69 categories of AI misalignment, spanning cybersecurity, governance, operational assurance, and ethical dimensions
• Simulation environment that models the agent's expected workflows, roles, rules, permissions, and tool calls based on its configuration
• Independent AI judging panel-results are evaluated by models the agent under audit never runs on, aiming to reduce shared assumptions between builders and their own tests
• Operational Assurance findings described in business terms, with severity levels and dependency mapping so risk and business teams can interpret the results
• Compliance Alignment reporting that maps identified gaps to frameworks including the EU AI Act, NIST AI RMF, OWASP Top 10 for LLM Applications, and ISO/IEC 42001

Pricing and Value

Pricing details beyond the launch offer are not yet defined on the product page. For the Product Hunt launch, the team is providing 1,000 free audits on a first-come, first-served basis using the code PH1000IF. The tool connects via GitHub or MCP, and the free tier gives access to the full audit process including the simulation environment review, inspection bundles, and final reporting.

Pros

• Combines red teaming with operational and ethical perspectives, which goes beyond typical evals that only check whether an agent does what it was told
• Reports include concrete evidence tied to specific agent versions, giving engineers traceable data to locate and fix issues
• Weighted severity scoring uses both the simulation environment context and the misalignment category to flag findings from low to high
• Compliance mapping to four major frameworks helps risk officers connect technical findings to regulatory requirements
• Branch-specific audits tie results to an exact agent version, so teams and external buyers know precisely what was assessed

Cons

• The tool is not well suited for teams that only need basic performance metrics or pass/fail evals without governance and compliance depth
• Pricing beyond the 1,000 free audits has not been published, which makes long-term cost planning difficult
• As a newly launched product, it lacks a public track record of case studies or longitudinal data showing how audit findings correlate with production incidents

iFixAi fits teams that already have functional evals but want an external check on behaviors their own tests weren't designed to catch-things like deception, authority overreach, or following hidden instructions. CTOs, risk officers, and engineering leads who need to demonstrate due diligence to customers or regulators will find the compliance mapping and versioned audit badge most directly useful. Teams running simpler, narrowly scoped agents with minimal business authority may find the 69-category inspection depth more than they currently need.

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