Overview
iFixAi is your essential tool for ensuring AI agents perform as intended. In the rapidly evolving AI Agent Economy, verifying an agent's alignment with business objectives and organizational structures is paramount. iFixAi provides independent, comprehensive auditing, enabling you to catch critical mistakes and blind spots before they impact your operations. Get actionable insights and a citable grade in under 120 seconds.
Key Features
- Independent Auditing: Delivers unbiased assessments of AI agent performance against defined business KPIs and organizational structures.
- Rapid Results: Provides answers and grades in under 120 seconds, enabling swift validation and iteration.
- Multi-Faceted Execution: Run audits via a guided CLI wizard, explicit CLI flags for automation, or directly within your AI agent through plugins and skills.
- Comprehensive Test Suites: Choose from various suites (smoke, strategic, essential, core, extended, all) or run a full audit to uncover a wide range of potential issues, from prompt injection to policy breaches and data privacy concerns.
- Citable Grades: Achieve verifiable grades by having your agent evaluated by an independent judge model from a different provider.
- Developer Tool Integration: Seamlessly integrates with popular AI agents and IDEs like Claude Code, Codex, Cursor, VS Code, and more, via native plugins or scaffolded skills.
- Cost Transparency: Provides cost estimates before execution, especially useful for plugin-based runs.
- Policy Lab: Explore and test business-policy compositions to identify and repair harmful action sequences.
Typical Use Cases
- AI Agent Validation: Confirm that your AI agents are meeting business requirements and not exhibiting unintended behaviors.
- Pre-Deployment Assurance: Ensure AI agents are safe, reliable, and compliant before they are released into production.
- CI/CD Integration: Automate agent testing as part of your continuous integration and delivery pipelines.
- Model Comparison: Objectively compare the performance and safety of different AI models or agent configurations.
- Security and Compliance Audits: Identify vulnerabilities such as prompt injection, unauthorized access, and data leakage.
- Onboarding New Agents: Quickly assess the capabilities and limitations of newly developed or acquired AI agents.
