AI risk literacy platform for engineering teams
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Lernf is an AI risk literacy platform that helps developers and engineering teams build critical skills for working with AI systems. Rather than teaching people to use AI faster, Lernf teaches them to think about AI critically — understanding how different models behave, where they diverge, and what that means for real engineering decisions.
The platform includes five hands-on tools. The Intent Gradient Overlay lets teams compare how Claude, GPT, Gemini, and other models approach the same input, revealing distinct behavioural patterns that are invisible when using a single model. Workplace Scenario Training uses AI-powered NPCs to simulate realistic engineering conversations — navigating stakeholder pushback, technical trade-offs, and team dynamics. PR Code Review Practice generates realistic pull requests with embedded issues for developers to find. The GRIP Diagnostic provides a structured framework for evaluating AI governance risks across four dimensions. And Devil's Advocates puts your proposals through multi-round deliberation from AI critics attacking from different analytical lenses, then analyses your own response patterns to reveal how you handle challenge and criticism.
Lernf occupies a unique position in the market. Existing multi-model tools treat comparison as a quality question — which model gives the best answer. Lernf asks a fundamentally different question: which model is exhibiting which behavioural patterns, and what does that mean for your decision-making? This is behavioural AI analysis, not benchmarking.
With the EU AI Act Article 4 requiring AI literacy for all AI system operators by August 2026, organisations need practical training infrastructure that builds genuine competence, not just checkbox compliance. Lernf provides that infrastructure.
The platform offers a free tier with bring-your-own API keys, individual plans at $20/month, and team plans at $15/seat/month. Built for engineering teams who want to adopt AI responsibly without slowing down.
