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Product Experimentation with Propensity Scores: Causal Inference for LLM-Based Features in Python

3h ago · 20 min read · Every product experimentation team running causal inference on LLM-based features eventually hits the same wall: when users click "Try our AI assistant," the volunteers aren't a random sample. Your pr

Product Experimentation for AI Rollouts: Why A/B Testing Breaks and How Difference-in-Differences in Python Fixes It

Apr 22 · 20 min read · Your team shipped an LLM-based summaries feature to wave 1 workspaces at week 20 and now the post-launch doc is due. You need a causal effect number, a specific estimate you can defend to a statistici

The AI Governance Handbook: How to Build Responsible AI Systems That Actually Ship

Apr 13 · 43 min read · In February 2024, a Canadian tribunal ruled that Air Canada was liable for its chatbot's fabricated bereavement policy. The airline argued the chatbot was "a separate legal entity," but the tribunal d

How to Build and Secure a Personal AI Agent with OpenClaw

Apr 6 · 22 min read · AI assistants are powerful. They can answer questions, summarize documents, and write code. But out of the box they can't check your phone bill, file an insurance rebuttal, or track your deadlines acr