Building Trust with Agentic AI UX Patterns: A Dev’s Guide

Building Agentic AI UX Patterns requires shifting from ‘magic’ to control. This guide covers 6 essential patterns—including Intent Previews, Autonomy Dials, and Action Audits—to ensure autonomous AI systems build user trust rather than destroying it. Learn how to architect relationships where users always hold the ultimate authority.

Mechanistic Interpretability: Peek Inside the LLM Black Box

Mechanistic Interpretability is the ‘Xdebug’ of the AI world, allowing developers to reverse-engineer LLMs. By tracing ‘circuits’ and the ‘residual stream,’ we can understand why models hallucinate or reason. This post explores the technical tools like TransformerLens and how to debug neural networks like a senior software engineer.