Agentic AI Thoughts

Why AI companions fail today and how to build one that truly understands you through memory orchestration, multi-agent architecture, and conversational personality modeling.

AI companions need a sensory system. Wearables — rings, pendants, bracelets disguised as fashion — give AI the ability to feel what you're feeling and shift from reactive to proactive care.

Agents will live your life for you — socializing, negotiating, filtering. The infrastructure for agent identity, payment, reputation, and proxy social networks is the next platform play.

Reflections on a podcast interview with MuleRun's founder — Claude Code as the ultimate General Agent, disposable software, and what happens when the agent economy thesis meets reality.

A weekend teaching a non-engineer friend to use AI agents revealed the real bottleneck of the agent revolution: not technology, not cost, but cognition.

The skill that matters in the agent era isn't coding — it's managing AI. From giving clear instructions to calibrating trust, here's what working with agents actually looks like.

Eight practical lessons — none requiring a technical background — on how to actually start working with AI. From paying for the best model to cultivating taste as your moat.

SemiAnalysis calls Claude Code the inflection point. As someone who works inside Claude Code every day, I want to explain why Anthropic built it, and what it actually changed.

Coding is the beachhead, not the destination. The paradigm shift has already happened — but the window won't stay open forever.

When an agent understands its own source code, the loop closes. Software stops being something you build — it starts building itself.