OpenClaw proved AI companions work. It also exposed fundamental limitations — context bloat, primitive memory, bloatware. Patching wasn't worth it. This is the starting point for Mio: an AI companion framework built for deep memory and lifelike presence.

Using OpenClaw to inject personality into my personal AI assistant — from a calendar-managing tool to a cyber companion that gets jealous, sends selfies, and says goodnight. A field report on emotional value, model safety boundaries, and AI persona engineering.

After years of commercial VPN services, I decided to self-host. One afternoon, one VPS, Claude Code doing all the work. Shadowsocks got blocked within hours, the cert saga had three false starts, but what came out the other side was more complete than I expected.

In Agentic AI Thoughts I wrote that memory orchestration is the technical moat. Now I've built it with Claude Code — MBTI long-term memory + Deep Companion, and what happens when AI actually remembers what you said.

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

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.