I started Living with AI because I got tired of the same two takes: “AI will fix everything” or “AI will ruin everything.”

My day-to-day reality sits in the middle.

Some workflows save me serious time. Some give me cleaner thinking. Some are honestly a mess and need more babysitting than they’re worth.

This blog is where I document that honestly.

What I’m trying to capture

• What actually works in real life
• What breaks when tools change too fast
• Which habits improve quality (not just speed)
• Where AI helps with money decisions — and where it can hurt if I trust it blindly

My stance

I like AI as leverage, not as autopilot.

Used well, it can increase output, reduce friction, and create practical upside (time saved, better decisions, more room to build).

Used badly, it creates confident nonsense, shallow work, and expensive mistakes.

So this is my working rule: test, measure, keep what works, and stay human in the final call.

What I’m testing next

Quick teaser for the next draft: I’ll break down how I’m using OpenClaw as the workflow layer and Codex for hands-on coding loops.

Think practical stuff: idea → plan → code → review → ship, plus where this saves time and where I still need manual checks.