Build in public.
Notes from whatever I'm currently building, thinking about, or figuring out. I update this when something is worth writing down.
- // 008Building
Vibe Coding Gets You to Week Two. Then You Hit the Wall.
There's a specific failure mode that hits a lot of builders right now. You ship fast with AI, things work, you feel productive — and then somewhere around week six or month three, the project starts fighting back.
[ Read_Entry → ] - // 007Ai
The Quiet Cost of Outsourcing Your Thinking
AI makes me faster, but I'm starting to wonder what I lose every time I skip the part where I think it through myself.
[ Read_Entry → ] - // 006Ai
The Cost of a World That Answers Everything
When every question gets an instant answer, I'm not sure we're getting smarter — I think we might just be getting quieter.
[ Read_Entry → ] - // 005Ai-agents
What Happens When You Give an AI Agent Context About Your Actual Life
There's something strange that happens when an AI starts knowing your actual goals, your blockers, your patterns. I've been building toward that for a few months. I didn't expect it to feel the way it does.
[ Read_Entry → ] - // 004Systems
The Difference Between Having Tools and Having a System
I kept adding tools to my stack and wondering why nothing felt stable. The problem wasn't the tools. It was that I had never actually built a system around them.
[ Read_Entry → ] - // 003Ai-agents
The Agent That Runs Before I Wake Up
I set Hermes on a cron and let it run every morning. It pulls stock prices, checks my email, and builds a task list that actually fits my day. That sounds small. It isn't.
[ Read_Entry → ] - // 002Ai
TRIBE v2: Meta Built Something Genuinely Strange, and I Can't Decide How to Feel About It
Meta released a brain prediction model trained on 720 people's fMRI scans. It can predict how any human brain responds to video, audio, or text. It is open source. I keep coming back to this one.
[ Read_Entry → ] - // 001Ai
What I Learned Building My First AI Automation Pipeline
I spent three weeks building an AI automation pipeline that was supposed to save me hours every week. Here is what actually happened, what I got wrong, and the one thing I keep coming back to.
[ Read_Entry → ]