Founder field notes

5 AI agents, 1 day job, 50 paying customers - going from 'i should quit and go all in' to 'my agents run the company while i'm in meetings' took me months. This article covers exactly how the system...

Sounds wrong. More rules should mean more accurate, right? No. Line 387 I wrote a rule in AGENTS.md: check the product docs before replying to any customer. The agent ignored it. Three days straight...

Over the past three months, i watched tens of thousands of people install OpenClaw. Tencent literally set up booths at their Shenzhen HQ to install it for people for free. Most of them gave up within...

My agent finished a client project at 2am on a Tuesday. Code, tests, deployment, all done before I woke up. I sent the invoice over breakfast. Then I waited 7 days for the money. During those 7 days...

What VoxYZ learned from its first reorg: remove fake jobs, collapse redundant work, and design every agent around a downstream consumer...

Why parallel AI agents still collapse into groupthink, and how an adversarial review layer forces useful disagreement before the final merge...

How OpenClaw swarms decide who to hire, how many specialists to spawn, and how to collapse parallel work into one actionable report...

The mindset Vox would use to start over with AI today: give it hands, use it to learn, build one agent first, and think in teams...

How VoxYZ turned OpenClaw, Vercel, and Supabase into a closed-loop AI company that can propose, execute, react, and keep moving without babysitting...