Production hardening for apps built with Cursor, Claude, v0, and Lovable. The ten-phase playbook used to ship four enterprise systems — written for founders who built with AI and now have customers depending on it.
You built it fast. Cursor wrote most of it. You hit ship.
Then real users showed up. And the questions started piling up.
“You don't have answers. You wrote it with AI. You shipped it with AI. You're going to scale it with AI.”
But the failure modes aren't in any tutorial — and the senior engineer who'd normally catch them costs $250 an hour and doesn't take small contracts.
Built from running real audits on real production code. Refined while shipping four enterprise systems including AI agent infrastructure handling regulated B2B workflows.
EACH PHASE HAS AN EXIT GATE. NO PHASE IS SKIPPED. NO LAUNCH PROCEEDS WITHOUT GREEN.
I'm shipping four production apps in parallel under The AMSO Group — TriadOS, TriadOS Finance, Phase Zero, and one more I'm actively building. My day job is enterprise B2B sales at a Fortune 500 software company, where I've spent years watching multi-million-dollar deals get killed by exactly the kind of production failure most AI-built apps walk straight into.
The playbook started as my own checklist. After the fourth time I caught a critical bug by running the same set of prompts, I cleaned it up and turned it into this kit.
It's the document I wish someone had handed me when I started shipping.
The complete production hardening playbook — methodology, twelve audit prompts, scorecard. Free. Delivered to your inbox in thirty seconds.
Same methodology you read in the free Playbook — more surface area at each step up. Pick the tier that matches how far you need to go: a full hardening kit for the app you're shipping now, or the whole founder operating system for the company you're building around it.
Everything you need to ship hardened.
Build the right thing, sell it, keep it alive.
Founders, indie devs, and small teams who've shipped — or are about to ship — a real app built largely with AI. If you have users, or you're about to, and the words “race condition,” “idempotency key,” or “connection pooling” make you nervous, this is for you.
No. The prompts do the work. You paste them into Cursor or Claude with your codebase open, and you get a structured audit back. You decide what to fix; the kit tells you what to look for.
The core pipeline is stack-agnostic. Stack-specific guides — in the paid tiers, launching soon — cover Next.js + Vercel, Supabase, Railway, Neon, plus more added quarterly.
No. The playbook is written by hand based on real audits. The prompts have been tested on actual codebases. AI-generated production checklists are exactly the kind of thing this kit is designed to catch.
The free playbook gives you the methodology — the ten phases, the framework, what to look for. The Production Kit hands you the actual tools: the twelve audit prompts standalone, the readiness scorecard, the Top 15 Production Killers reference, the API and MCP architecture module, and the stack-specific gotchas. Founder OS adds the full operating system for selling and growing what you ship. Launch pricing is locked in for the first one hundred customers per tier.