Free production-hardening prompts for apps built with Cursor, Claude, v0, and Lovable. The ten-phase pipeline 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 — ApexTalent (AI recruiting, live on Vercel), TriadOS (agent-orchestration infrastructure), 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 — a row-level security gap on one app, an unbounded AI-cost loop on another — I cleaned it up and turned it into this kit. It's the same pipeline I run on every system before real customers touch it.
It's the document I wish someone had handed me when I started shipping.
Paste the free Hardening Score prompt into Cursor or Claude and get a production-readiness audit in five minutes — plus the full ten-phase playbook that shows you how to fix what it finds. Both free, delivered in thirty seconds.
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. All prompts work with any stack — just tell the AI which tools you're using and it adapts the audit to match.
Scanners find problems and hand you a report — a score, a list of red flags, and then you're on your own. ShipHardened fixes them. The twelve prompts turn Cursor or Claude into a senior engineer that remediates in place: it rewrites the query, adds the index, enables the RLS policy, wires the idempotency key. Scanners diagnose. This treats.
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.
You can — a human audit of a vibe-coded app runs $1,500–$5,000 and takes weeks. If you have the budget and a launch that justifies it, do that. ShipHardened runs the same ten-phase pipeline through your own AI tools — free. Many founders use it to get to a clean baseline, then bring in a human only for the final pass.
The free playbook gives you the methodology — the ten phases, the framework, what to look for. The prompts hand you the actual tools: the twelve audit prompts standalone, the readiness scorecard, the Top 15 Production Killers reference. Everything is free. We collect your email, send you the kit, and you run the prompts in Cursor or Claude yourself.