One-Person-LabBuilding is the easy part now. This is the system for the part that isn't.AI collapsed the barrier to building software. The barrier to getting customers hasn't moved. You can ship an app in 30 days — and spend 3 years looking for its users.I run a five-product lab alone — an iOS subscription app, a macOS app, a web app, a browser extension, and the site that sells them. The work gets planned, test-driven, reviewed, and shipped by AI agents that follow a system. And the same system schedules the part most builders skip: validation before building, and distribution every single week.This is that system. Not a course about it. The actual files.What you get🗂 Plans agents execute — including the marketing. The PLAN.md and MARKETING_PLAN.md templates that run the lab: lanes with "done when" acceptance criteria, a KPI morning routine, channel cadences, and the standing rule that a week without distribution actions is a failed week. The part every other AI kit leaves out.🚦 A validation gate your AI enforces. No feature gets build hours until four questions are answered in writing: What problem? Who feels it daily? Why are current solutions inadequate? Who would miss it tomorrow? Your agents refuse to build ungated ideas — the discipline that stops you shipping things nobody would miss.🤖 47 agent definitions + layered rules. Planner, TDD guide, code reviewer, security reviewer, build-error resolvers, per-language reviewers — backed by a common layer of standards (testing, security, code review) with overrides for TypeScript, Python, Go, Swift, PHP, and the web. Your AI stops being one generalist in a chat window and becomes a team with roles.🪝 The quality-gate hooks. Every git commit is scanned for secrets, debug statements, and message format — and --no-verify is blocked, so neither you nor the agent can skip it. Edits are auto-formatted and type-checked the moment they happen. The standards stop being optional.📖 The operating manual. Setup in 15 minutes → your first agent-run feature, walked through a real shipped example → the daily loop → shipping and distributing → making the system yours. Dense pages, zero filler.Who it's forSolo developers and tiny teams using Claude Code who can build anything now — and have learned that building was never the bottleneck. If your AI sessions start from zero, drift from standards, and your products launch to silence, this is the fix.Who it's NOT forPeople looking for prompt collections or "100 ChatGPT hacks" PDFs. This is infrastructure. You install it, and your next session — and your next launch — behaves differently.ProofThe system's output is public: patakolabs.com — FoodTracker (App Store), MicroReps (Mac), Close Idle Tabs (Edge), two more in validation. Every line was shipped through these rules, agents, and hooks — and I publish the revenue numbers, including the ugly early ones.RequirementsClaude Code (CLI or desktop), Node.js, git. macOS or Linux paths out of the box.UpdatesThe kit mirrors my live setup and is updated as the lab evolves. Your download link always serves the latest version.---Launch price $39 — goes to $59.---