GO-LIVE DOCTRINE · SEASON 1

The Go-Live Doctrine

Twenty-three short, standalone guides on the failures every AI-built app shares — and the concrete checks that catch each one before launch.

AI gets you to a working app in a weekend. Then real users arrive and the failures are boringly predictable: auth that only looks right, secrets in the repo, an uncapped AI bill, a database with no backups, a deploy no one can reproduce. Each guide below takes one of those, explains why you never see it coming, and gives you two of its checks in full — free. The complete one-pager for any topic is $5, or take all 23 plus the checklist for $29.

All 23 doctrines

In sequence — auth first, because everything else is moot if that's broken.

No. 01 Broken Auth AuthenticationVibe-coded apps share one flaw: authentication that looks right and functions right, but whose security model is Swiss cheese. The developer never… No. 02 Auth That Looks Right AuthenticationAI-generated authentication is dangerous precisely because it looks right and functions right — while the security model underneath is Swiss cheese… No. 03 Auth At Scale AuthenticationThe auth bugs that end companies never show up in testing. They show up under concurrent load, when session tokens collide and user A opens user B's… No. 04 Leaking Secrets Secrets & KeysAI coding platforms don't sandbox your secrets, don't audit for exposed credentials, and don't enforce least privilege. If you're not paying… No. 05 Input Validation Web VulnerabilitiesAI-generated code compiles, runs, and demos beautifully — and most of it cannot defend against a basic cross-site scripting attack. The model… No. 06 Dependency Audit Supply ChainAI builds by importing libraries — and it never checks whether those libraries are maintained, vulnerable, or even legal to ship. Your app is only as… No. 07 The Security Checklist SecurityEvery serious product goes through a pre-launch security review — dozens of items, checked one by one, every release. Most solo builders run zero of… No. 08 State Of AI Code Security SecurityIf an LLM generated your app and it hit production without a human security pass, you're not running a startup. You're running an experiment on your… No. 09 The Scaling Cliff ScalingAI-generated code optimizes for *works*, not for *works at scale*. Nothing is wrong until everything is wrong at once — and by then, it's launch day. No. 10 The API Wall ScalingEvery vibe-coded app hits the same ceiling: it runs beautifully for one user and collapses the moment real traffic shows up. No. 11 Controlling API Costs Cost ControlAPI costs that look negligible in a demo become the line item that kills your margin at scale, and by the time you notice, the invoice has already… No. 12 The Prompt Bill Cost ControlAn AI feature that costs nothing with one user costs a fortune with a thousand — model the bill before you set the price, not after the first invoice. No. 13 The Logging Black Hole ObservabilityVibe-coded apps generate code for the happy path — never code that records what happened when things go wrong. No. 14 Real Logging ObservabilityAI writes features on command. It never writes observability unless you ask — so most vibe-coded apps run with no idea what's actually happening… No. 15 The Database Time Bomb DatabaseEvery schema change made straight to production without a record of it is a bet that nothing will ever go wrong. Eventually the bet loses. No. 16 Deployment Roulette DeploymentWhen a deployment succeeds or fails at random, the process isn't broken — it never existed in the first place. No. 17 Feature Flags ReleaseFeature flags split "deploy the code" from "turn on the feature" into two separate decisions — so you never have to bet an entire release on one… No. 18 The Demo Trap TestingVibe-coded apps get built and tested against one perfect path — one user, clean data, ideal conditions — and that path is never what real users take. No. 19 The 80 Percent Wall Production ReadinessAI tools take an idea to a working prototype in a weekend — then production readiness stalls it, because a working demo and a shippable product are… No. 20 API-First Architecture ArchitectureAI doesn't click buttons. If your platform only exposes features through a UI, no AI agent — yours or anyone else's — can actually use it. No. 21 You Can’t Bolt AI On ArchitectureBefore you promise an AI feature, check whether your architecture can physically support one — most legacy platforms can't, and no amount of clever… No. 22 Passing App Review ComplianceApp-store review is a production gate, not a formality — treat it like a security audit or you'll spend months resubmitting. No. 23 Built To Hand Off DocumentationAI can write code that runs on your laptop — it doesn't automatically write code another human can maintain.

Best value · the whole season

All 23 docs + the go-live checklist — $29

Every one-pager, the combined cover-to-cover PDF, and the standalone Go-Live Checklist. Buying the docs one at a time is $115; the bundle is $29.

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