Everything we know about getting an AI-built app into production
Three places to look, depending on what you need: notes on specific problems, walkthroughs of whole engagements, and checklists you can run against your own app this afternoon.
The blog, the case studies, and the guides
They answer different questions. The blog is for a specific problem you have right now, the case studies are for deciding whether we are the right people, and the guides are for doing the work yourself.
Blog
Production engineering notes for AI-built apps.
Short, specific write-ups on the problems we run into and how we fix them.
- Named failure modes, with the code or setting that causes them
- Notes tied to the platforms people build on - Lovable, Replit, Base44, Bubble, Supabase
- Security, performance, cost and deployment, from work we are doing now
Case Studies
What the work looks like, start to finish.
Walkthroughs of engagements: the state the app arrived in, the findings that blocked a launch, the order we fixed them in, and what changed by the end.
- The situation before, in enough detail to recognise your own app
- The findings ranked by severity, and why that order
- What measurably changed - latency, error rates, cost, time to deploy
Guides
Checklists and frameworks you can run yourself today.
The material we work from, published in full: a launch checklist, a security audit playbook, a framework for choosing where to host, and a cost model for the next two orders of magnitude.
- Every item written as a check that can pass or fail
- Commands, SQL and probes you can copy and run against your own staging
- Severity ratings, so you know what blocks a launch and what does not
Find the answer by where you actually are
Most people arrive with one of these five sentences. Each one has a document behind it, and none of them require talking to us first.
- “We launch in two weeks and nobody has checked anything.”The 40-point production readiness checklist
- “I am not certain one customer cannot see another's data.”The AI-built app security audit guide
- “The bill jumped and I cannot explain which line grew.”Cost modelling at 10x and 100x
- “The builder's hosting is starting to constrain the product.”Choosing your production stack after the builder
- “I would rather hand the whole thing to someone else.”Book a free call - the audit and the consult cost nothing
Straight to the guides
No signup, no email gate, no download form. They are web pages, and they are the same material we work from.
- Checklist9 min
The 40-point production readiness checklist
Forty checks that decide whether your AI-built app survives its first real users. Every one is written so it can pass or fail, with a line on how to prove which.
Read the guide - Playbook12 min
The AI-built app security audit guide
The order we work in when we audit an app that came out of Lovable, Replit, Base44 or Claude Code - with the commands and queries we actually run at each pass.
Read the guide - Decision guide9 min
Choosing your production stack after the builder
A framework for deciding where your app should actually run once the builder's hosting stops fitting - including the case against each option, which is the half most comparisons leave out.
Read the guide - Model9 min
Cost modelling: what your app will really cost at 10x and 100x
How to build a cost model that survives growth: the demand drivers, the line items people forget, and the traps that turn a sixty dollar bill into six thousand without the product changing.
Read the guide
Publishing the checklist is the whole pitch
If you read the guides and fix everything yourself, that is a good outcome - there is one fewer app on the internet leaking customer data. If you read them and decide you would rather not spend three weeks on it, you already know what we would do and in what order. Either way nothing here is behind a form.
Ready to go live with confidence?
Let's turn your app into a reliable product your users love.