Learn
Build production-ready software with AI.
AI tools make the first day cheap. This guide is about every day after that. Written by a Dubai company that builds and runs AI systems for a living, and published free in full.
The path, in order
- 01
Start here
What one AI answer is actually made of: which parts you rent, which part has to be built, and the three ways this supply chain behaves unlike any other you run.
- 02
Set the standard
The standard everything else builds to: six questions that separate a demo from a product, each answerable with evidence.
- 03
Clear the myths
The beliefs that waste the most money, each one broken by a production system rather than an argument.
- 04
Avoid the mistakes
The nine failures we check for in the first hour of looking at any inherited codebase, with the fix for each.
- 05
Check before launch
The six security checks to run before real users arrive, in the order we run them on any codebase we inherit.
- 06
Build something real
The three most requested automations, written out step by step with the failure points marked.
- 07
Learn the judgement
The senior skill: five times the right decision was to take the model out of a working system.
The production checklist
Six, all with evidenceThe short version of the whole guide. A system is production-ready when all six hold, with evidence:
- 1Name the three most likely failures. Each one has a written answer.
- 2“What did it do yesterday?” is answerable in under a minute.
- 3Tests exist, and a failing test blocks the release.
- 4A backup has actually been restored, and there is a date to prove it.
- 5Secrets live on the server, and every endpoint denies by default.
- 6Every account is in the business's own name, and a named person answers.
Most weekend builds clear two of the six on a first pass, which is normal. The rest is a work list, and every item on it is a day or two of work. The full standard is in What production-ready actually means.
See it working somewhere real
Seven processes in seven industries, each one stating what was built, what changed, how it was measured, and where a person stays in charge.