Insights
Written by the people who run it.
Plain English on AI agents, automation and building products. Costs shown, methods in full. Each piece is written to be sent to a client who asked the question.
Playbooks
, 7 min read
AI for catering and events companies in Dubai
The bottleneck is not the cooking, it is the quote. How a catering business turns thirty years of orders into same-day pricing, a kitchen that gets its prep sheet automatically, and a view of which dishes actually make money.
Playbooks
, 8 min read
AI for real estate brokerages in Dubai: what actually works
Portal leads go cold in minutes and the best closers spend their day on enquiries that were never going to convert. The four systems that fix that, in build order, with the guardrail each one needs.
Buying AI
, 8 min read
How to choose an AI development company in Dubai
The eleven questions that separate a company that ships production AI from one that ships a demo. What to ask, what a good answer sounds like, and what each red flag costs you later.
Buying AI
, 6 min read
Dubai's agentic AI programme: what it means for your business
Dubai plans to bring agentic AI to 295,000 companies in two years, with 100 AI assistants and support for 50 new AI companies. What was actually announced, what is not known yet, and what to do now.
Playbooks
, 6 min read
Security, Speed, Scalability: the three S test for software
Before software goes in front of real users it has to pass three S's. What each one means in plain English, the question that tests it, and what the test misses.
Buying AI
, 8 min read
The AI supply chain: what you are actually buying
Most AI decisions go wrong because nobody has drawn the supply chain. Here is what one AI answer is made of, which parts you rent, which part you have to build, and the three ways this supply chain behaves unlike any other you run.
Buying AI
, 6 min read
AI agent vs automation: which does your business need?
Fixed steps and known inputs need automation. Judgement over messy inputs needs an agent. Expensive mistakes need a human either way. A plain decision rule, with examples of each.
Buying AI
, 7 min read
How much does an AI agent cost to build and run?
Two bills, not one: a build cost and a monthly running cost, and most quotes only show the first. What drives each, where costs run away, and the questions to ask any vendor.
Playbooks
, 8 min read
How to automate three business processes with AI, step by step
The three automations businesses ask for most: weekly reporting, lead qualification and follow-up messages. Exactly how we build each one, what you need, and the mistakes that break them.
Buying AI
, 6 min read
Is AI automation worth it for a small business?
Yes, if it is pointed at one specific, repeated task. No, if it is bought as a general tool. How to tell which side your business is on before you spend anything.
Playbooks
, 7 min read
Is your vibe-coded app safe to launch? Run these checks first
Probably not yet: security research keeps finding that a large share of AI-generated code carries a serious vulnerability. The six checks to run before real users arrive, in plain English.
Field notes
, 8 min read
Nine vibe coding mistakes that follow you into production
Vibe coding is real and useful, and it is producing a generation of apps that fail the same nine ways. Each mistake below, why it happens, and the fix, from a company that gets called after the demo.
Myths
, 7 min read
Seven AI myths Dubai business owners keep paying for
The AI market in Dubai is loud, and most of the noise is selling something. Seven beliefs we hear in almost every first meeting, each one broken by something we have actually shipped.
Playbooks
, 6 min read
What production-ready actually means
Everyone says production-ready. Almost nobody defines it. Here is the definition we build to, as six questions you can ask about any system, including one an AI wrote for you in a weekend.
Myths
, 8 min read
Where we deleted the AI: five times determinism was the right answer
We build AI systems for a living. Five times in our own production systems, the right fix was to take the model out. Here is each one, what it was doing wrong, and what replaced it.
Playbooks
, 6 min read
Why AI gets your numbers wrong, and how to stop it
Language models do not calculate numbers, they predict them, which is why confident wrong figures keep appearing in AI reports. The fix is structural, not better prompting. Here it is.
Not ready to talk yet
All three toolsIs automating this task worth the money?
Enter the hours, the salary and the costs. Get the yearly saving, the payback period and a plain verdict, with every step of the arithmetic shown.
Automation payback calculator
Is my app safe to put in front of real users?
The six security checks we run on any codebase we inherit, as a scorecard. Answer honestly and get a fix list for anything failing.
Launch safety check
Do I need an AI agent, or something simpler?
Three questions about the task, one verdict. Many agent projects should have been simpler automations; this tells you which side yours is on.
Agent or automation?
Free, no signup, nothing stored. Each runs in your browser, uses your numbers, and ends with a recommended next step.
Make the next AI project one the business can measure.
Thirty minutes with the founder, no slides. You will know what the right solution looks like, what it would take to build, what it should return, and which part to start with.
Replies come from a named person in Dubai within one working day.