Our review process for AI-generated code
AI writes a lot of first drafts in our studio. Nothing ships until a person has read it and the checks pass. Here is the process, layer by layer.

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Practical notes from building websites, SaaS products and AI tools every day: what works, what we check by hand and what we have learned.
AI writes a lot of first drafts in our studio. Nothing ships until a person has read it and the checks pass. Here is the process, layer by layer.
Less typing, more reviewing, and the same amount of thinking. A day-by-day look at a typical build week in our studio.
AI helped us turn pay rules into code and tests quickly. The hardest parts turned out to be writing the rules down and getting payslips into inboxes.
Vague briefs get vague estimates. A few pages covering the right topics can make estimates far more accurate and comparable. Here is what to include.
We do not pick AI models by reputation. We test a short list on the client's real examples. Here is the process, step by step.
The number of screens matters less than you think. Here are the things that really move the budget of a first SaaS version, and how to keep them in check.
If a business asked us where to start with automation, these are the seven problems we would look at first, and why.
MCP servers let AI assistants use your business tools. Here is what that means in practice, without the jargon, and what to ask before you connect anything.
AI drafts a lot of our code, tests and documents. People still own the decisions that make a product good. Here is where we draw the line, and why.
What ExecMedia builds, why we reorganized the studio around AI-accelerated development, and the promises we make to every client.
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