You describe what you want in plain English; an AI writes and runs the code. This is the series for founders, managers and other non-engineers who want to build real software with Claude Code — starting with apps for their own store.
The term describes a way of working, not a product: you state the outcome you want in ordinary language, an AI agent writes the code, runs it, reads the errors and fixes them, and you judge the result by whether it does the job. You stay the person deciding what gets built and whether it is good enough — the agent handles syntax, wiring and the tedious middle.
That shifts the hard part. It is no longer remembering how to write a loop; it is describing the problem precisely, knowing when the answer is wrong, and keeping a project small enough to stay reviewable. The series covers those skills in the order you actually hit them: getting a first thing running, keeping the agent honest about errors, storing data somewhere real, putting it on the internet, and recognising the point where a prototype needs an engineer.
Store owners and operators who keep hitting the same wall — the report nobody will build, the integration that never reaches the top of the roadmap, the manual process everyone tolerates. Those are exactly the jobs worth handing to an agent, because they are small, well understood, and low-risk to get wrong on the first attempt.
It pairs naturally with the rest of the site: WisWes itself is an AI agent working inside a store, and custom MCP & tool customization shows the same idea applied commercially — you describe what the assistant should do and it does it, no code. For the economics of running agents in production, see how to price an AI agent.