Every AI Product Is the Same Loop

the build loop

Part of: How to Build with AI: The Playbook

Before you build twenty-two products, learn the one shape they all share. Every AI product, from a text summarizer to a research agent, is the same six-step loop wearing different clothes. The loop 1. Input : get something from the user. Text, a file, an image, a question. 2. Prompt : turn that input into clear instructions for the model. 3. Call : send it to the model and wait for a reply. 4. Parse : pull the useful part out of the reply. A summary, a JSON object, an answer. 5. Verify : check the reply is good, and retry or repair it if it isn't. 6. Ship : do something real with the result. Print it, save it, show it in a UI. That's the whole skeleton. A chatbot loops steps 1 through 6 forever. A summarizer runs them once. A search app adds a lookup step between input and prompt. The shape underneath never changes. Where projects differ Beginners get lost because every tutorial looks different on the surface. Once you can see the loop, every project collapses into one question: which step is the special one here? A vision app changes step 1, because the input is an image. A data-extraction tool changes step 4 and parses into JSON. An agent repeats steps 2 through 5 in a cycle. You