How I Turn Ideas Into Products With AI Prompts

An engineer published a free PRD-generation prompt in the AI Product Development Toolkit on GitHub that flips the usual workflow by having the AI interview the user about goals, users and constraints before writing a product requirements document. The author argues that single-line "vibe prompting" produces confident but assumption-laden output, and that supplying structured context is what separates useful results from generic ones. The toolkit also ships planning prompts, an AI App Starter project and Claude Code agent configurations, installable as skills for Claude Code and Codex.

I'm an engineer. Before I build anything, I want to know what I'm building, who it's for and why. So when AI tools showed up, I never just typed one line at them. I gave them what I'd give a new teammate: the full picture. What surprised me was how rarely other people did. I kept seeing the same thing: someone types one line into ChatGPT, gets something generic back, and decides AI just isn't that good. It is. It was just guessing. The people getting great results from AI aren't using secret tools. They're just better at explaining what they want. That skill has a fancy name now, context engineering , but the idea behind it is simple, and anyone can learn it. I want to help more people get good at it, so this post is about the prompt I use to turn a rough idea into a clear plan for a real product, and why it works. Take a request like “Build me a habit tracker with reminders.” The AI will happily come back with a full plan, a feature list and a pile of code. To get there, it fills every gap with the most likely answer. Who's the app for? It guesses. What's the most important feature? It guesses. Phone or website? Free or paid? Guess, guess, guess. The trouble is that it never tells you it's guessing. It answers in the same calm, confident voice it uses for everything. So you get something that looks finished but sits on a pile of assumptions you never agreed to. That's what “context” means here: everything the AI needs to know to stop guessing. Your goal, your users, your limits, what you've already decided. Give it that, and the answers change completely. There's a popular way of working with AI that people call vibe prompting . You type whatever comes to mind, see what comes back, and nudge it until it looks right. No plan, just vibes. For small things, it works fine. Rewriting an email, brainstorming names, explaining a confusing paragraph. That's also what the Prompt Rulebook https://promptquick.ai/ is for: quick copy-paste rules that make those everyday prompts better. But try to vibe your way from an idea to an actual product, and it falls apart. The AI forgets things you told it an hour earlier. It adds features you never asked for. It contradicts itself between messages. And because nothing is written down, you can't even tell whether the problem is the AI or you changing your mind. The fix is to flip it around. Instead of telling the AI what to build, you let the AI ask you. It's a free prompt from my AI Product Development Toolkit https://github.com/TechNomadCode/AI-Product-Development-Toolkit on GitHub. Its official name is the PRD prompt https://github.com/TechNomadCode/AI-Product-Development-Toolkit/blob/main/prompt-templates/prd-generation/prd-generation.md . PRD stands for Product Requirements Document, which is just a written plan: what you're building, who it's for and what it needs to do. I think of it as the brain-dump interview, because that's what it feels like. | What it is | Use it when | | |---|---|---| | Planning prompts https://github.com/TechNomadCode/AI-Product-Development-Toolkit planning-prompts | Guided prompts that interview you, then write your plan. Any AI chat. | You have an idea and want a solid plan | | AI App Starter https://github.com/TechNomadCode/AI-Product-Development-Toolkit ai-app-starter | A project your coding agent builds with you, step by step, up to launch. | You want to build and launch a web app | | Agent configurations https://github.com/TechNomadCode/AI-Product-Development-Toolkit agent-configurations | Working instructions for Claude Code. | You code with Claude Code every day | The planning prompts and the AI App Starter also install as skills https://github.com/TechNomadCode/AI-Product-Development-Toolkit skills for Claude Code and Codex, with one line, together with a skill that makes short product videos in code. Most prompts tell the AI to write a document straight away, so it fills every gap with guesses. These prompts make it interview you first : You copy it, paste it into a good AI chat tool like ChatGPT, Claude or Gemini, and here's what happens. The prompt has a space where you paste your notes. All of them. Half-sentences, features you're unsure about, problems you've noticed, the thing your friend said over coffee. It doesn't need to be tidy. That's the point. If you're staring at the empty space, run through these: Say you want to make a simple app for your book club. Your brain dump might be four lines: people forget which book we're reading, we never agree on a date, it would be nice to vote on the next book, and maybe share notes. That's plenty to start. This is where it gets different. The prompt tells the AI not to write anything yet. First it has to ask you the one to three most important questions. For the book club, you'd get questions like these: Questions you probably hadn't thought about yet. And every answer you give makes the next question sharper. The prompt also tells the AI to stop and check with you whenever it's about to change topic or interpret something you said. You'll see things like: My understanding is that members vote once a month and the book with the most votes wins. Is that right? This is the part that saves you. A wrong assumption gets caught while it's still one sentence long, not after it has shaped the whole plan. On top of that, the AI has to say its assumptions out loud, ask for numbers where numbers matter “How many members do you expect in the first year?” , and point out when two things you said don't match. Only when you agree that enough has been covered does the AI offer to write the document. It comes out in clear sections: the goals, who it's for, what people need to be able to do, what success looks like, and the questions you still need to answer. For the book club, the goals part might read something like this: Every member knows the current book and the next meeting date without asking in the group chat. The next book is picked by vote within one week, and at least 8 of 10 members vote. Notice the numbers. They came from the interview, when the AI asked what success would look like. A one-line prompt would never have produced them, because the AI had no way to know. It's a draft, not gospel. But it's your draft, built from your answers. And from then on, every AI conversation about the project can start from that document instead of one vague sentence. You don't need to be building a product to use the ideas behind this prompt. Here's what makes it work, and all of it carries over to everyday prompting: That's context engineering in plain English: give the AI what it needs to know, in an order it can handle, and check that it understood you. I want to be straight with you here, because the internet is full of “build an app in 10 minutes with AI” promises. These templates are the opposite of that. They're systematic, and that takes time. The interview can go on for a while, and it will ask questions that make you stop and think. Sometimes you'll realize you don't know the answer yet. That's useful too. If you use the toolkit, be ready for a deep dive. Treat it as a way to think your idea through properly, not as a magic button. The effort is still yours. But the results can be wonderful. You come out with a clear plan, fewer surprises, and an AI that actually understands what you're building. For me, that trade is worth it. One more thing: whatever the AI writes is a draft. Read it, fix it, and leave out private information you wouldn't want to share with an AI tool. The brain-dump interview is where I start, but the toolkit has more prompts that pick up where it leaves off. They all work the same way: the AI asks, you answer, it checks in. They're all free on GitHub https://github.com/TechNomadCode/AI-Product-Development-Toolkit . And if you build with Claude Code, the AI App Starter https://promptquick.ai/blog/ai-app-starter-nextjs-supabase-vercel gives it a step-by-step process from idea to launch. Its first step is this same interview. If there's an idea you keep coming back to, open the PRD prompt, paste in your notes, and let it interview you. Give it an evening. See what comes out. And if you want to get better at the everyday prompts, the quick ones you type ten times a day, that's why I wrote the Prompt Rulebook. The free sample is a good place to start. Originally published on promptquick.ai https://promptquick.ai/blog/turn-ideas-into-products-with-ai .