Vibe Workflow is not a prompt dump. It turns a loose product idea into a chain of documents that an AI coding assistant can use: research questions, a PRD, a technical design, and project-specific agent instructions. These examples show what changes at each stage.
"Build me a meal planning app" sounds clear to a human, but it leaves the model guessing about the user, business model, data model, platform, privacy expectations, and what counts as a successful first version. The result is usually broad, generic code with fragile scope.
Vibe Workflow asks for the missing context first. The same idea becomes a constrained build brief for busy families, with launch scope, measurable outcomes, storage choices, and agent rules that keep implementation focused.
Each stage produces a different artifact. The goal is not longer prompts for their own sake; the goal is to remove ambiguity before an AI tool starts writing files.
Research competitors for a recipe app.
Research recipe apps for busy families who plan weekly meals, compare onboarding, pantry tracking, shopping list flows, pricing, and the technical risk of barcode scanning.
Write a PRD for the app.
Write a launch PRD for a family meal planner where the first successful user action is generating a weekly plan and exporting a grocery list in under five minutes.
Choose a stack and build plan.
Design a Vite React + Supabase MVP with recipe search, saved meal plans, household members, grocery list export, and a simple path to mobile later.
Make Cursor rules.
Generate AGENTS.md and Cursor rules that preserve the MVP scope, require accessibility checks for forms, and keep recipe imports behind a service abstraction.
These are the checks behind the templates. They are also useful when reviewing any AI-generated PRD or AGENTS.md file before handing it to a coding assistant.
A prompt improves immediately when it says who the product is for and what result proves the product is useful.
AI agents overbuild when the prompt mixes MVP features, future ideas, and nice-to-have polish into one undifferentiated list.
Budget, platform, auth, storage, accessibility, privacy, and deployment constraints belong in the planning documents, not as corrections after code exists.
Instead of saying "make it premium", specify layout density, interaction expectations, empty states, and what a reviewer should reject.
