One question seems to come up over and over: "What's your workflow?" I also see people posting questions like, "How do you keep AI from going off the rails?", "Where do you even start?", "How do you organize a project before you start coding?", and "How do you avoid rewriting everything halfway through?" After a lot of experimenting, I finally settled on a workflow that's been producing consistently good results, so I figured I'd share it in case it helps someone else. My workflow is basically: Idea → MVP PRD → AI architecture review → implementation plan → architecture → technical decisions → code. I use my Project Kickstart Kit to drive that process. The biggest difference is I don't jump straight into coding anymore. I spend the time getting the project foundation right first, and the AI becomes much more effective because it has a clear roadmap instead of trying to figure everything out as it goes. I've ended up with better architecture, fewer rewrites, and much more consistent results. TL;DR 💡 Idea → Brain dump the concept and define what problem I'm trying to solve. 📋 MVP PRD → Fully flesh out the product requirements, features, users, goals, and scope until I have a complete blueprint of what I'm building. 🏗️ AI Architecture Review → Have AI act like a senior software architect to challenge assumptions, identify missing requirements, simplify complexity, point out risks, and recommend improvements before any code is written. 🗺️ Implementation Plan → Break the project into logical milestones and small, achievable tasks that can be tackled one step at a time. 🏛️ Architecture → Design how the application will be structured, including folders, database, APIs, authentication, integrations, and how everything fits together. 🧠 Technical Decisions → Document why important architectural choices were made, what alternatives were considered, and the tradeoffs involved so future me (and AI) understands the reasoning. 💻 Implementation → Only after the foundation is in place do I start writing production code. At that point, the AI already understands the product, the roadmap, the architecture, and the reasoning behind it, so coding sessions are much faster and far more consistent.

I'm building a learning app for high school kids and University students but the app falls out, features that not work so I need suggestions and show me what I can add even design a workflow that actually works lastly the design system that actually work and we can give the ai instructions to follow