# Manual Setup for Product Management with AI(and looking for feedback)
Canonical: https://social-archive.org/bboroughf/LWCIgnCevp
Original URL: https://www.reddit.com/r/ProductManagement/comments/1s0vhng/manual_setup_for_product_management_with_aiand/
Author: Real-Improvement-222
Platform: reddit
## Content
Over the past 12 months I moved almost all my PM work into GitHub repos and Markdown files. Discovery, scoping, prototyping - running through a chat window or terminal. The unlock was maintaining a structured **context folder** per product: codebase, interviews, analytics, docs - all in one place, connected to live sources. When that context is current, every workflow (scoping a feature, synthesizing interviews, drafting a spec) runs fast and produces output I can actually trust. I'm now building a tool that structures and automates exactly this — building the product context and executing PM workflows on top of it. Would love feedback, opinions, pushback. Is this a workflow you recognize? What would make you actually use something like this?