Product workflow repository asset
Product Founder OS
A repository for turning vague product ideas into work that can actually be defined, planned, built, adjusted, and reviewed with GPT and Codex.
Current status
Public release available The repository already includes README, SKILL, AGENTS, core docs, examples, and helper scripts.Core workflow
Discover → define → plan → build → adjust → ship It is designed to keep source-of-truth docs aligned with the actual product work.Modes
6 main operating modes Discover, define, plan, build, adjust, and ship are all treated as part of one coherent repository workflow.Repository
Open on GitHub Docs, examples, templates, and scripts are published together as one practical repository asset.Support future maintenance and examples
If this page or repository is useful, you can support future updates, more examples, and continued maintenance.
What it is
product-founder-os is a practical repository asset for product development with GPT and/or Codex.
Its job is not to produce one-shot output and disappear. Its job is to give product work a durable structure:
what you are building, what changed, what comes next, and what is actually done.
AI-assisted product work often breaks in familiar ways. Implementation starts before the product is properly defined. Docs drift away from what is actually being built. Scope changes happen in conversation but never make it into the repository. “Done” gets claimed long before completion is real. This repository exists to reduce that drift by treating files such as project seed, product brief, functional spec, roadmap, current sprint, change requests, and done definition as source-of-truth operating files.
Who it is for
This repository is for people who want to build products with GPT and/or Codex across multiple sessions without losing coherence.
- Solo builders starting from a vague product idea
- People planning a small SaaS or static tool before implementation
- Repositories that already have code but weak product definition
- Projects that need explicit scope handling and change tracking
- Builders who want to know what is truly done and what is still open
It is less suitable if you only want a tiny one-off script immediately, or if you want to skip planning entirely and jump straight into code.
What it does
Turns vague ideas into working product docs
It helps organize project seed, product brief, target user, problem, scope, and non-goals into a usable starting point.
Connects specs to planning
It gives the repository a functional spec, roadmap, task backlog, current sprint, and done definition so implementation has a real baseline.
Makes change visible
change-requests.md makes requirement changes explicit and encourages updating docs before changing implementation direction.
Checks the foundation
Helper scripts can check baseline doc presence, markdown link integrity, placeholder leakage, and malformed code fences.
Modes
Discover
Figure out what should be built and turn that into a usable starting point.
Define
Clarify the product, the user, the problem, the scope, and the intended behavior.
Plan
Turn the current definition into milestones, backlog items, and an executable current sprint.
Build
Move implementation forward against the current sprint while keeping the docs aligned with reality.
Adjust
Handle requirement changes explicitly instead of letting them silently alter the project direction.
Ship
Review whether the current increment is actually complete and whether the handoff or release state is honest.
What’s included
Core instructions
README.md, SKILL.md, AGENTS.md, DISCLAIMER.md, and LICENSE.
Documentation
docs/ covers intake, definition, spec, design, planning, execution, quality, and handoff.
Examples and templates
examples/ contains one worked static-tool example plus lighter SaaS and content-site examples. templates/ provides reusable starting points.
Scripts
create_project_docs.py, check_doc_links.py, validate_foundation.py, and bootstrap_new_product.py.
How to use it
This repository makes the most sense when you treat it as an operating repo, not just a folder of documents.
- Read
README.mdto understand the repository’s role and workflow. - Read
SKILL.mdto see how the assistant is expected to behave. - Read
AGENTS.mdand the current core docs to understand the current product state. - If the product is still undefined, ask what should be built before starting major implementation.
- Update the baseline docs first: project seed, brief, functional spec, roadmap, backlog, current sprint, and done definition.
- Proceed with implementation against
current-sprint.md. - If requirements change, update
change-requests.mdand the source-of-truth docs before changing direction.
If you only want the fastest introduction, start with the README and the worked static-tool example. If you want to use it seriously, go through the validation scripts and bootstrap helper as well.
Bootstrap helper
If you want starter docs for a new product idea, the repository includes a helper script:
python3 scripts/bootstrap_new_product.py "Your Product Name" --one-line "One-line description" --user "target user"
This generates starter files for a seed, brief, functional spec, roadmap, current sprint, and done definition. It is not a finished-product generator. It gives you a usable starting point that still needs real clarification, prioritization, and human review.
Why NicheWorks publishes it
NicheWorks publishes small, practical tools and workflow assets meant to be useful in real work.
product-founder-os fits that line as a repository asset for a common operational problem:
AI-assisted product work that drifts because the product was never clearly defined or kept current.
It is not presented as a magic product generator. It is presented as a useful, durable foundation for keeping product work from collapsing into vague sessions, stale docs, and fake completion.
FAQ
Is Product Founder OS just a prompt collection?
No. It is a repository operating system built around README, SKILL, AGENTS, core docs, examples, and helper scripts.
Can I use it with GPT only?
Yes. Product definition and planning work can be done with GPT alone. Codex becomes especially useful when repository editing and implementation need to continue from the same structure.
Does bootstrap_new_product.py generate a finished product?
No. It generates starter docs only. The result still needs clarification, planning, and human review.
Does this repository guarantee launch success?
No. It provides structure and workflow discipline, not product-market fit, legal guarantees, or security guarantees.
Links
Support this project
If this page or repository helps your workflow, you can support future maintenance, documentation updates, and expanded examples through the links below.
Disclaimer
This page and the linked repository are published for informational and practical workflow purposes. Completeness, suitability for a specific purpose, and product success are not guaranteed. Final product decisions and implementation decisions still require human review.