I build AI products, product decision systems, and reusable frameworks that help teams make better product decisions.

This GitHub exists to share the working artifacts behind that practice.

Welcome to my Open Product Lab.

This is where I publish the frameworks, templates, decision systems, and reusable product artifacts behind Product OS.

I build products and decision systems across AI, platforms, enterprise SaaS, payments, and growth.

Product OS explains how I think. GitHub shows the reusable assets behind that thinking.

Start with the Executive Brief, continue into Product OS, inspect the flagship repositories, then contact me if the evidence maps to your role.

Suggested GitHub bio:

Lead Product Manager building AI products, product decision systems, and reusable product leadership frameworks.

Suggested profile links:

• Product OS: https://saurabh-product-os.vercel.app
• Executive Brief: https://saurabh-product-os.vercel.app/executive
• LinkedIn: https://www.linkedin.com/in/chawdasaurabh/

Every repository should leave another Product Manager better than they arrived.

That means each public repo should offer something useful: a sharper decision model, a reusable template, a practical framework, or a clearer way to connect customer value, technical choices, and business outcomes.

• AI product decision systems for prioritization, architecture, trust, and measurement.
• Platform strategy artifacts for scalability, reliability, and AI readiness.
• Product Leadership Briefs that document decisions, trade-offs, and outcomes.
• Toolkits and templates that other product teams can reuse.

This is where reusable product assets live.

Use it to inspect the implementation layer behind Product OS: frameworks, templates, examples, documentation systems, and product tools.

🧠 Use this collection to evaluate how I approach AI product opportunities.

Working artifacts focus on opportunity scoring, prioritization, architecture choices, trust, and AI success metrics.

Start here: AI Product Playbook

🏗 Use this collection to understand how I make product decisions under ambiguity.

Working artifacts include Product OS implementation, Product Leadership Brief structures, decision notes, and evidence maps.

Start here: Product Leadership Briefs

🛠 Use this collection to reuse practical product artifacts.

Working artifacts include discovery templates, AI prioritization tools, decision memo templates, and product leadership brief structures.

Start here: Product Discovery Toolkit

Pin repositories in this order once the standalone repositories are public:

1. product-os — Executive Product OS and canonical evidence platform.
2. ai-product-playbook — Practical AI product operating model.
3. product-leadership-briefs — Decision-first product leadership evidence.
4. ai-prioritization-framework — AI opportunity scoring and investment decision model.
5. product-discovery-toolkit — Reusable discovery frameworks and templates.
6. decision-memo-template — Executive product decision communication templates.

Use Product OS social preview assets until repository-specific previews are ready.

Product OS is the executive overview.

GitHub is where the reusable assets live.

Recommended path:

1. Executive Brief
2. Product OS
3. Flagship repositories and reusable artifacts
4. Contact

1. Executive Brief
2. Professional Profile
3. Case Studies
4. Contact

1. Decision Operating System
2. Operating Principles
3. Customer Discovery
4. Validation & Experimentation

1. Logix Product Leadership Brief
2. Build vs Buy AI
3. RAG vs Agent
4. AI Product Playbook

1. AI Product Playbook
2. AI Product Principles
3. AI Prioritization
4. AI Success Metrics

• Product OS: saurabh-product-os.vercel.app
• LinkedIn: linkedin.com/in/chawdasaurabh
• Email: saurabh1chawda@gmail.com

Looking for the executive overview? Start with Product OS.

Looking for reusable product frameworks? Explore the repositories.

Looking to discuss AI Product Management or Product Leadership? Connect on LinkedIn.