Product leader · Former CPO, Project A
Founder & growth-minded product manager


Your product knowledge is spread across interviews, documents, tickets and conversations. Making sense of it takes context: what customers need, what the team is working towards, and why a decision was made. Getting AI to help often means gathering that context and explaining it again.
In this live workshop, you’ll build a Product AI Operating System: a personal AI workspace that brings together your context, knowledge, tools and ways of working. Starting from our blueprint, you’ll adapt it to your role and put it to work on a recurring product task, such as synthesising interviews, triaging bugs or preparing stakeholder updates.
Tamer and Zihan will guide you from setup to working skills and automations: a reusable set of instructions that captures your method and quality standards. You’ll test it, improve it, and leave with a working foundation you can use in your daily work, plus a clear next step for extending it.
Build a working Product AI OS for you, with your preferences, extended capabilities and a compounding knowledge base.
Set up your Product AIOS with your product context, priorities and communication preferences.
Reuse that foundation across tasks.
Connect a knowledge source and turn interviews, notes or documents into a knowledge base.
Keep findings linked to their sources so you can check the evidence behind an answer.
Choose a recurring task, define what a good result looks like, and write the steps AI should follow.
Test skills on a second input and improve what falls short.
Learn how to log decisions, refresh knowledge and extend your setup with new skills and routines.
Decide what AI can handle and where your review is needed.
Follow a product task from source to result. Explore context, content, connectors, capabilities and cadence: the five components of a Product AIOS. Choose your task for the day.
Start from the Productbench blueprint and make it yours. Add your role, product, priorities and working preferences, then try your first task with that context in place.
Connect a knowledge source and work with interview transcripts or other product material. See how source documents, synthesised knowledge and a decision log work together.
Choose from tasks like interview synthesis, bug triage or stakeholder updates. Define quality criteria, build your skill, test it on fresh input and refine it with Tamer and Zihan.
Share what worked and where you need better instructions or context. Learn how to maintain your setup, explore useful routines, and leave with a concrete next improvement.

15+ years in product, working with 50+ startups and scale-ups.

5+ years building B2B and B2C products at startups and scale-ups.
Product managers and product leaders who want an AI setup built around their product, priorities, and way of working.
Install either desktop app and activate its Pro subscription before the workshop so you can build your own setup during the session.
Live workshop in English
Join Tamer El-Hawari and Zihan Wang live on Google Meet. Build your own Product AI OS during the session. This workshop will not be recorded.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
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Maven for Teams
Reimbursement
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Everything L&D needs: email template, receipts, and certificate of completion.
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A dedicated cohort with a custom schedule and curriculum, tailored to your team.
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