The real difference between a model, a harness, and a scaffold — and why it matters more than which AI you use
Why the same model can feel completely different depending on the product it's running inside (Claude vs. Claude Code vs. Cowork)
You've probably nodded along in at least one meeting or LinkedIn post where someone said "harness" or "agent" like it was obvious, while quietly wondering if you missed a memo. You didn't — most PMs are in the same boat. This free 45-minute live session breaks down exactly what a harness, a scaffold, and an agent actually are, why the same AI model can behave completely differently depending on the product it's running inside, and how to ask sharper questions the next time someone on your team wants to ship an AI feature. It's live, it's free, and it's the fastest, lowest-commitment way to find out if the full AI Product Builder Bootcamp is worth your time — before you decide anything.
No prior AI or technical experience needed — just curiosity
A laptop or phone with a stable internet connection
The session will be conducted in Arabic, so basic Arabic comprehension is helpful
Come with your real questions — there's a live Q&A at the end
Dorra Mlouhi is a product leader, Product Management instructor, and startup advisor with over 11 years of experience building and scaling digital products across global B2B and B2C markets. With a background in computer science engineering, she combines deep technical expertise with strategic thinking, leadership, and storytelling to solve complex, human-centered challenges.
She has held product leadership roles at Amazon Web Services (AWS), Trivago, and Tesco, where she led high-impact initiatives that translated advanced technologies into scalable, customer-centric solutions. As an AI-forward product leader, Dorra actively explores and experiments with emerging AI capabilities to reimagine how products are designed, built, and delivered.
Currently, she serves as a Product Leader at AWS and is the co-founder of Rituals.pm, a community dedicated to empowering the next generation of product professionals through practical frameworks, mentorship, and continuous learning.