Ziyad AlruwaishidWatch Recording
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Walk away with a working AI agent and the mental models to build more.
Understand the AI Agent Architecture Stack
Learn the core loop: perceive, reason, act — and how it maps to real product features
See how tools like function calling and memory turn a chatbot into an agent
Build a Working Agent Using Claude and Python
Live-code a task agent that can search, summarize, and take actions
Use tool-use patterns that work in production, not just demos
Write Product Specs That Engineering Can Ship
Translate agent capabilities into PRDs with clear success metrics
Avoid the top 5 spec mistakes PMs make with AI features
Navigate Build vs. Buy Decisions for Agent Infra
Framework for evaluating LangChain, CrewAI, custom builds, and managed APIs
Real cost and latency benchmarks from production deployments
AI agents are moving from research demos to production features faster than most product teams can keep up. Companies like Klarna, Replit, and Notion are shipping agent-powered workflows that replace entire product surfaces.
If you're a PM who can't explain the difference between a chatbot and an agent — or can't write a spec for one — you're already behind. This session gives you the technical literacy and hands-on experience to lead AI product decisions with confidence.
Ziyad has led design teams at some of the most impactful tech companies in Saudi Arabia and the broader MENA region. Starting his career at STC, he quickly rose to lead the UX redesign of their consumer-facing apps, serving over 20 million users.
At Noon, he established the company's first design system, reducing UI inconsistencies by 60% and cutting development time for new features by 40%. His work at Careem focused on the driver experience, where his research-driven approach increased driver satisfaction scores by 25%.
Currently consulting for NEOM's digital experience team, Ziyad brings a unique blend of regional cultural understanding and world-class design practices to every project he touches.
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