Agentic AI PM Build Session: Getting Started with OpenClaw

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Everyone wants to build Jarvis — the AI assistant from Iron Man.

An assistant that can:
• manage your calendar
• schedule meetings
• automate tasks
• organize your work
• interact with software on your behalf

In this session, Mahesh explains how modern AI agents make this vision possible.

With experience building AI systems at companies like AWS, Google Cloud, and other MAANG companies, Mahesh walks through:
• What AI agents actually are
• How agents automate real workflows
• The difference between chatbots and autonomous agents
• How to design agents for real products
• How product managers can build and evaluate AI systems

You’ll also see a live demo of an AI assistant that behaves like a personal Jarvis.

This session is especially useful for:

• AI Product Managers
• Developers building AI tools
• Founders building AI startups
• Anyone interested in agentic AI

If you’re building with AI, agents are the next major platform shift.

00:00 – The dream of building “Jarvis”
00:40 – What a real AI assistant could do
01:20 – Introduction: Mahesh’s background in AI and product
03:30 – From engineering to AI product management
05:10 – Why automation of back-office work matters
07:20 – Building AI systems at large tech companies
09:10 – Teaching AI and product management
11:00 – Live demo: interacting with an AI agent
14:30 – How agents execute tasks behind the scenes
18:00 – The difference between chatbots and agents
22:10 – How AI agents automate workflows
27:30 – Designing useful AI assistants
33:40 – Building agents for real-world applications
41:00 – Product thinking for AI systems
48:20 – Evaluating whether an AI agent works
55:00 – The future of AI automation
01:02:00 – Building your own AI “Jarvis”
01:08:00 – Closing thoughts

Whether you're a hobbyist or a professional looking to get a grasp on GenAI Product Management, feel free to join our AI PM community for more such sessions

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