Build an AI Competitive Research Tool With Vercel v0 in mins

Hosted by Mahesh Yadav

Fri, May 8, 2026

4:00 PM UTC (45 minutes)

Virtual (Zoom)

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Agentic AI Product Management Certification
Mahesh Yadav
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What you'll learn

Design Comparison Flow between two companies

Define inputs, states, and layout for side-by-side comparison with clear structure for outputs.

Build MVP UI With V0.dev

Generate a landing page that captures company names, API key, and renders comparison results in a table.

Structure AI Output for Comparison

Design output schema to present facts, metrics, and differences in a clean, scannable format.

Hands on:  Build a No code AI Agent with prompt engineering

You will be able to bring your idea to life using AI agents

Why this topic matters

Competitive research is slow and fragmented. PMs synthesize scattered signals under time pressure and miss patterns. An AI interface structures inputs and surfaces insights fast. Building this MVP shows product thinking, rapid prototyping, and AI use. It strengthens portfolios and demonstrates execution in AI PM interviews.

You'll learn from

Mahesh Yadav

Ex AI Product Lead -Google l Meta l Microsoft l AWS | 10k+ Alums l Founder - Agentic AI Institute

Mahesh Yadav brings 20+ years of experience building AI products at Google, Meta, AWS, Microsoft. He holds 12 patents in AI training, power management and computer vision. He has launched major agentic-AI initiatives (for example launching an agent for AWS Bedrock, featured in CEO keynote) and trained thousands of professionals to succeed in AI roles. With this programme you get rare access to CEO-level of mentorship.
Substack AI PM Newsletter l Linkedin Community of AI PMs l YouTube For Free Sessions Recordings
Currently, he is building back-office AI agents for the enterprise, starting with in-house legal teams through LegalGraph.AI. His work bridges education and real-world AI deployment, helping organizations adopt agentic systems that automate complex knowledge work.

Previously at

Google
Microsoft
Meta
Amazon Web Services
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