Free Lesson

Build Spec-Based Apps not Vibes (For PMs & Growth Leaders)

Part of Build and Ship with Claude Code: The Builder Path

Hosted by Mahesh Yadav

Fri, Jul 3, 2026

4:00 PM UTC (45 minutes)

Virtual (Zoom)

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268 students

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

Write Product Briefs That Control Your Build

Learn to write product briefs that prevent feature creep, align teams, and guide builders toward core value, not vibes.

Define Success Metrics Before You Build

Know your core metric, track what drives it, measure real impact, & guide teams toward products that work, not guesses.

Align Your Team Around Shared Product Strategy

Keep your team aligned: create a PRODUCT.md with vision, user, core metric, constraints, & status.

Ship Validated Products in 3 Weeks Not Months

Go from idea to validated product in three weeks: write spec, build MVP, test with users, measure metric, then scale.

Why this topic matters

Most PMs ship on vibes: fast but unfocused, measuring engagement instead of impact. Spec-based building solves this. You define core metrics upfront. You write product briefs that align teams and guide builders. You measure what matters. You ship focused products that move revenue. Speed is expected. Strategy is rare. Learn to build strategically. Learn to align teams. Learn to measure impact.

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
Meta
Amazon Web Services
Microsoft
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