Free Lesson

Developing Customer Sense as an AI-native Builder

Part of From customer sense to building solo with AI

Hosted by Gayathri Keerthana (GK) Shanmuga Sundaram

Wed, Jul 29, 2026

3:00 PM UTC (45 minutes)

Virtual (Zoom)

Free to join

Invite your network

Go deeper with a course

The Product Builder Certification: From Vibe Coding to Spec Engineering
Gayathri Keerthana (GK)
View syllabus

What you'll learn

Know what to build before you spend a token on it

Work backwards from real customer needs from every available source before going into AI generated/ synthetic user data

Build your own Customer Sense Evals

Apply the error-analysis method used on LLM pipelines to reviews, tickets, and interview notes.

Encode your findings into testable eval criteria

Walk out with pass/fail checks, grounded in real anecdotes, that your build must pass in session two.

Run a Customer Signal Audit on your current projects

Leave with a one-page audit that shows exactly where you have been trusting a proxy.

Catch a sycophantic AI before it shapes your roadmap

Divert the model from agreeing with you and point it towards what matters to your customers

Why this topic matters

One of the things AI can't replace is Customer Sense. Each layer, from customer research to production, launders the raw signal a little more. The expensive mistakes start there, when a confident model or a synthetic user gets treated as a real person. This session gives you ways to keep your customers at the center while building with AI, so your output is actually useful to them and not sloppy.

You'll learn from

Gayathri Keerthana (GK) Shanmuga Sundaram

Built by ex-Amazon: ML PM & an ex-VP | Lenny Featured Lightning Lesson

Most people stick to one thing. I've been managing to experiment with three:

  • teaching professionals to raise the bar while working with AI
  • helping businesses automate their workflows
  • running a speciality coffee brand in the UK


This is possible because of a rather uncommon mix of experiences I packed in just over a decade:

  • Senior PM in a $7.2B Amazon business unit, leading ML and econometric models that moved the needle on delivery experience.
  • Ops Manager at an Amazon robotics site: 300-person team, 250K+ shipments per night.
  • MBA from ESADE (ranked #7 by FT), Social Impact Scholarship.
  • Led marketing at SaaS unicorns: inbound, virality, demand gen, the whole shebang.
  • Founded a non-profit in rural India at 19, ran it for five years, won state-level awards.

See what people say about my teaching.

Explore more resources from me.



See all products from Level Up With AI

Sign up to join this lesson

By continuing, you agree to Maven's Terms and Privacy Policy.