How a 2-Person AI Team Can Outlearn a 2,000-Person Company

Hosted by Aishwarya Srinivasan & Arvind Narayan and Praneet Dutta

Sun, Aug 23, 2026

5:00 PM UTC (1 hour)

Virtual (Zoom)

Free to join

Invite your network

Go deeper with a course

Building a career in AI as a non-coder
Aishwarya Srinivasan
View syllabus

What you'll learn

Build a Compounding Intelligence Advantage

Learn why decision history and organizational memory can become a stronger moat than access to better models.

Turn Business Context Into an AI Superpower

See how agents can use living context about your customers, decisions and workflows to make better moves.

Create Faster Observe-Decide-Act Loops

Learn how small teams can use AI to shorten the cycle from insight to action to learning.

Operate Like a Team 100x Your Size

See how agents, memory and context can give tiny teams capabilities once reserved for large organizations.

Why this topic matters

Powerful AI models are rapidly becoming accessible to everyone. The real advantage will come from how quickly your team learns. This session explores how agents, living business context and compounding memory can help small teams make better decisions, move faster and build an intelligence advantage that grows over time.

You'll learn from

Aishwarya Srinivasan & Arvind Narayan

AI Engineers | Building & Teaching @ The Gen Academy

Aishwarya Srinivasan is the co-founder of The Gen Academy and one of the world's most recognized AI educators, with a community of over 1.2 million AI professionals across social platforms. Previously, she led AI Developer Relations at Fireworks AI and spent over a decade building AI products and ecosystems at Google, Microsoft, and IBM. She holds a Master's in Data Science from Columbia University. Known for breaking down complex AI concepts with clarity and honesty, Aishwarya teaches builders how to move beyond demos and develop production-ready AI systems that solve real business problems.


Arvind Narayanamurthy is the Co-founder of The Gen Academy, Previously AI Solutions Architect at Ema, and Founder of Eikos Health. He has built and deployed enterprise AI systems across Microsoft, IBM, Adobe, and high-growth startups, leading initiatives that translated machine learning into measurable business impact. Arvind holds a Master's degree from Carnegie Mellon University. His teaching focuses on first-principles thinking, practical engineering, and helping builders design, evaluate, and deploy reliable AI systems for production.

Praneet Dutta

Co-founder and CEO of Pomo

Praneet Dutta is the Co-founder and CEO of Pomo, an AI-native platform helping teams turn market intelligence into faster decisions and execution. Previously, he spent nearly a decade at Google, including Google DeepMind, working on machine learning and generative AI, with contributions spanning technologies such as Gemini and image generation systems. He is now focused on how AI agents, memory, and context can enable small teams to operate with the intelligence and speed of much larger organizations.

See all products from Aish & Arvind

Sign up to join this lesson

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