AI Eval Course for Product Builders

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AI Eval Course for Product Builders

Inspired by a conversation on:

Lenny's Podcast: Product | Career | Growth

Lenny's Podcast: Product | Career | Growth

Why AI evals are the hottest new skill for product builders | Hamel Husain & Shreya Shankar (creators of the #1 eval course)

Host: Lenny Rachitsky

Timestamp: 00:00:00 - 00:03:05

Listen to Episode • View Podcast • All Ideas from Lenny's Podcast: Product | Career | Growth

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Direct Quote

"Hamel and Shreya have played a major role in shifting evals from being an obscure, mysterious subject to one of the most necessary skills for AI product builders."

Market Gap

Product builders struggle to systematically measure AI application quality.

AI product builders often lack a structured approach to evaluate the performance of their applications, which leads to inefficiencies and potential failures. Without proper evaluation methods, these builders may rely on guesswork or subjective measures, resulting in products that do not meet user needs or expectations. Existing solutions may not provide the depth of analysis required for complex AI applications, leaving product teams without the tools they need to iterate effectively and improve their offerings. This issue is exacerbated by the dynamic nature of AI and its applications, making it crucial to establish a reliable, systematic evaluation process.

Summary

The AI Eval Course designed by Hamel and Shreya offers a structured framework for product builders to learn how to evaluate their AI applications effectively. The course covers essential techniques such as error analysis, open coding, and axial coding, aimed at helping participants create actionable evaluations of their products. By utilizing these methods, builders can gain critical insights into their applications, identify areas for improvement, and ensure their products meet user requirements. The course has already trained over 2,000 product managers and engineers, demonstrating its demand and effectiveness in the industry.

Categorization

Business Model
Content
Target Founder
Subject Matter Expert
Difficulty
Medium
Time to Revenue
< 1 month
Initial Investment
< $100

Potential MRR (18-24 months)

Conservative
$1,000 - $3,000 MRR
Moderate (Most Likely)
$5,000 - $10,000 MRR
Optimistic
$15,000 - $25,000 MRR

* Estimates assume solo founder/bootstrap scenario with competent execution

Scores

Clarity
9/10
Novelty
8/10
Feasibility
9/10
Market Potential
8/10
Evidence
9/10
Overall
8.2/10
Found on September 25, 2025 • Analyzed on September 25, 2025 12:30 PM

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How should I validate this content idea before building it?

2:34 PM

Great question! For a content idea like this, I'd recommend starting with these validation steps:

  1. Customer interviews: Talk to Subject Matter Expert to understand their pain points
  2. MVP approach: Build a simple landing page to test demand
  3. Competitor analysis: Research existing solutions and identify gaps

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2:35 PM

Yes, and what about the technical implementation? Should I build this myself or hire a team?

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Based on your idea's complexity and < 1 month, here's my recommendation:

Technical Strategy:

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  • Consider your technical background and available < $100
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I can help you create a detailed technical roadmap and resource allocation plan...

2:37 PM

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