Mahesh Yadav
Free Lesson

AgenticAI (Zero to Hero): Evals revised with JEV for PMs/Eng

45 min
Oct 16, 2026 12:00 PM

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557 students

What you'll learn

Learn What Jev Does (And Why Evals Matter Most)

Understand Jev’s atomic design: binary decisions, categorical picks, numeric scores.

Case Study: How We Scaled Evals with Jev

Real numbers from production: 91.5% verdict match, 200x cost savings, confidence calibration for automation.

Recognize Jev’s Limits & Where Claude Still Wins

See where Jev stops: no reasoning, no generation, no multi-step thinking. Understand TypeSafe’s credibility gap.

Why this topic matters

Jev has allowed us to re-imagine our AI agent for work and play. Most of the things that agents do requires them to make a decision before any work can be done and Jev has made making decisions cheaper, faster and deterministic (kinda deterministic with confidence). The main call is not that Jev is better than Claude, ChatGPT or Gemini. It is whether you need them for every instance or can use Jev instead and save money and time.

You'll learn from

Mahesh Yadav

Mahesh Yadav

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

GenAI Leader
Google
Amazon Web Services
Microsoft
Meta
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