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AI technical interviews are no longer about theory — they’re about building in real-time.
In this session, we break down how candidates are now expected to use vibe coding, velocity coding, and AI agent tools to solve problems during interviews.
You’ll learn:
What vibe coding vs velocity coding actually means
The new builder stack every AI PM should know
How to approach a live AI case study interview
How to go from prompt → prototype → iteration
What hiring managers really evaluate in AI technical rounds
Common mistakes candidates make (and how to avoid them)
We also walk through a real contract analysis AI case study, showing how to:
Scope the problem correctly
Build an MVP using prompts
Add human-in-the-loop + trust mechanisms
Think about metrics, evaluation, and production readiness
If you're preparing for AI PM / AI Product / Agent-based roles, this session gives you a practical playbook to crack technical rounds.
