In this episode of the Colaberry AI Podcast, we explore how startup Kashikoi is building a simulation engine to benchmark AI agents by testing them in interactive, real-world-like environments. Instead of relying on prompts and guesses, Kashikoi uses “World Models” to interview agents and analyze their behaviors.
What we cover:
🧪 Why current AI testing methods fall short
🎯 How Kashikoi’s prompt-free evaluation system works
🧠 Deep behavioral analysis using world models
💼 Use cases across industries: smarter benchmarking = better agents
🚀 How this could shape the future of agent development and trust
AI agents are evolving — and so must the way we test them. This episode will reshape how you think about performance metrics in the world of intelligent systems.
📖 Read more:
👉 Kashikoi – YC Launch
🎧 Listen to more episodes at:
👉 Colaberry AI Podcast
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This podcast is for informational and educational purposes only. All sources are credited; listeners are encouraged to explore links and form their own interpretations.
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