Uploaded August 2026 | Updated September 2026, 1 week ago
Search has always been built for people—but what happens when the user is an AI agent?
In this episode of Ship Happens, host Per Krogslund sits down with Saahil Jain, CTO of You.com, to explore why the next generation of search needs to be designed for machines, not humans. As AI agents become increasingly capable of researching, reasoning, and completing complex tasks, traditional search engines aren't equipped to meet their needs.
Saahil shares how You.com evolved from a consumer search engine into enterprise AI infrastructure powering more than one billion monthly queries. Together, they discuss why search built around human behavior breaks down for AI agents, how enterprises are moving beyond AI experimentation into operational AI, and what it takes to build reliable systems that balance speed, accuracy, and cost.
From evaluation frameworks and multi-model architectures to continuous monitoring and the future of enterprise AI, this conversation offers an inside look at the infrastructure powering the next generation of intelligent software.
What You'll Learn:
• Why traditional search engines weren't designed for AI agents
• How You.com is rethinking search for an agent-first future
• What separates AI adoption from true AI operations
• How enterprises balance cost, latency, and model accuracy
• Why evaluation frameworks are becoming critical AI infrastructure
• The benefits and challenges of multi-model AI architectures
• Why continuous monitoring matters as AI models evolve
• Where the next competitive advantages in AI will come from
If you enjoyed this episode, subscribe to Ship Happens for conversations with the engineers, founders, and technology leaders building the future of software—from AI and platform engineering to cloud infrastructure, security, and developer experience.
Search has always been built for people—but what happens when the user is an AI agent?
In this episode of Ship Happens, host Per Krogslund sits down with Saahil Jain, CTO of You.com, to explore why the next generation of search needs to be designed for machines, not humans. As AI agents become increasingly capable of researching, reasoning, and completing complex tasks, traditional search engines aren't equipped to meet their needs.
Saahil shares how You.com evolved from a consumer search engine into enterprise AI infrastructure powering more than one billion monthly queries. Together, they discuss why search built around human behavior breaks down for AI agents, how enterprises are moving beyond AI experimentation into operational AI, and what it takes to build reliable systems that balance speed, accuracy, and cost.
From evaluation frameworks and multi-model architectures to continuous monitoring and the future of enterprise AI, this conversation offers an inside look at the infrastructure powering the next generation of intelligent software.
What You'll Learn:
• Why traditional search engines weren't designed for AI agents
• How You.com is rethinking search for an agent-first future
• What separates AI adoption from true AI operations
• How enterprises balance cost, latency, and model accuracy
• Why evaluation frameworks are becoming critical AI infrastructure
• The benefits and challenges of multi-model AI architectures
• Why continuous monitoring matters as AI models evolve
• Where the next competitive advantages in AI will come from
If you enjoyed this episode, subscribe to Ship Happens for conversations with the engineers, founders, and technology leaders building the future of software—from AI and platform engineering to cloud infrastructure, security, and developer experience.
