Webinar: Building LLM Evals You Can Actually Trust

Development teams building with generative AI face a critical challenge: how do you consistently measure quality and iterate with confidence? The answer lies in well-crafted evaluation suites. Join our webinar and learn how to build metrics that accurately reflect your use cases and business priorities through specific, comprehensive and precise evaluations.

What You'll Learn:

Techniques for building targeted evals that catch specific issues
How to review production data to uncover problems
Ask us about AI product development best practices
Step-by-step testing/tuning cycle to improve both features and evals
How to gather human-labeled ground truth data and use it to build fine-tuned evaluator models

We missed you on Weds Apr 23, 2025!

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You'll Hear From:

Jeremy Silva, Product Lead

Jeremy Silva, Product Lead

Morgan Cox, Forward Deployed AI Engineer

Morgan Cox, Forward Deployed AI Engineer

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AI teams ship faster with Freeplay

  • "Freeplay transformed what used to feel like black-box ‘vibe-prompting’ into a disciplined, testable workflow for our AI team. Today we ship and iterate on AI features with real confidence about how any change will impact hundreds of thousands of customers."

    Ian Chan

    VP of Engineering at Postscript

  • "At Maze, we've learned great customer experiences come through intentional testing & iteration. Freeplay is building the tools companies like ours need to nail the details with AI."

    Jonathan Widawski

    CEO & Co-founder at Maze

  • "The time we’re saving right now from using Freeplay is invaluable. It’s the first time in a long time we’ve released an LLM feature a month ahead of time."

    Luis Morales

    VP of Engineering at Help Scout

  • "As soon as we integrated Freeplay, our pace of iteration and the efficiency of prompt improvements jumped—easily a 10× change. Now everyone on the team participates, and the out-of-the-box product-market fit for updating prompts, editing them, and switching models has been phenomenal."

    Michael Ducker

    CEO & Co-founder at Blaide

  • "Even for an experienced SWE, the world of evals & LLM observability can feel foreign. Freeplay made it easy to bridge the gap. Thorough docs, accessible SDKs & incredible support engineers made it easy to onboard & deploy – and ensure our complex prompts work the way they should."

    Justin Reidy

    Founder & CEO at Kestrel

AI teams ship faster with Freeplay

"Freeplay transformed what used to feel like black-box ‘vibe-prompting’ into a disciplined, testable workflow for our AI team. Today we ship and iterate on AI features with real confidence about how any change will impact hundreds of thousands of customers."

Ian Chan

VP of Engineering at Postscript

"At Maze, we've learned great customer experiences come through intentional testing & iteration. Freeplay is building the tools companies like ours need to nail the details with AI."

Jonathan Widawski

CEO & Co-founder at Maze

"The time we’re saving right now from using Freeplay is invaluable. It’s the first time in a long time we’ve released an LLM feature a month ahead of time."

Luis Morales

VP of Engineering at Help Scout

"As soon as we integrated Freeplay, our pace of iteration and the efficiency of prompt improvements jumped—easily a 10× change. Now everyone on the team participates, and the out-of-the-box product-market fit for updating prompts, editing them, and switching models has been phenomenal."

Michael Ducker

CEO & Co-founder at Blaide

"Even for an experienced SWE, the world of evals & LLM observability can feel foreign. Freeplay made it easy to bridge the gap. Thorough docs, accessible SDKs & incredible support engineers made it easy to onboard & deploy – and ensure our complex prompts work the way they should."

Justin Reidy

Founder & CEO at Kestrel

AI teams ship faster with Freeplay

  • "Freeplay transformed what used to feel like black-box ‘vibe-prompting’ into a disciplined, testable workflow for our AI team. Today we ship and iterate on AI features with real confidence about how any change will impact hundreds of thousands of customers."

    Ian Chan

    VP of Engineering at Postscript

  • "At Maze, we've learned great customer experiences come through intentional testing & iteration. Freeplay is building the tools companies like ours need to nail the details with AI."

    Jonathan Widawski

    CEO & Co-founder at Maze

  • "The time we’re saving right now from using Freeplay is invaluable. It’s the first time in a long time we’ve released an LLM feature a month ahead of time."

    Luis Morales

    VP of Engineering at Help Scout

  • "As soon as we integrated Freeplay, our pace of iteration and the efficiency of prompt improvements jumped—easily a 10× change. Now everyone on the team participates, and the out-of-the-box product-market fit for updating prompts, editing them, and switching models has been phenomenal."

    Michael Ducker

    CEO & Co-founder at Blaide

  • "Even for an experienced SWE, the world of evals & LLM observability can feel foreign. Freeplay made it easy to bridge the gap. Thorough docs, accessible SDKs & incredible support engineers made it easy to onboard & deploy – and ensure our complex prompts work the way they should."

    Justin Reidy

    Founder & CEO at Kestrel

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