Research —> Product :) very excited to start rolling out our fine-tuned Trace Judge model built earlier this month with the great @Fireworks…

Research —> Product :) very excited to start rolling out our fine-tuned Trace Judge model built earlier this month with the great @FireworksAI_HQ team there’s a mountain of Agent Improvement gold sitting in everyone’s agent traces, the cheaper & faster you can understand that data, the better feedback you can collect to improve your agents fine-tuning helps us serve + help you build custom, ultra-cheap models to read every single Trace your agents produce to look for Errors, Product Feedback, or really anything you or your company care about. we find that we can do this while matching frontier performance after fine-tuning from there let the experiments begin! ex: tagging data for finetuning, proposing harness engineering experiments Trace understanding applied at scale with models purpose built for your most important tasks if this is interesting please reach out! we’d love to have you try it and talk learn about how we can help you build for your use cases We are starting to role out our Trace Judge model to early partners today Designed to detect errors in agent trajectories at 1/100th of the cost compared to closed models If interested in early access, sign up on the form below: https://airtable.com/appWdRBlSecNOgErA/pagAEfUlHu4F…

Source: Fireworks AI (X) | 2026-06-29