Braintrust

Braintrust has raised an $80M Series B. We're building the infrastructure that helps teams measure, evaluate, and improve their AI products. Don't take our word for it. Hear how @NotionHQ, @Vercel, @Navan, and @billcom use Braintrust to ship quality AI.

Watch here → braintrustdata.link/AI-engineer-se…

An eval platform is more than just a test runner. Evals require shared definitions of "good," reliable data pipelines, labelling workflows, versioning, and trust in results across many teams and model changes. Hear about the design principles behind Braintrust's platform in this session from @aidotengineer.

Evals course module ten: building a multi-turn chat app. Move from single-turn to multi-turn use-cases by building a chatbot CLI app with production logging. Use init_logger, wrap_openai, and @ traced to capture every conversation as a single trace. More here → braintrustdata.link/evals-course-y…

Evals course module nine: how to analyze your eval results. Learn about the four ways to analyze eval data: experiment comparison, Loop queries, the Braintrust MCP server, and manual filtering in the UI. More here → x.com/braintrust/sta…

Evals 101: a new course from Braintrust. Everything you need to know about evals, and how to do them yourself. Module one: Why are evals important? - the six most common problems developers face when shipping AI applications - why traditional software thinking doesn't apply to AI - how evals can fix these problems

@PLEDalliance Watch here → braintrustdata.link/product-led-su…

For AI PMs, evals are the new PRD. At @PLEDalliance Summit New York, Ameya Bhatawdekar discussed the new product development loop and how to translate every element of a traditional PRD into its eval equivalent.

Join us → braintrustdata.link/evals-101-for-…

If you're building AI products but aren't writing evals, this is the place to start. In Evals for engineers, solutions engineer Doug Guthrie will show you how to: - Instrument an agent with the Braintrust SDK - Look at traces across model calls, tool use, and outputs - Build datasets from failure modes and write scoring functions - Iterate on your prompt and measure quality over time

Braintrust x @Nasdaq Thank you to @wing_vc and congratulations to everyone on this year's Enterprise Tech 30.

Read more → braintrustdata.link/token-timeline…

The timeline view now shows token distribution and cache hit rates across your trace spans. Scale visualizations by tokens or cost instead of duration to diagnose context bloat and optimize LLM spend.