Why the best AI agents are just loops that call functions.

What our customers have taught us about running evals at scale.

Why we built infrastructure for AI products, not just another evaluation tool.

xAI recently announced Grok 4. We put it to the ultimate test.

Brainstore speeds up experiments, datasets, and logs.

Run full evals directly in a powerful editor UI.

Key learnings from the Coursera AI engineering team.

A recap of our technical Q&A hosted by CEO Ankur Goyal.

How we built Braintrust to ensure no impact on downtime.

Brainstore is now the default in both our UI and API. Learn what's changing and coming next.

LLM observability, now 80x faster.

Full support for Bedrock, Vertex AI, and structured outputs in the AI proxy and playground.

Learn to build trusted and scalable LLM apps from the team at Fintool.

Learn scoring best practices from the software engineering team at Loom.

Learn best practices for scoring agentic systems.

The easiest way to self-host Braintrust.

Our year in review.

More visibility into performance across logs and experiments.

How to decide if you should use a new model in production.

How to iterate on AI applications without redeploying code.

Faster, more efficient, and highly accurate for real-world applications.

How we used the uv library to build Python tools.

No server setup or configuration necessary.

Observability for advanced AI applications.

A guide to next steps after your first eval and best practices for your workflows.

Learn how Notion refined their development workflow with Braintrust.

We’re thrilled to announce that we've raised $36 million to advance the future of AI software engineering, bringing our total funding to $45 million.

Introducing functions, a general-purpose primitive for building, evaluating, and observing AI products.

Create custom scorers and access them via the Braintrust UI and API.

We are excited to announce that Braintrust has achieved SOC 2 Type II compliance.

Learn how to improve your evals by identifying new evaluators, iterating on existing scorers, and adding new test cases.

Zapier was one of the earliest adopters of GenAI. In this post, we share insights from Mike Knoop, Co-founder & Head of AI at Zapier.

Key activities that enable fast feedback and clear signal when developing AI features.

Three actionable approaches for engineering teams to get started with automated evaluations.

Learn how to build robust eval feedback loops for AI products by connecting real-world log data to your evals. Discover best practices for structuring evals, flowing production logs into eval datasets, and using Braintrust to streamline the process.

The Enterprise Tech 30 by Wing Venture Capital names the highest potential private companies in enterprise technology.

Liucija, Senior Data Scientist on the AI team @ Hostinger, provides an overview of how she leverages Braintrust to accelerate Hostinger's AI development process and automate over 40% of customer support chat conversations.

Check out your Braintrust 2023 year in review to see how you did this year!

Announcing Braintrust's seed round led by Greylock. The round builds on our early traction with customers like Zapier, Coda, Airtable, and Instacart and allows us to accelerate our vision of building world-class infrastructure for AI products. We are hiring for a number of roles, so please check out our careers page if you are interested in joining us.

The Braintrust AI Proxy is now open source! We also added support for Azure OpenAI and provider load balancing.

Introducing Braintrust's latest feature: an AI proxy that lets you use open source models like LLaMa 2 and Mistral, as well as all of OpenAI's and Anthropic's models, behind a single interface with caching, security, and API key management built in.

Retool recently surveyed over 1,500 workers and how their companies are adopting AI in their State of AI 2023 report. Here's what they are struggling with and how Braintrust can help them.

Building reliable AI apps is hard. It’s easy to build a cool demo but hard to build an AI app that works in production for real users. In traditional software development, there’s a set of best practices like setting up CI/CD and writing tests to make your software robust and easy to build on. But, with LLM apps it’s not obvious how to create these tests or processes.

Function calling and tool support, new blog posts, and project UI improvements.

Perplexity models support, new OpenAI models, reworked diff selector in experiment view.

Resizable sidebar, new help tooltips, performance optimizations, Replit.

Auto input variables in the playground, duration metrics, performance optimizations, partner releases.

Tracing, experiment dashboard customization, text-block prompts, bigger tables, new eval docs.

Performance improvements, fine tuning tutorial, Alpaca Evals, autocomplete in the playground.

Introducing Braintrust: the enterprise-grade stack for building AI products. From evaluations, to prompt playground, to data management, we take uncertainty and tedium out of incorporating AI into your business.