Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
A leading cloud storage platform developing a universal search tool that retrieves and organizes work across all of a user's connected applications.
Behind the search interface runs a complex chain of retrieval and inference steps where a single prompt tweak can ripple unpredictably to cause...
“With Braintrust, our science fiction writer can sit down, see something he doesn't like, test against it very quickly, and deploy his change to production. That's pretty remarkable.”
Cloud storage, file sharing, and collaboration platform for teams and individuals.
AI observability and evaluation platform that helps developers build, test, and monitor LLM-powered applications.
Dropbox's Model evaluation is part of this use case:
Related implementations across industries and use cases
Teams couldn't manually review hundreds of daily AI hotel calls. Audio models now evaluate raw recordings, routing exceptions to humans.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Intimidating spreadsheets caused rushed evaluations. Now, a guided Claude app pulls Jira tickets to help engineers write concrete reviews.
Fragile data pipelines bottlenecked engineers. Now, built-in workflows let teams ship internal AI tools without managing infrastructure.
Building a compliant bot took 512 hours. A unified framework cuts that to 64, launching agents with just 50 lines of code.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
A leading cloud storage platform developing a universal search tool that retrieves and organizes work across all of a user's connected applications.
Behind the search interface runs a complex chain of retrieval and inference steps where a single prompt tweak can ripple unpredictably to cause...
“With Braintrust, our science fiction writer can sit down, see something he doesn't like, test against it very quickly, and deploy his change to production. That's pretty remarkable.”
Cloud storage, file sharing, and collaboration platform for teams and individuals.
AI observability and evaluation platform that helps developers build, test, and monitor LLM-powered applications.
Dropbox's Model evaluation is part of this use case:
Related implementations across industries and use cases
Teams couldn't manually review hundreds of daily AI hotel calls. Audio models now evaluate raw recordings, routing exceptions to humans.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Intimidating spreadsheets caused rushed evaluations. Now, a guided Claude app pulls Jira tickets to help engineers write concrete reviews.
Fragile data pipelines bottlenecked engineers. Now, built-in workflows let teams ship internal AI tools without managing infrastructure.
Building a compliant bot took 512 hours. A unified framework cuts that to 64, launching agents with just 50 lines of code.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.