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
Prompt iterations rubber-banded: each engineer's fix overcorrected the last. Evals are now a merge requirement—no eval, no commit.
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.
Prompt iterations rubber-banded: each engineer's fix overcorrected the last. Evals are now a merge requirement—no eval, no commit.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
Keyword bots bottlenecked 100 agents supporting millions. Now, AI resolves FAQs, freeing staff to mine chat logs for product feedback.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.
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
Prompt iterations rubber-banded: each engineer's fix overcorrected the last. Evals are now a merge requirement—no eval, no commit.
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.
Prompt iterations rubber-banded: each engineer's fix overcorrected the last. Evals are now a merge requirement—no eval, no commit.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
Keyword bots bottlenecked 100 agents supporting millions. Now, AI resolves FAQs, freeing staff to mine chat logs for product feedback.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.