Braintrust
Code generation
Feature requests once sat in backlogs. Now, developers let AI generate working preview branches in minutes for real-time customer review.
- 50% team adoption of Codex within one month
Internal tools took months to build. Now, AI turns recorded brainstorms into specs and code, shipping 2 MVPs weekly.
A digital media platform connecting over 4,000 digital displays across Germany, ranging from shop window screens to the country's largest 3D LED billboard.
Internal development was slowed by clunky processes where even small tools required endless meetings and heavy dependencies. Major infrastructure...
“We wanted to get out of the clunky process where even small internal tools required endless meetings and dependencies.”
Programmatic digital out-of-home advertising network and booking platform.
AI research and deployment company developing generative models and tools.
HYGH's Rapid product development is part of this use case:
Related implementations across industries and use cases
Feature requests once sat in backlogs. Now, developers let AI generate working preview branches in minutes for real-time customer review.
Security fears fragmented AI usage. Now, clear guardrails and automated Slack nudges empower teams to accelerate design and code reviews.
Strategists lost hours rebuilding workflows by hand. Now, a shared AI library shifts focus from mechanical assembly to client strategy.
Feature requests once sat in backlogs. Now, developers let AI generate working preview branches in minutes for real-time customer review.
Designers relied on static mocks and engineering queues. Now they build live apps directly, shrinking 6-month cycles to 8 weeks.
Security fears fragmented AI usage. Now, clear guardrails and automated Slack nudges empower teams to accelerate design and code reviews.
Manually illustrating vintage assets would have tripled production time. Now, a 3-person team uses AI to generate and animate the visuals.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Legacy keyword search failed on typos and vague queries. Now, semantic AI interprets natural language and images to find exact items.
Internal tools took months to build. Now, AI turns recorded brainstorms into specs and code, shipping 2 MVPs weekly.
A digital media platform connecting over 4,000 digital displays across Germany, ranging from shop window screens to the country's largest 3D LED billboard.
Internal development was slowed by clunky processes where even small tools required endless meetings and heavy dependencies. Major infrastructure...
“We wanted to get out of the clunky process where even small internal tools required endless meetings and dependencies.”
Programmatic digital out-of-home advertising network and booking platform.
AI research and deployment company developing generative models and tools.
HYGH's Rapid product development is part of this use case:
Related implementations across industries and use cases
Feature requests once sat in backlogs. Now, developers let AI generate working preview branches in minutes for real-time customer review.
Security fears fragmented AI usage. Now, clear guardrails and automated Slack nudges empower teams to accelerate design and code reviews.
Strategists lost hours rebuilding workflows by hand. Now, a shared AI library shifts focus from mechanical assembly to client strategy.
Feature requests once sat in backlogs. Now, developers let AI generate working preview branches in minutes for real-time customer review.
Designers relied on static mocks and engineering queues. Now they build live apps directly, shrinking 6-month cycles to 8 weeks.
Security fears fragmented AI usage. Now, clear guardrails and automated Slack nudges empower teams to accelerate design and code reviews.
Manually illustrating vintage assets would have tripled production time. Now, a 3-person team uses AI to generate and animate the visuals.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Legacy keyword search failed on typos and vague queries. Now, semantic AI interprets natural language and images to find exact items.