CommandBar
In-app customer support
Devs depended on user screenshots to spot bugs. Now, automated traces catch retrieval failures without manual checks.
- 44% reduction in support tickets for clients
- 5x increase in test coverage per code change
Engineers manually traced 30 LLM calls per chat. Support staff now tune behavior directly, cutting engineering intervention 90%.
A communication platform enabling small businesses to connect with customers, where internal data shows responding within five minutes drives a 46% higher lead conversion rate.
With 20-30 LLM calls per interaction, engineers struggled to pinpoint why the AI agent failed to recognize conversation endings, resulting in awkward...
AI lead management and communication platform for local businesses.
Framework and developer platform for building LLM-powered applications.
Related implementations across industries and use cases
Devs depended on user screenshots to spot bugs. Now, automated traces catch retrieval failures without manual checks.
Agents were slowed by manual searches. AI now resolves 51% of queries—including refunds—freeing humans for strategic work.
Manual prompt tuning couldn't keep pace. Automated feedback loops now refine models using real-time user comments.
Setup and data analysis held back shops for weeks. AI now runs those workflows, helping merchants land their first sale in days.
Serial testing bottlenecked development. Now, parallelized checks validate hundreds of complex conversation paths in seconds.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.