Tracking spend for 300M AI agent runs was a black box. Real-time tracing now lets finance pinpoint costs and update pricing within hours.
A go-to-market platform powering outbound sales motions for startups and large enterprises, executing 300 million multi-step AI agent runs per month.
The diversity of free-form natural language inputs made production quality fundamentally unpredictable across different customer workspaces....
“LangSmith feels like a platform built by people who have actually built an agent framework. That really shines through in how it handles nested subagents and tool call paths.”
AI platform for automated lead enrichment and sales prospecting.
Framework and developer platform for building LLM-powered applications.
Clay's Agent monitoring is part of this use case:
Related implementations across industries and use cases
Engineers traced alerts one by one. An agent now runs hundreds of parallel checks to pinpoint root causes.
Engineers lacked visibility into a slow AI agent. Rebuilt low-level tracing exposed critical bottlenecks and accelerated LLM responses.
Black-box AI logic hid costly retry loops. Granular traces exposed redundant tool calls, enabling engineers to optimize agent reasoning.
Engineers lacked visibility into a slow AI agent. Rebuilt low-level tracing exposed critical bottlenecks and accelerated LLM responses.
Black-box AI logic hid costly retry loops. Granular traces exposed redundant tool calls, enabling engineers to optimize agent reasoning.
Serial testing bottlenecked development. Now, parallelized checks validate hundreds of complex conversation paths in seconds.
A solo operator was firefighting volume. AI now resolves 50k monthly inquiries, freeing humans to handle complex enterprise cases.
Protecting users from harmful on-device AI required internet. A powerful safety AI now runs directly on the PC, guarding users even when offline.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Tracking spend for 300M AI agent runs was a black box. Real-time tracing now lets finance pinpoint costs and update pricing within hours.
A go-to-market platform powering outbound sales motions for startups and large enterprises, executing 300 million multi-step AI agent runs per month.
The diversity of free-form natural language inputs made production quality fundamentally unpredictable across different customer workspaces....
“LangSmith feels like a platform built by people who have actually built an agent framework. That really shines through in how it handles nested subagents and tool call paths.”
AI platform for automated lead enrichment and sales prospecting.
Framework and developer platform for building LLM-powered applications.
Clay's Agent monitoring is part of this use case:
Related implementations across industries and use cases
Engineers traced alerts one by one. An agent now runs hundreds of parallel checks to pinpoint root causes.
Engineers lacked visibility into a slow AI agent. Rebuilt low-level tracing exposed critical bottlenecks and accelerated LLM responses.
Black-box AI logic hid costly retry loops. Granular traces exposed redundant tool calls, enabling engineers to optimize agent reasoning.
Engineers lacked visibility into a slow AI agent. Rebuilt low-level tracing exposed critical bottlenecks and accelerated LLM responses.
Black-box AI logic hid costly retry loops. Granular traces exposed redundant tool calls, enabling engineers to optimize agent reasoning.
Serial testing bottlenecked development. Now, parallelized checks validate hundreds of complex conversation paths in seconds.
A solo operator was firefighting volume. AI now resolves 50k monthly inquiries, freeing humans to handle complex enterprise cases.
Protecting users from harmful on-device AI required internet. A powerful safety AI now runs directly on the PC, guarding users even when offline.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.