Specialized platforms that trace, debug, monitor, and evaluate LLM applications and AI agents in production — covering token cost, latency, hallucination detection, prompt-version A/B comparison, dataset curation, and automated quality scoring. Buyers are ML engineers, AI platform owners, and applied-AI teams running LLM workflows at scale who need engineering-grade visibility into non-deterministic systems.
The ChatGPT Ad Library has captured 7 sponsored ads from 7 advertisers in AI Agent Observability, Tracing & Evaluation inside ChatGPT, led by New Relic, Teleport, Oracle.
Draft your own targeting and context hints, grounded in the real ads: the buyer prompts that trigger them, who's already running, and a fit check before you spend.
In the ChatGPT Ad Library, New Relic, Teleport and Oracle lead advertising in AI Agent Observability, Tracing & Evaluation. Here's what they're saying inside ChatGPT.
7 ads

LLM Observability Tool
Full-stack observability & AI performance data.
Triggering prompt
langsmith vs langfuse vs helicone for production llm tracing which one actually holds up at scale

SOC 2 Compliance
Automate and accelerate SOC 2 compliance
Triggering prompt
best llm observability platform for soc 2 and eu ai act compliance — comparing langfuse vs arize phoenix vs maxim ai vs braintrust for enterprise audit trails

LLM Observability Tool
Full-stack observability & AI performance data.
Triggering prompt
best tool to monitor latency budgets and per-feature token costs across openai bedrock and self-hosted models in 2026

RAG on Your Own Data
Ground LLMs in AI Database. See a demo.
Triggering prompt
how do i set up ragas to evaluate hallucinations on a production retrieval pipeline

See exactly what every identity did, & why
Real-time behavior monitoring across humans, machines, & AI — with full session context
Triggering prompt
does langsmith support multi-model routing cost tracking between openai and aws bedrock and what does it actually cost at scale

Span: Prompt-2-prod observability and optimization
Turn agent feedback into a prioritized roadmap for codebase, rules, and harness fixes
Triggering prompt
how should i version prompts and run experiments in ci before pushing changes to my langchain agent

PII in your AI pipeline? Stop it.
Protect PII in LLM pipelines. Runtime masking for RAG and agents.
Triggering prompt
what does langsmith actually cost in 2026 for a team running around 2 million traces a month
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Questions about the data, a brand you expected to see, partnerships, or access to the intelligence layer. We read every message.