LangChain shows how Rillet uses LangSmith to monitor AI agents across 500+ customers
LangChain · x · 2026-07-24
LangChain spotlights how Rillet uses LangSmith to debug and improve AI agents
LangChain highlighted Rillet, an AI-native ERP for mid-market and public companies, as a startup customer using LangSmith as its observability layer.
- Rillet says it serves 500+ customers across AI, software, biotech, services, fintech, and more.
- The team uses LangSmith to monitor and analyze agents and to surface inefficiencies in their behavior.
- LangChain framed the post as a Startups Spotlight and linked to a demo request.
More from coding & agent
- Efficient Podcast Workflow: From Recording to Instant Publishing — vista8 · 2026-07-24
- Compound Engineering Launches `/ce-pov` Skill for Multi-Model Grounded Answers — danshipper · 2026-07-24
- Codex users can enable realtime conversation with a config.toml flag — rudrank · 2026-07-24
- ChatGPT Voice on desktop becomes a planning mode that turns ideas into Codex tasks — jxnlco · 2026-07-24
- Dev Rant: If AI Coding Agents Mess Up, Why Are We Paying for the Tokens? — larumis · 2026-07-24
- An agent’s hardcoded fallback prompt rotted for eight months and misled customers — Illustrious-Second-7 · 2026-07-24