The Context Company Launches: Catch Silent AI Failures Before They Break Production
The Context Company recently launched!
"Observability for your AI agents in just 10 lines of code."
The Ask
- If you’re building with Vercel AI SDK, LangChain, or LangGraph, use The Context Company for observability.
- Setup takes just a few lines - DM them on Bookface or Slack, or email the founders here, and they will personally onboard you in 15 minutes.
- Not using those frameworks yet? Tell them what you’re building with, and they will add support fast.
Founded by Rohil Agarwal & Arman Kumaraswamy
Arman and Rohil have been best friends since 6th grade (8+ years now!).
Arman optimized the public-facing AI agent at Mintlify, where he cut failure rates by 82%, and worked with enterprise design partners to build custom agents. Rohil worked on Gmail Intelligence at Google, reducing hallucinations in intent detection by 27% across 26B+ daily emails.

The Problem
AI agents often fail quietly. Traditional observability tools only show latency or stack traces. They miss the silent layer of failures that happen inside reasoning steps or tool calls.
Most teams end up waiting until users report issues, and by then, it’s already too late. As a developer, they know you’ve been there scrolling through endless logs, trying to piece together what an agent actually did and why it failed (because trust them, they have too 🙏🏽).
The team is rethinking observability from the ground up and making silent failures a first-class primitive in agent monitoring.
Their Solution
Instead of just visualizing traces, they analyze them and detect reasoning breakdowns across runs. In addition to traditional metrics like latency, cost, and token usage, The Context Company surfaces failures in a clean, developer-friendly dashboard.

And they have gone beyond the cloud:
You can now run their developer package locally to debug traces on your machine, even when you’re offline or iterating fast.

Their Progress
- Framework support: Vercel AI SDK, LangChain, and LangGraph.
- Instant setup: <10 lines of code - no refactoring or modifying your agent needed. This is what it looks like:

- Local debugging: Run observability locally on your laptop for real-time trace analysis.
- Dashboards: Full visibility into agent runs, tool calls, latency, costs, and semantic failures.
P.S. Even if you’re not using AI SDK, LangChain, or LangGraph, they are adding support for other frameworks soon. Tell them what you need 😎


Learn More
🌐 Visit www.thecontext.company to learn more.
⭐ If you’re building with Vercel AI SDK, LangChain, or LangGraph, use The Context Company for observability.
🤝 Setup takes just a few lines - DM them on Bookface or Slack, or email the founders here, and they will personally onboard you in 15 minutes.
💭 Not using those frameworks yet? Tell them what you’re building with, and they will add support fast.
👣 Follow The Context Company on LinkedIn & X.
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