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.
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.
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