Descriptions:
Karan Vaidya, CTO of Composio, joins the Cognitive Revolution podcast for an in-depth conversation about building intelligent tooling infrastructure for AI agents. Composio provides access to over 50,000 tools spanning more than 1,000 apps through a single interface — but the more technically interesting story is how it handles the gap between high-level agent intent and reliable tool execution, covering authentication flows, execution sandboxes, logging, and dynamic tool discovery.
One of the most compelling features discussed is Composio’s AI-powered continuous improvement loop: the system monitors tool calls for failures, generates upgraded versions in real time, swaps them into the agent’s context immediately, and gradually propagates successful patterns across the entire customer base. Vaidya also argues that investing in high-quality, well-specified tooling can effectively reduce model lock-in — because all frontier models follow instructions well, thorough instructions can yield equivalent outputs across providers. For remaining gaps, the team is building “meta skills” that translate capabilities between model providers.
The conversation also covers Vaidya’s preferred agent use cases (full jobs rather than discrete tasks), the economics of Composio’s own internal agentic pipeline where token costs now exceed human payroll, and real-world examples including AI agents autonomously managing Gmail archives and running engineering candidate pipelines by analyzing GitHub commit histories.
📺 Source: Cognitive Revolution “How AI Changes Everything” · Published March 22, 2026
🏷️ Format: Interview
