X @Avi Chawla

Core Problem & Solution - Agents struggle with unpredictable behavior due to implicit interfaces derived from HTML and UI, leading to unreliable performance in production [1][2] - The industry needs predictable contracts for Agents, which APIs provide through clear rules for requests, responses, and error handling [2] - Standardizing API access, exposing APIs to Agents, and ensuring inspectability are crucial for debugging and monitoring, preventing chaos in the backend [3] Postman's Solution for AI Agents - Postman offers a centralized hub for documented, versioned, and accessible APIs, replacing ad-hoc API discovery [4] - Postman's MCP server exposes APIs directly to Agents, eliminating the need for custom integration code and manual wiring [5] - Postman logs every Agent request with full history, enabling precise debugging by showing what was sent, what was returned, and where failures occurred [5] Key Takeaway - Agents require explicit interfaces (APIs) for reliable behavior, as they understand interfaces, not intent [5] - APIs, when built with the right infrastructure, provide the necessary context for AI Agents to function effectively [6]