X @Avi Chawla

AI and API Development - 89% of developers use AI daily, but only 24% design APIs with AI agents in mind [2] - Every website and API must be "Agent-ready" to cater to AI agents [1][2] - APIs must be well-documented for AI agents to easily learn and use them, including endpoint discovery, parameter passing, data expectations, and error recovery [3] - Friction, inconsistency, and potential errors are introduced when agents have to infer how an API works [5] Postman's Solution - Postman's Agent Mode automatically generates detailed, contextual, and machine-readable documentation for APIs based on request/response examples and usage patterns [4] - Postman's AI-powered platform allows exploring, debugging, and building APIs using natural language [4] - Postman facilitates the design, documentation, publishing, and monitoring of APIs that can be reliably used by both humans and agents [8] Future Implications - Agents will increasingly handle tasks such as making purchases, finding the best options, and filling out job applications [6] - APIs should have predictable structures, machine-readable metadata, and standardized behavior to be effectively used by agents [7]