Integration

11 articles
What is an API? An API is a contract that defines how two pieces of software talk to each other. Almost every modern app is …Webhooks Webhooks are user-defined HTTP callbacks that deliver real-time event notifications between web applications, …Tool Use Pattern - Function Calling for AI Agents Enabling LLMs to invoke external tools and APIs through function calling, extending model capabilities beyond …Structured Output - Enforcing JSON and Schema Compliance from LLMs Techniques for getting reliable, machine-parseable structured output from LLMs: JSON mode, schema enforcement, …Service-Oriented Architecture (SOA) An architectural style that structures applications as a collection of loosely coupled, interoperable …Direct Model Interface - The Simplest AI Integration Pattern The foundational pattern: user input goes to a model API, model response comes back. When this is enough and …Azure Logic Apps - Low-Code Workflow Orchestration Azure Logic Apps is a cloud-based platform for creating and running automated workflows that integrate apps, …Hybrid Cloud What hybrid cloud is, why it matters for AI workloads with data gravity and compliance constraints, and AWS …API - Application Programming Interface What an API is, REST vs GraphQL vs gRPC, authentication patterns, rate limiting, and how AI services are …Model Context Protocol (MCP) - Universal Tool Interface for AI Agents What the Model Context Protocol is, how it enables AI agents to use tools through a standard interface, and …Using Notion as an AI Backend - Databases, APIs, and Automation Notion API for structured data, MCP integration, and using Notion databases as knowledge stores for AI agents. …