Azure Logic Apps - Low-Code Workflow Orchestration
Azure Logic Apps is a cloud-based platform for creating and running automated workflows that integrate apps, data, services, and systems …
Integration
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 when you need something more.
Service-Oriented Architecture (SOA)
An architectural style that structures applications as a collection of loosely coupled, interoperable services.
Structured Output - Enforcing JSON and Schema Compliance from LLMs
Techniques for getting reliable, machine-parseable structured output from LLMs: JSON mode, schema enforcement, constrained decoding, and …
Tool Use Pattern - Function Calling for AI Agents
Enabling LLMs to invoke external tools and APIs through function calling, extending model capabilities beyond text generation.
Webhooks
Webhooks are user-defined HTTP callbacks that deliver real-time event notifications between web applications, a term coined by Jeff Lindsay …
API - Application Programming Interface
What an API is, REST vs GraphQL vs gRPC, authentication patterns, rate limiting, and how AI services are accessed through standardized API …
Hybrid Cloud
What hybrid cloud is, why it matters for AI workloads with data gravity and compliance constraints, and AWS hybrid options including FSx for …
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 server/client architecture.
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. When it works and when to …