Resources

Practical guides to the concepts and technologies behind modern AI automation.

What is an AI Agent?

Understanding autonomous AI systems that can reason, plan, and take actions to accomplish goals.

How structured, multi-step automated processes move data through AI models and business logic.

Data and AI pipelines that process, transform, and route information through sequential stages.

When to use deterministic workflows versus autonomous agents — and how to combine them.

The open standard for connecting AI models to external tools, data sources, and business systems.

How Model Context Protocol differs from traditional API integrations and when to use each.

Coordinating complex multi-step AI processes with error handling, branching, and parallel execution.

Comparing managed cloud AI services with self-hosted deployments for control, cost, and compliance.