Practical, sourced guides to AI agents: how they work, where they help and how businesses can build sustainable services around them. Start with the foundations, explore a real workflow problem, then examine the commercial model and its costs.
Choose your starting point
AI Agent Foundations — architecture, tools, evaluation, permissions and reliable operations.
AI Agent Use Cases — bounded workflows for customer service, operations, sales and knowledge work.
AI Agent Business Models — service design, pricing, delivery costs and evidence behind commercial claims.
Start here
What Makes an AI Agent Different from a Workflow? explains the decision that matters before choosing a tool: who controls the next step?
How to read these guides
Technical and company claims link to their sources. Hypothetical examples and suggested business models are labeled rather than presented as customer results. Revenue is not profit, vendor case studies are not guarantees, and every workflow needs appropriate permission and human oversight. AI-generated images are conceptual illustrations.
