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Intelligent Agents

An agent is a model placed inside a loop with tools, memory, and goals. The interesting engineering is everything around the model: how it is instructed, what it is allowed to touch, how it remembers, and how you know it did the right thing. This topic treats agents as information systems rather than magic.

Questions this topic answers

  • 01

    What does an agent need to know about the world, and how is that knowledge represented?

  • 02

    How do you design tool contracts an agent can use reliably?

  • 03

    What belongs in short-term state, long-term memory, and the knowledge layer?

  • 04

    How do you instruct an agent the way you would train a new colleague?

Guides on Intelligent Agents

  • Intelligent AgentsComing soon

    Agent Memory and State

    What an agent should remember, for how long, where that memory lives, and how it stays consistent with the knowledge layer.

    Reading time
    1 h 50 min read
    Level
    Advanced
    Price
    $39
  • Intelligent AgentsComing soon

    Instructional Design for AI Agents

    Applying instructional design to how agents are briefed: objectives, scaffolding, worked examples, and assessment instead of ever-longer prompts.

    Reading time
    1 h 40 min read
    Level
    Foundations
    Price
    $34
Other topicsAI Architecture Ontologies Knowledge Graphs AI Infrastructure Data Modeling