Build AI Agents with Three Fundamentals
A practical framework for designing agent systems around memory, model inference, and the capabilities that make action possible.
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A practical framework for designing agent systems around memory, model inference, and the capabilities that make action possible.
The library
Shorter guides on the parts that decide whether an AI system works: what it's given to read, what it's allowed to do, and how you check it.
Working definitions of artificial intelligence and AI agents, the corrections those definitions usually need, and what an agent can and cannot do.
A plain-language account of what an AI model is made of, where it came from, what it does when you use it, and the vocabulary that comes with it.
A concise preflight checklist for deciding whether an agent idea has the context, capabilities, and controls needed to become a real system.
A compact mental model for understanding what an AI agent is, what it can do, and where its behavior comes from.