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Module
Module 1 of 7Lesson 1 of 1~3 min

Course overview

This course is for Product Managers who need to scope an AI agent without getting carried away by the hype. You learn to decide whether an agent is justified, then design its tools, its loop, its human approvals, its security and its evaluation. You leave with the complete agent dossier for a real use case in your product.

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Lesson objective

By the end of this overview, you will know what you are going to produce (the agent dossier of a real case: decision, tool cards, loop, approvals, mitigations, evaluation) and in what order the six modules get you there.

Topics covered

  • AI agents
  • tool calling
  • agent design
  • Product Manager
  • agent evaluation

Where it fits

Overview

What will I design in this course, and in what order?

Lessons in this module

  1. Course overview (this lesson)

What you will learn in the course

This lesson is part of the course Design reliable agents and tool calling

  • Decide, with explicit criteria, whether a use case calls for a single call, a workflow or an agent, and choose the right pattern.
  • Write tool cards the model uses well (name, description, parameters, return, errors, idempotency, risk level).
  • Specify an agent's loop (goal, context, stop conditions, budgets, error handling) and judge whether an orchestrator and subagents are warranted.
  • Place human approval points and an agent's permissions according to the blast radius of each action.
  • Identify prompt-injection paths through tool outputs and specify structural mitigations that do not rely on the prompt alone.
  • Specify the trace of a run and the evaluation of an agent (task success, trajectory, cost, latency, consistency over several trials).

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