Free Lesson
When Should You Build an AI Agent?
60 min
Sep 22, 2026 12:00 PM
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What you'll learn
Know When You Need an AI Agent
Distinguish prompts, workflows, and agents—and choose the right approach for a real PM task.
Identify agent-ready opportunities
Recognize the tasks, workflows, and product problems that benefit from autonomy, tools, memory, and multi-step reasoning
Evaluate value, feasibility, and risk
Assess whether an agent is worth building based on business value, technical feasibility, complexity, and potential risk
Define the right level of autonomy
Decide what an agent can do independently, where human approval is required, and what should not be automated.
Define Your Agent Opportunity
Leave with one clearly scoped agent use case that you can confidently prototype next.
Why this topic matters
AI agents are everywhere but not every problem needs one.
Before investing time in building an agent, Product Managers need to determine whether the use case truly requires autonomy, tools, memory, and multi-step reasoning, or whether a well-designed prompt, copilot, or automated workflow would work better.
In this Lightning lesson you’ll learn how to evaluate AI opportunities and avoid building an overly complex solution for a simple problem.
