New On-Demand Course: AI Agent-Driven Product Workflows

The AI delegation playbook for product professionals

A 60-minute, on-demand course that teaches product professionals to match the right AI delegation model to each task, brief agents to deliver reliably, and scale that work to the team. It builds the precision that separates teams winning with AI from teams just using more of it.

$199  •  Self-paced  •  1 hour  •  Instant access

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You're using AI, but you're still doing all the work.

Woman looking worried at a laptop screen

If you're a product manager, designer, or engineer, you already use AI every day. You ask a question, you get an answer, and you move on. Your process works, until one day it doesn't.

You use the same prompts but get different results. AI is delivering outputs that sound confident, yet lead nowhere. And here’s the uncomfortable question: If an AI agent produced the wrong result, would you know whether you caused it?

The quiet cost adds up. AI can now plan, execute, and deliver whole pieces of work, but most product professionals still use one mode for all of it—the conversation. You supervise every step because you have no reliable way to hand off work and walk away. The speed is real, but capped. 

The teams pulling ahead aren't using more AI. They're using the right kind at the right time.

What You'll Learn

After 60 minutes, you'll have four things you can use the same day:

Typing hands with overlaid graphic showing connection between prompting, AI, and generating

1

Match the right delegation model to the work.

Tell copilots, agents, and agentic AI apart by where oversight and accountability live. And know on sight whether a task calls for continuous judgment, a bounded handoff, or a full, multi-step workflow.

2

Build a context workspace that makes AI output domain-specific.

Set up a persistent, three-layer workspace (domain, strategic, and task) so your AI stops starting cold and produces work that reads like it came from a well-briefed colleague.

3

Write an agent brief you can hand off and trust.

Use the six elements that turn an ephemeral prompt into a delegation spec built for accountability: role, goal, context, constraints, success criteria, and escalation triggers.

4

Scale the value beyond yourself.

See the two paths forward: Turning your individual workflow into a shared team system, and designing agent-powered products for customers. Then decide which is your highest-leverage next step.

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Who Should Take This Course

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This is for you if you're a product manager who already leans on AI

to draft, summarize, and analyze, but you apply the same prompting to everything and suspect you're leaving speed and value on the table.

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This is for you if you're a designer or product engineer

who can see the potential of agents that could automate parts of your workflow, like accessibility findings, refactor analysis, and research synthesis. But you haven't made it systematic and want a repeatable way to hand off bounded work.

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This isn't for you if you're looking for a hands-on technical course

on building, fine-tuning, or deploying agent systems in code. This course teaches delegation and orchestration literacy for product professionals: choosing the model, engineering the context, and writing the brief. It is not an engineering build.

$199  •  Self-paced

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How the course works

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1

Enroll

to get instant access at $199. Start the course on your own schedule—no cohort, no deadlines, no time pressure.

2

Complete the course

by moving through a short opening and four focused lessons in about 60 minutes, built more on doing than watching. You'll match modes to real product tasks, audit your AI context, and work a decision simulation where you fix a broken agent brief. Knowledge checks with feedback keep each concept honest.

3

Apply it Monday morning

by picking one recurring task you handle with ad hoc prompts. Fill in all six elements of the Agent Brief Template, run it, and tighten the elements that need it.

AI agent fluency is the new professional standard

The skill gap here isn't prompting. Plenty of product professionals prompt well. The gap is everything that happens when you step away from the keyboard, when the agent runs without you there to catch the mistake. That's a different kind of communication, and a different kind of accountability. Learn it once, and you stop supervising AI and start directing it.

Self-paced  •  Bring your own Model  •  Earn a completion badge

Enroll Now—instant access for $199
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