Deep lesson

AI Strategy

Separate leverage from novelty.

You should be able to evaluate an AI tool or workflow by business impact, repeatability, risk, and adoption cost.

0% complete

Build an AI workflow scorecard for deciding what deserves daily use.

How it works

AI Strategy as a working system

Use this as a visual map for the topic. Click through the nodes, then explain the relationship between each idea before moving to the videos.

Core concept

Leverage

How much useful output the system creates per unit of human attention.

Concrete exampleLook for this pattern in the ai strategy videos.

Mental model

Understand the system before watching more videos.

Quick reading pass

Read these four ideas as the vocabulary for ai strategy. They are the labels you should use when a video explains a tool, habit, or workflow.

Before pressing play, try to predict where each idea appears in the system. That makes the video active instead of passive.

After each video, rewrite one card in your own words. If you cannot simplify it, the concept is not yours yet.

Leverage

How much useful output the system creates per unit of human attention.

Learning move: pause when this shows up, name it, then write the practical rule it implies.

Repeatability

Whether the workflow can be run again with predictable quality.

Learning move: pause when this shows up, name it, then write the practical rule it implies.

Risk

The cost of bad output: security, brand, legal, operational, or wasted time.

Learning move: pause when this shows up, name it, then write the practical rule it implies.

Adoption

The friction required for the workflow to become a habit.

Learning move: pause when this shows up, name it, then write the practical rule it implies.

Two-video prototype

Study these first. Slowly, actively, and with an artifact at the end.

Video 01

Every Team A Free Employee

Frame agents as labor leverage.

Definition: List where a junior AI teammate helps or hurts.
Read: Pause after the first explanation and restate the core idea in your own words before continuing.
Visualize: Create a simple before-and-after diagram for the workflow described in the video.
Do: Turn the idea into one small artifact: a checklist, sketch, prompt, or implementation note.

Video 02

GStack + GSD + Superpowers

Study workflow stacking.

Definition: Map your capture-decide-build-review flow.
Read: Pause after the first explanation and restate the core idea in your own words before continuing.
Visualize: Create a simple before-and-after diagram for the workflow described in the video.
Do: Turn the idea into one small artifact: a checklist, sketch, prompt, or implementation note.

Put it into practice

Give this prompt to Codex or Claude and make the lesson concrete.

Use this after you understand the lesson and want an agent to help you apply it.

Codex or Claude

Practice AI Strategy with a real artifact

Help me apply the ideas from this lesson: AI Strategy.

Create one practical artifact that proves I understand the topic and can transfer it to real work.

Requirements:
- Start with a short claim table: core idea, why it matters, evidence needed, and confidence.
- Explain the concept in plain English without generic AI hype.
- Build or write a small example I can inspect.
- Include a visual diagram or structured model.
- Include two failure modes this lesson should help me prevent.
- Give me a checklist for using the idea in real work.
- Add a transfer step: what should I do differently in my next Codex, Claude, or agent workflow?
- Verify the result and tell me what to inspect next.

Guided watch sequence

Watch with a job to do.

Every Team A Free Employee

Frame agents as labor leverage.

List where a junior AI teammate helps or hurts.

GStack + GSD + Superpowers

Study workflow stacking.

Map your capture-decide-build-review flow.

Claude Skills Upgrade

Understand reusable capability.

Name three skills worth saving.

Deep read

The ideas you should be able to explain out loud.

Strategy starts with repeated pain

The best AI workflows automate repeated bottlenecks, not one-off curiosities. If the task is rare, unclear, or low-value, automation adds overhead.

Proof checklist0/3 done

How often does this recur?What is the current cost?What improves if it works?

Agents are not free employees

They require management: task definition, review, context, tooling, and quality control. The real question is whether the management cost is lower than the value produced.

Proof checklist0/3 done

Who reviews?What mistakes are costly?What can be delegated safely?

Skills compound

Reusable skills, templates, checklists, and data structures turn isolated successes into systems. This is where small wins become durable leverage.

Proof checklist0/3 done

What should be reused?Where should it live?How will it be updated?

Misconceptions

What to stop believing.

Every new AI tool deserves a trial.

Every tool has integration cost. Start from workflow pain, not novelty.

If an agent can do it once, it is automated.

Automation means repeatable, monitored, recoverable, and reviewable.

Practice studio

Learning only counts when you make something.

Workflow scorecard

Evaluate five AI workflows by value, repeatability, risk, and setup cost.

Ranked table.

Skill backlog

Identify repeated tasks that deserve reusable skills.

Top ten skill candidates.

Adoption plan

Choose one workflow and define the daily trigger that makes it habitual.

Trigger, command, review ritual.

Recall check

Can you answer without rewatching?

Source shelf

Use videos as a doorway, then verify with primary sources.

ReadingY Combinator Librarywww.ycombinator.com/libraryOpen source ReadingOpenAI Businessopenai.com/business/Open source