Leverage
How much useful output the system creates per unit of human attention.
Concrete exampleLook for this pattern in the ai strategy videos.
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.
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. Requirements: - Explain the core concept in plain English. - Build or write a small example I can inspect. - Include a visual diagram or structured model. - Give me a checklist for using the idea in real work. - 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.
GStack + GSD + Superpowers
Study workflow stacking.
Claude Skills Upgrade
Understand reusable capability.
Deep read
The ideas you should be able to explain out loud.
01
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
02
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
03
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
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