Working with AI

Last revised 5/2/2026

Working with AI

Work with AI without letting AI work you.

AI isn't coming. It's already here. Most people use it poorly — not because they lack access, but because nobody taught them how. Work with AI is built around that gap: sharper mental models, practical techniques, and a clearer understanding of where AI genuinely helps and where it quietly misleads. The best results from AI don't come from better tools — they come from better thinking about how to use them.

Practitioner's ManualPlaybook

Earn8CreditsinArtificial IntelligenceScientific Thinking

9Modules52Sessions569Cards227Quizzes

Modules in this Collection’s System

Hover a module to read it directly

Foundations & Mental Models

Models of what AI is — and isn't — before the first prompt.

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5Sessions

Prompting Mastery

Clear thinking made visible: the techniques behind prompts that actually work.

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7Sessions

Workflow Integration

Where AI fits in the rhythm of your day — and where it doesn't.

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7Sessions

Writing & Content

AI as writing partner, not ghostwriter.

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5Sessions

Analysis & Research

Getting signal, not shorter noise.

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5Sessions

Tools & Platforms

Claude, ChatGPT, Perplexity, NotebookLM, Copilot — choosing by job, not by hype.

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6Sessions

Advanced / Power Users

Custom GPTs, Claude Projects, prompt libraries, multi-agent flows.

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6Sessions

Role-Specific Collections

For marketers, educators, founders, analysts, students, and creatives.

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6Sessions

Strategy & Career

Which skills compound in an AI-augmented career, and which quietly depreciate.

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5Sessions

What You'll Walk Away With

5mental models for thinking with AI, starting before the first prompt
7prompting techniques that reshape output quality
3phases of the draft-critique-own loop
5frameworks for reviewing AI output like a senior editor
4habits that protect your judgment from AI-fluency erosion

You'll Have Answers To

?Why does the quality of your thinking — not the capability of the model — set the ceiling for what AI can do for your work?
?What separates a great prompt from a mediocre one, and why is the difference about thinking, not formatting?
?How do you integrate AI into your daily workflow without becoming dependent on it?
?What mental models help you work with AI as a thinking partner rather than a search engine?
?How do you maintain and sharpen your own judgment when AI makes it easy to skip the hard thinking?

Critical Concepts Explored

AI as Thinking SkillPrompt as Thought ClarifierThe Draft-Critique-Own LoopWorkflow Integration PatternsMental Model for AI PartnershipAI-Fluency ErosionOutput Review DisciplineRole-Specific AI UseJudgment Preservation

Editor's Note

“The first honest field guide to AI for people who refuse to be left behind and refuse to use it badly.”

Starts with mental models before tactics and refuses the prompt-template thinness that defines most AI content. The through-line: the ceiling of what AI can do for your work is set by the clarity of your thinking, not the capability of the model.

Editor's Brief

Who it's for: Knowledge workers, educators, managers, and professionals who use AI daily and know they could be using it better — but are tired of prompt-template content that treats them like beginners.
What stands out: Covers industry literacy, prompting mastery, workflow integration, tool comparison, advanced techniques, and the cognitive disciplines that keep the whole thing honest. Eight distinct pillars in one library.
Read if: You want durable mental models for working with AI — not tricks that will be obsolete the next time a model releases.

Gold Quotes

The ceiling for what AI does for your work is set not by the tool but by the clarity of your thinking.

Better results don't come from a better model. They come from better questions — and a discipline of reviewing output like a senior editor, not an oracle's customer.

About the Curator

WWorking with AI

An editorial channel about working with AI in real knowledge work. Mental models, working disciplines, and the judgment that separates fluent AI users from slightly-faster producers of mediocrity.