Editorial library

Learn to use AI for real work.

A practical library organized around four pillars: fundamentals, methods, use cases, and advanced systems. Explore by pillar, profession, or problem.

Showing 20 articles

Strategy

AI for small businesses: where to start

A practical guide to choosing a first task, testing safely, and turning an experiment into a repeatable process.

Fundamentals

Why your ChatGPT answers are generic

Find the missing context that turns mediocre outputs into reliable work.

Methods

The Before/After Method

Compare work without AI and with AI to see where the method creates real value.

Methods

The Ladder Rule: break tasks down

Decompose complex work into smaller steps to reduce confusion and improve precision.

Fundamentals

Is ChatGPT making things up?

Use documents and anchors to keep AI grounded in facts.

Advanced

The AI that asks before answering

A meta-prompt that detects missing context before producing an answer.

Use cases

ChatGPT in personal life

Use AI to organize finances, travel, studies, and everyday decisions.

Use cases

5 prompts to save time

Ready-to-use templates for reducing repetitive work.

Fundamentals

The truth about AI experts

Separate real practice from recycled content.

Advanced

Multi-agent workflows without code

Chain specialized steps to turn complex tasks into a working flow.

Fundamentals

Markdown: the language every AI uses

Understand the formatting that structures AI answers and learn to read it.

Fundamentals

Why does ChatGPT use `#` and `**`?

Read headings, lists, bold text, and quotes without losing the thread.

Use cases

3 ways to reuse AI answers

Turn ChatGPT answers into clean, reusable documents.

Use cases

AI for lawyers

Contract review, case law research, and drafting.

Use cases

AI for marketing

Campaigns, copywriting, competitive analysis, and reporting.

Use cases

AI for managers

Spreadsheet analysis, executive reports, and data-driven decisions.

Use cases

AI for interviews and résumé

Practice interviews, improve your résumé, and prepare your LinkedIn profile.

Meet the Markdown learning path.

A short sequence: understand the language, decode the symbols, and reuse AI answers in your work.

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