AI Expert

Guided reading library

Articles

Read the clearest practical guides without browsing everything at once. Pick a path, then move from concept to workflow to safer decisions.

Foundation

Build confidence with AI basics, prompting, privacy, hallucinations, and everyday use.
20 articles125 min total
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  1. 1What AI actually is (and isn't): a no-hype primer6 min read
  2. 2Your first hour with ChatGPT: a click-by-click walkthrough6 min read
  3. 3The seven things you can ask ChatGPT on day one6 min read
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Practitioner

Learn workflows for meetings, writing, research, no-code tools, and repeatable business tasks.
22 articles169 min total
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  1. 1The anatomy of a prompt: role, context, task, constraints, format8 min read
  2. 2Stop prompting once: the iterative conversation method8 min read
  3. 3Picking the right model for the job: a 2026 decision cheat sheet7 min read
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Builder

Go deeper into agents, RAG, MCP, structured outputs, evals, APIs, and local AI.
43 articles483 min total
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  1. 1Building reusable prompt libraries: from snippets to shared templates11 min read
  2. 2Multi-tool workflows: combining ChatGPT, Claude, Perplexity, and Notion11 min read
  3. 3Chain-of-thought, self-critique, tree-of-thoughts — when to use each10 min read
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Strategic

Cover governance, EU AI Act readiness, build-vs-buy decisions, ROI, and private AI choices.
11 articles109 min total
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  1. 1Designing a team AI adoption playbook11 min read
  2. 2The AI marketing stack: content, SEO, social on autopilot10 min read
  3. 3The AI sales stack: lead enrichment, personalization, follow-up at scale11 min read
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6 min read

Privacy 101: what ChatGPT remembers, sees, and shares

An honest look at what AI assistants actually do with your data — what is stored, what is used for training, what the privacy settings really mean, and the three changes worth making today.

Decide what work data is safe to share with AI tools and what requires stricter controls.

New to AIAI Safety & Data Privacy
7 min read

The ten AI myths holding you back

The persistent beliefs about AI that keep otherwise sharp adults from even trying it. Each one addressed honestly — with what's true, what's exaggerated, and what to do about it.

Separate realistic AI capability from common myths so adoption decisions are calmer and more accurate.

New to AIChatGPT & LLMs

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