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Fundamentals
AI hallucinations explained: why models make things up and how to catch it
What AI hallucinations are, why models invent facts, the situations where it happens most, and a verification checklist to run before anything ships.
How large language models work: the mental model you need
A non-engineer's mental model of large language models: tokens, prediction, training, context windows, why they hallucinate, and reasoning models.
How to use AI at work: a practical operating manual
An operating manual for using AI at work: pick a tool, learn five daily use cases, prompt well, verify output, protect data, and follow a 30-day plan.
What is generative AI? A plain-English explainer for professionals
Generative AI explained in plain English: what it is, how it differs from older software, what it does well, where it fails, and real examples from work.
Prompting
Prompt engineering guide: how to write prompts that get useful answers
Learn the anatomy of a good prompt (role, task, context, format, constraints, examples), how to iterate, and a reusable template you can copy today.
Prompt frameworks that work: RTF, CO-STAR, CRISPE, and when to use each
A plain comparison of popular prompt frameworks (RTF, CO-STAR, CRISPE, Chain of Density, Persona-Task-Format) with worked examples and a decision table.
Tools
AI meeting notes: how to choose a note-taker and get notes you can act on
How to choose an AI note-taker (Otter, Fireflies, Read AI, tl;dv, Zoom, Copilot, Gemini), handle consent, and turn transcripts into notes you can act on.
How to build a custom GPT: a step-by-step guide with an instruction template
Build a custom GPT step by step: pick a repeatable task, write instructions from a template, add knowledge files, test edge cases, share, and maintain it.
How to use ChatGPT at work: setup, ten workflows, and what to avoid
How to use ChatGPT at work: plan setup, data and memory settings, ten workflows with example prompts, files, custom GPTs, Projects, and voice.
How to use Claude at work: Projects, artifacts, files, and privacy settings
A practical guide to Claude at work: privacy setup, Projects and knowledge, artifacts for small tools, file analysis, connectors, and example prompts.
How to use Copilot in Microsoft 365: Word, Excel, PowerPoint, Outlook, and Teams
How to use Microsoft 365 Copilot at work: Copilot Chat with work grounding, Word, Excel, PowerPoint, Outlook, Teams recaps, agents, and limits.
How to use Gemini in Google Workspace: Gmail, Docs, Sheets, Slides, and Meet
How to use Gemini in Google Workspace: Gmail, Docs, Sheets, Slides, and Meet, the Gemini app with Workspace grounding, Gems, NotebookLM, and limits.
Best AI tools for work: a curated shortlist by category
A curated list of AI tools for work by category: chat, writing, meetings, research, slides, automation, data, and coding, plus how to evaluate any tool.
ChatGPT vs Claude vs Gemini vs Copilot: which AI assistant fits your work?
An honest comparison of ChatGPT, Claude, Gemini, and Microsoft Copilot for working professionals: writing, files, research, privacy, and how to choose.
Custom GPTs vs Claude Projects vs Gemini Gems: how to build a reusable AI assistant
What custom GPTs, Claude Projects, and Gemini Gems are, when to build one, how to write instructions that hold up, and how to share and govern them.
Productivity
AI agents at work: what they can do today, where they fail, and how to try one safely
What AI agents can actually do at work in 2026, where they fail, how prompt injection works, and how to try one safely with a human in the loop.
AI for data analysis: get real answers from a CSV without being an analyst
How non-analysts use ChatGPT, Claude, Gemini, and Julius to clean, pivot, chart, and sanity-check a CSV, with the traps to avoid and a worked example.
AI for presentations: from outline to slides without the filler
Using AI for presentations: structure the story, draft slides in Gamma, Copilot, Gemini, or Canva, write speaker notes, tighten the deck, and rehearse.
AI for project management: status reports, RAID logs, and updates that hold up
How project managers use AI for status reports, RAID logs, follow-ups, stakeholder updates, schedule checks, and retros, and what never to delegate.
AI for email and writing: draft faster without sounding like a robot
How to draft, reply, rewrite, and tighten emails with AI while keeping your own voice, with good and bad examples and the workplace etiquette rules.
AI for Excel and spreadsheets: formulas, cleanup, and the never-trust-the-total rule
Use AI to write Excel and Sheets formulas, clean messy data, explain a workbook, and generate Power Query, Apps Script, or VBA, then verify every number.
Automate your workflow with AI: from saved prompts to simple agents
A ladder from saved prompts to Zapier, Make, and n8n automations with an AI step and simple agents, plus when not to automate and how to test safely.
How to summarize documents with AI: PDFs, transcripts, reports, and email threads
A practical method for summarizing long PDFs, transcripts, reports, and email threads with AI: chunking, structured summaries, and omission checks.
Career
AI for small business: where to start when you have no IT department
The five highest-value AI uses for a small business, which tools to pick, customer-privacy basics, a 30-day plan, and what it all costs in general terms.
How to measure AI ROI without fooling yourself
How to measure AI ROI honestly: time saved, quality, cycle time, cost, and error rates, with a simple worksheet and a one-page readout for leadership.
How to run an AI pilot: a manager's plan from two workflows to a decision
A manager's step-by-step AI pilot plan: pick two workflows, set a baseline, choose tools and data rules, train five people, measure two weeks, decide.
How to talk to your boss about AI: making the case for a tool, budget, or pilot
Pitch an AI tool, budget, or pilot to your boss: frame the ask around one task, answer security, cost, quality, and jobs objections, and use the template.
How to AI-proof your career: a level-headed plan
Which tasks AI is likely to absorb, which skills compound in value, how to become the person on your team who knows how to use it, and a 90-day plan.
How to learn AI skills: a 30/60/90-day roadmap for busy professionals
A self-directed roadmap from zero to fluent with AI at work in 90 days: weekly practice, projects to build, free resources, and how to measure progress.
How to put AI skills on your resume (and back them up in the interview)
Describe AI skills credibly on your resume and LinkedIn: outcome-based bullets, before-and-after examples, interview questions, and what not to claim.
Safety
AI and copyright at work: who owns the output and what you can safely use
Who owns AI output, where the training-data lawsuits stand, using generated text and images commercially, what indemnification covers, and a checklist.
AI detectors don't work: what teachers and managers should do instead
Why AI-writing detectors misfire on honest writers, especially non-native speakers, and what teachers and managers should do instead: process, not scores.
AI privacy at work: what happens to what you paste
Where your pasted text goes, how consumer and enterprise AI plans differ, a red/yellow/green data test, and how to ask IT for an approved tool.
How to fact-check AI output: a step-by-step process
A step-by-step process for verifying AI-generated facts, numbers, quotes, code, and citations, with prompts that make the model show sources and doubt.
How to write a team AI policy (with a fill-in template)
A manager's step-by-step for a team AI policy: scope, approved tools, data rules, disclosure, verification duties, IP, training, and a fill-in template.