AI guides
26 practical, original guides — from how AI works to role-specific playbooks for nurses, teachers, marketers, HR and finance teams.
What is generative AI? A plain-English guide for working people
Generative AI explained without jargon: what it is, how it differs from older AI, what it is good at, and where it still needs a human.
How large language models work: tokens, training and prediction
A clear explanation of large language models — tokens, next-word prediction, training, fine-tuning and context windows — and what each means for everyday use.
AI hallucinations: a five-question habit for catching errors
Why AI assistants invent facts and citations, which outputs are most at risk, and a five-question review habit that catches most errors before they cause damage.
Using AI at work without leaking sensitive data
What not to paste into AI tools, how consumer and business plans typically differ, and a quick checklist for reading any AI tool's data policy.
The five-part prompt: a framework that works on any AI assistant
Role, context, task, constraints and format — a repeatable prompt structure with before-and-after examples you can use with any AI assistant.
Few-shot prompting: show the AI what good looks like
How giving one to three examples in your prompt locks in tone, structure and quality — with templates for product descriptions, data extraction and classification.
Prompt chaining: how to handle long or complex work with AI
Break big tasks into a sequence of focused prompts — research, outline, draft, review — to get higher-quality reports, proposals and plans from AI.
How to build a prompt library your team will actually use
A practical system for collecting, naming, testing and sharing your team's best AI prompts so everyone gets expert-level results.
Automate repetitive work with AI: a step-by-step method
Find the tasks worth automating, add AI steps to no-code workflows, keep a human in the loop, and measure the hours you get back.
Using AI with spreadsheets: formulas, cleaning and summaries
Practical ways to use AI assistants for spreadsheet formulas, messy data cleanup, pivot analysis and plain-English summaries — with prompts that work.
An AI meeting-notes workflow that people actually read
Turn recordings or transcripts into decisions, owners and deadlines — plus consent, accuracy and storage rules for AI meeting notes.
How to measure the productivity gains from AI
A simple measurement framework — baseline, time saved, quality, adoption and cost — with a one-page report template for showing AI return on investment.
Retrieval-augmented generation (RAG) explained
How RAG lets AI answer from your own documents: chunking, embeddings, vector search and grounded answers, with design tips and common failure modes.
How to evaluate AI outputs: test sets, rubrics and regression checks
A practical approach to measuring AI quality — building a test set, writing a scoring rubric, using human and automated review, and catching regressions.
An AI adoption roadmap for teams: from curiosity to measurable results
A five-stage roadmap for introducing AI in a team or small organisation — use-case selection, policy, pilot, training, measurement and scale.
How to write a one-page AI use policy (with template)
A practical, plain-language AI acceptable-use policy template covering approved tools, data rules, human review, disclosure and reporting.
AI literacy under the EU AI Act: a practical checklist for organisations
What the EU AI Act's AI-literacy provision asks of organisations that use AI, and a practical checklist for building and documenting staff AI literacy.
AI for nurses and healthcare teams: safe, practical uses
Practical, low-risk ways nurses and healthcare teams can use AI for education, communication and admin — and the patient-safety and privacy lines not to cross.
AI for teachers: lesson planning, differentiation and feedback
How teachers can use AI to plan lessons, differentiate materials, write rubrics and give feedback faster — plus guidance on student privacy and academic integrity.
AI for small business owners: 12 practical uses that save hours
Twelve concrete ways small business owners can use AI for marketing, customer service, admin and planning — with prompts and the mistakes to avoid.
AI for real estate agents: listings, follow-ups and market updates
How real estate agents can use AI to write listings, nurture leads, prepare market updates and save admin time — while staying accurate and compliant.
AI for marketers: research, content and campaign workflows
A practical playbook for marketers using AI for audience research, content production, campaign variants, SEO briefs and reporting — without sounding generic.
AI for HR teams: hiring, onboarding and policy — used responsibly
How HR professionals can use AI for job descriptions, onboarding, policy writing and employee communications, and why AI must not make decisions about people.
AI for accountants and finance teams: where it helps and where it doesn't
Practical AI uses for finance teams — explaining variances, drafting client communications, documenting processes and spreadsheet help — and why calculations stay in your systems.
How to choose an AI assistant for work: a buyer's checklist
A neutral checklist for comparing AI assistants and AI features for work: capabilities, data terms, admin controls, integrations, cost and fit.
How to get your employer to pay for AI training (with email template)
A practical way to ask your manager to fund AI training — the business case, a ready-to-send email template, and how to report results afterwards.
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