Generic AI advice only goes so far. These guides are written for a specific line of work — what's actually useful, and where to be careful.
Last updated: September 2026
Automating routine work, drafting communications, and supporting decisions — without overpromising what it can do.
Where AI genuinely helps clinicians and patients today, and the hard limits it shouldn't be trusted past.
Underwriting, claims processing, and fraud detection — and the regulatory lines that shape how it can be used.
Lesson planning, tutoring, and grading support — and the academic integrity questions it raises.
Recommendations, inventory forecasting, and customer service bots — and where automation can backfire on trust.
Valuation estimates, virtual staging, and lead follow-up — and where local market knowledge still wins.
Contract review and research support — and why every AI-generated citation needs independent verification.
Fraud detection, budgeting tools, and credit modelling — and the fair-lending rules that shape it.
Content drafting, ad targeting, and campaign analysis — and why generic AI copy can hurt more than help.
Résumé screening and onboarding support — and the fairness rules that govern AI use in hiring.
Booking, dynamic pricing, and staffing — and where automation can undercut the personal touch.
Culling, editing, and restoration — and the authenticity questions AI editing raises.
Transcription, rough cuts, and voice fixes — and the honest limits of AI-generated video.
Crop monitoring, yield prediction, and precision spraying — and the cost gap holding back adoption.
Driver assistance, predictive maintenance, and manufacturing QC — and why "self-driving" claims need scrutiny.
Scheduling, site safety monitoring, and design optimisation — and why licensed sign-off still matters.
Code generation, monitoring, and helpdesk support — and why code review matters more, not less.
More field guides are being added to the catalogue regularly.
Not everyone reading this needs AI for a job — here's the guide for daily life instead.
Genuine benefits, real risks, and practical ground rules for children using AI tools.
Using AI to actually learn better, not just finish faster — and the academic integrity line.
Working smarter at your job without violating policy or exposing confidential data.
What's already running quietly through home life, and where to draw privacy lines.