Do not hit generate first: use a shot list for AI short videos
A practical AI short-video workflow: one CTA, shot list, continuity card, captions, review and outcome tracking.
2026-08-20AI TUTORIALS
Learn tools by doing real tasks
Practical tutorials with steps, examples, prompts and pitfalls—not generic tool roundups.
Do not ask AI for ten social posts first: build a content calendar you can review
A practical social-content workflow: audience questions, evidence, channel adaptation, approval and seven-day review.
2026-08-19Do not give a supplier spreadsheet straight to AI: a practical product-import cleanup workflow
A controlled workflow for turning supplier spreadsheets into import-ready product data: schema, mappings, SKU review, AI constraints and batch testing.
2026-08-16Do not send every website form to sales: build a deduplicated AI lead workflow with n8n
A practical lead workflow for small teams: validate form data, deduplicate, create a factual AI brief, assign an owner and handle failures.
2026-08-13Do not let AI invent support replies: build reviewable reply components from real tickets
Support macros are not one block of standard wording copied everywhere. Build components from real tickets, conditions, boundaries and next steps so AI can draft faster without making false promises.
2026-08-12Do not summarise an interview transcript too soon: find decisions, disagreements and missing evidence
Interview transcripts mix small talk, hypotheses and real decisions. A generic summary loses the disagreement and follow-up information that actually affects the next piece of work.
2026-08-10Do not ask AI to summarise a long PDF: extract an actionable brief with source evidence
A generic PDF summary often misses the condition in a table, appendix, or footnote. Define the decision first, require page evidence, and turn the result into an action table.
2026-08-04Do not prompt product images one by one: set asset rules before using AI at scale
AI product images often change colour, proportion, background or product details from one frame to the next. Separate fixed product facts from variable scene rules before generating at scale.
2026-08-03Do not ask AI for weekly-report insights first: lock the metrics and definitions
The main problem with weekly reports is not slow writing. It is that “growth” can mean different things to different people. Freeze a metric brief, separate facts from hypotheses, then let AI structure the report.
2026-07-31Do not compare contract versions by eye: use AI to locate changes, not to give legal advice
The meaningful change between contract v3 and v4 may be one word in a payment date, renewal clause, or liability cap. AI can locate and structure differences, but it cannot replace legal judgement.
2026-07-28Do not ask AI for a sales-call summary: separate actions, risk, and CRM updates
A fluent AI meeting summary does not tell a sales team what to do next. This workflow extracts commitments, objections, facts to verify and evidence-based CRM updates from a sales call.
2026-07-27Do not just follow the top comment: turn social comments into an AI-assisted topic map
Comment sections mix praise, jokes, purchase questions, real obstacles and off-topic debate. Feeding them all into AI produces vague “insights.” This workflow finds topics that are repeated, verifiable and genuinely answerable.
2026-07-21Do not let AI invent your product claims: build an evidence sheet before writing ecommerce copy
AI can turn a few specifications into polished product copy, and just as easily invent benefits, materials and promises. An evidence sheet keeps each claim reviewable before you generate a page in modules.
2026-07-20Do not send your whole UI file to AI: build a glossary before localising a product
UI translation problems are rarely grammar errors. They come from inconsistent names for the same button, feature or billing term. Build a glossary, translate in reviewable batches, and validate in the product.
2026-07-15Track competitor pricing with AI without letting it make the conclusion
Competitor pricing research fails when plan names, billing units and promotions are mixed together. Build a traceable price ledger, use AI for extraction and comparison, and keep the final judgement human.
2026-07-13Use AI for PRDs by turning feedback into testable requirements
AI can help organize feedback, draft PRDs and review acceptance criteria, but only if you keep evidence, define scope and make requirements testable.
2026-07-07Before launching an AI support bot, build a knowledge-base test set
Do not launch an AI support bot just because the demo looks good. Build boundaries, a clean knowledge base and a 60-question test set first.
2026-07-06AI spreadsheet cleanup workflow: clean data without overwriting the truth
A practical workflow for cleaning sales leads, feedback, operations logs and content spreadsheets with AI: field dictionaries, text cleanup, formulas, duplicate flags and sampling.
2026-07-03