AI for business · Explainer

Train AI like a new starter

Beginner · Published 2026-10-04 · Reviewed 2026-10-05

Tools
Multi-tool
Audience
Managers and small-business operators
Topic
AI for business
An open planner with pens on a desk
An open planner with pens on a desk

You’ll finish with: a reusable project context pack and a check that the assistant follows it.

Treat AI like a new starter who has useful skills but has not attended your meetings. Give it a short job brief, current reference files and a clear way to ask about gaps. It does not need the entire company drive on day one.

Set up

Allow 25 minutes. Use a project-capable app, or practise with a single pasted context document. Project availability and file limits depend on the account.

Download this guide’s practice sheet ↓

Try this example

FICTIONAL PRACTICE MATERIAL
Context pack: business sells workshop tickets; public tone is friendly and concise; current venue is Room B; capacity is 12; refunds are handled by Jo; AI may draft replies but cannot approve refunds.

Do the task

  1. Create a small context file with stable facts, source dates and clear limits.
  2. Add it to a project if supported and ask a question that depends on it.
  3. Start a fresh project chat to test retrieval, rather than assuming the first answer proves persistence.

Your reusable prompt

Using the context pack, draft a reply to someone asking for 15 tickets and a guaranteed refund. Explain what is known, what exceeds capacity and what Jo must decide.

PRACTICE INPUT
Context pack: business sells workshop tickets; public tone is friendly and concise; current venue is Room B; capacity is 12; refunds are handled by Jo; AI may draft replies but cannot approve refunds.

Refine your result

Point to the context fact supporting each part of the reply. If the project file was unavailable, say so instead of claiming you read it.

Check the result

Room B holds 12, so 15 tickets cannot be promised for one session. Refund authority remains with Jo. Stored instructions guide responses; they do not train new model weights.

Save and reuse

Save the context file with its checked date. Update the source when a business fact changes.