Guide
Getting Useful Help from AI
Give an assistant enough information, improve a request, and decide whether the result helps.
Making Sense of AI · Part 5 of 8
Updated · 3 min read
https://greglum.com/learn/getting-help-from-ai
Start with a task where you can recognize a useful result: shorten a notice, organize a list, or draft a paragraph. An assistant gives you something to work on. You still get to decide whether it helped.
You do not need special commands. Name the job, give the relevant information, and describe the result you want. Then read the answer before asking for changes.
Consider this fictional notice, written for this lesson:
"Book swap: Saturday, November 14, from 10 a.m. to noon at the community hall. Bring up to 5 books. Entry is free. Children must come with an adult."
"Make this better" leaves a lot open. Better for whom? Shorter, friendlier, or more detailed? A more useful request would be:
"Turn this notice into a short invitation for a neighborhood group. Keep the date, time, location, book limit, cost, and rule for children. Use only the information provided. Do not add arrangements that the notice does not mention."
That request gives the assistant a purpose, source material, and boundaries. Those boundaries make checking easier. They do not guarantee that the assistant will follow every instruction.
Read the draft against the original. Did "up to 5" become "at least 5"? Did the rule about children survive? Did refreshments appear somewhere along the way? A friendly invitation can become a different event if you let the details drift.
You can ask for a specific revision: "Keep the adult requirement. Shorten the introduction to one sentence." You can also ask it to point out missing information, such as whether people need to register. Missing information should become a question for the organizer.
OpenAI's ChatGPT fundamentals describes starting with a request and refining it through follow-up questions. It is a vendor's product guide, with workplace examples. The same conversational approach can help with ordinary tasks, without adopting its business scenarios.
Useful starting points include rewriting your own nonprivate paragraph, organizing a fictional packing list, or explaining an unfamiliar term in simpler words. Ask for alternatives when there is no single right answer: "Give me 3 possible titles and explain how their tones differ."
For a simple calculation, a calculator may be easier to check. For an event's opening time, the organizer's current notice is the better authority. For a difficult personal decision, a conversation with someone who knows the situation may provide context an assistant lacks.
An assistant can help you prepare questions for those sources. A polished answer does not remove the need to consult them. OpenAI's truthfulness guidance acknowledges incorrect information and invented references, even in confident responses.
Try improving this fictional request before reading the example below: "Help me pack."
The traveler is taking a 2-night train trip, has one small bag, and can wash clothes at the destination. They want a short packing list, not shopping recommendations. What would you tell the assistant?
One possible request: "Suggest a packing list for a 2-night train trip with one small bag. I can wash clothes there. Group the list by purpose, avoid shopping recommendations, and ask me about anything that would change your suggestions."
This gives the assistant a task, limits, and a useful format. Weather, planned activities, and access needs are still unknown. A list with hiking boots and evening wear might fit someone else's weekend perfectly. Ask for the missing details before treating the list as yours.
For a real task, try a different setting: organize your own nonprivate study notes, compare ideas for a volunteer meeting, or rewrite a message in a clearer tone. Decide what a helpful result would look like first. You can assess a draft against that goal without accepting every suggestion.