Where AI really helps
Lesson 20 of 23 in the course “AI basics”. Free, with animations and a quiz.
Where AI is strong
Remember: the model continues text using patterns it learned. So it shines where the result is text or code. A draft email, a topic explained before an exam, a short summary of a long article, help with code, a plan for the week. Example: you have a part-time job at an online sneaker shop, and every day dozens of similar questions about delivery come in. AI is great at drafting those replies.
Where a mistake costs a lot
AI is strong at drafts, but it can be confidently wrong. So look at the cost of a mistake. A weak joke in a post: no big deal. A wrong shoe size, a promised refund or a made-up store rule: an angry customer and lost money. Same with medicine, documents and money. Bottom line: the more a mistake costs and the harder it is to spot, the less freedom you give AI.
Helper or boss
If the job still works without AI, AI is a helper: it suggests, and you decide. If everything depends on it, it is the boss, and it has to be far more accurate. AI can also be reactive: it answers only when you ask, like a chat. Or proactive: it offers things on its own, like keyboard suggestions. The trap: a bad suggestion nobody asked for is annoying, so the bar for it is higher.
Crawl, walk, run
AI gets freedom step by step. Crawl: AI suggests a reply to the customer, you read it and decide. Walk: AI writes the reply itself, you check it before sending. Run: AI replies on its own, but only to simple stuff like “where is my order”. You move up when AI has proven itself. Example: you barely edit its delivery replies anymore. Then, and only for that topic, you can give it more freedom.
A demo is easy, reliable is hard
Your first result with AI often takes one evening and looks like magic. But a demo, meaning a showing on a lucky example, is not yet a product that works every time. Next come weird customer questions, made-up answers and rare cases. Rule one: getting from “cool, almost done” to “I can trust this” eats most of the effort. Plan time for it and don’t celebrate too early.
Start with a boring task
The best start is a task that repeats and is easy to check. Lecture notes turned into flashcards, replies to typical messages, a workout plan, a breakdown of your monthly spending. Write one good prompt with a role, a task and a format, save it and reuse it. After a week you’ll see where AI saves you time and where you end up redoing its work anyway.
Check yourself
- At the “crawl” step, who makes the decision?
Correct answer: The person; AI only suggests. At the first step AI only advises, while a person decides and checks. AI gets more freedom once it has proven itself. - A customer reply bot made a cool demo in one evening. What next?
Correct answer: Get ready for a long polish until it is reliable. A good demo shows the best case. Making it work every time takes the most time: rare questions, made-up answers, checks. - Which task is best to start using AI on?
Correct answer: A repeating one where the result is easy to check. On a repeating task you quickly see whether AI saves time, and mistakes are easy to catch. Leave costly, uncheckable tasks for later.