Day 24: Get smarter summaries by telling AI what to look for.

Generic summaries are usually generic because the request was generic.

Summarize this. Recap this. What happened here?

That gets you a broad blur.

A better move is to tell AI what matters before it summarizes.

Try this:

"Summarize this for me, but prioritize decisions, risks, open questions, deadlines, and anything that changes what I should do next."

Now the model has a filter.

You can swap in whatever matters for the job:

customer objections
product commitments
budget changes
blockers
surprising data points

The summary gets better when the criteria get sharper.

Do not just ask for shorter. Ask for signal.

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Day 36: Let AI list the hidden steps in any task so nothing gets forgotten.

Many tasks feel simple until you start and realize parts are missing. AI can help by naming the small steps that often get skipped. This keeps work moving without extra stops. Pick one task you do often. Tell AI what it is and ask for the steps people usually miss.

Day 35: Use AI to prepare three good questions before any meeting.

Meetings feel more useful when you arrive with clear questions. AI can help you shape those questions from the meeting topic or agenda in just a few minutes. Start by pasting the meeting title or any notes you have into the chat. Then ask AI to suggest three questions that

Day 34: Let AI point out the three most confusing parts of your draft.

Writing often feels clear to the person who wrote it. A fresh set of eyes helps, and AI can act like a friendly reader who flags trouble spots without judgment. Start by pasting your draft into the chat. Add a short note such as, "Please list the three most

Day 33: Ask AI to list the pros and cons of any option you are considering.

When you face a choice it helps to see both sides clearly. AI can do that work for you in seconds. Start by stating the option in plain words. Then ask for a simple list of good points and not so good points. Keep the request short so the answer