AI that listens and responds

Listening first, answering second

There are two kinds of listening AI. One is a voice assistant that answers you live, sentence by sentence. The other listens to a whole class or meeting, keeps what it heard, and answers your questions about it later. This guide is about the second kind, and about using it well.

Questions beat rereading. An hour of lecture runs to thousands of spoken words, and a raw transcript of it is tiring to search. A good question takes you straight to the part you need, and a follow-up question checks whether you understood it.

Questions that work well

After a lecture

• “What did she say the exam will cover?”
• “Explain the part about marginal cost as if I had missed it.”
• “List every definition from today, in the lecturer’s words.”
• “Quiz me on the three causes she gave, one question at a time.”

After a meeting

• “What did we decide about the launch date?”
• “Who took the budget action, and by when?”
• “Which questions were left open?”
• “What changed since last week’s notes?”

Keep the answers tied to what was said

A language model will happily fill a gap with something plausible. These habits keep its answers anchored to the actual session:

1. Tell it to admit gaps: “If the lecture didn’t cover this, say so instead of guessing.”
2. Ask for the exact words on anything you will act on, such as a deadline, a grading rule or a commitment.
3. Separate the record from background knowledge: “Which parts of your answer came from the meeting, and which are general knowledge?”
4. Check against a second record: the slides, the agenda, the chat, or the anchors you wrote during the session.

When the answer is wrong

Wrong answers usually trace back to one of four causes. A term was misheard, so the answer is confidently about the wrong thing. Two people spoke at once, so a statement is attributed to the wrong person. The topic was never discussed, and the model answered from general knowledge. Or the important part was said before the notes started.

Warning signs are details you do not remember hearing, an answer that is tidier than the actual discussion, and exact numbers nobody wrote down. When you spot one, ask where in the notes the answer came from, correct the notes, then ask again.

How Ace handles it

Ace keeps notes from what your computer’s microphone hears, then works from them. Hold Ctrl + Shift on Windows or Command + Shift on a Mac, ask your question, and Ace answers out loud in its own voice; you can type the question instead. Follow-ups such as “shorter” or “give me an example” carry on without starting over, and Ace can quiz you on what it kept. Its AI is hosted, so asking needs an internet connection.

A five-question routine after every class

Asking the same five questions after each session turns a pile of notes into something you can study from, and shows you quickly where the notes are thin:

1. “What were the three main ideas?”
2. “What did the lecturer stress or repeat?”
3. “List the definitions and formulas, exactly as given.”
4. “What is due, and when?”
5. “Which part did the notes capture badly or not at all?”

The last question matters most. An honest gap in the notes is easy to fill from the slides or a classmate; a confident wrong answer is not.

Habits that make the answers better

• In meetings, say decisions and owners out loud; the AI cannot answer from a nod.
• If you are the one presenting, name each new topic as you start it.
• Ask your questions the same day, while you can still judge the answers.
• Keep one set of notes per class or meeting series, and ask about the right one.
• Never forward an answer about a commitment without checking the original wording.

More from Ace

The full overview of talking to Ace is on tryacee.com/talk-to-ai.

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