Rehearse With AI and Cut Filler Words

Reading a talk in your head is not rehearsing. In your head, every sentence is smooth and every joke lands. Out loud, you find the tangled sentences, the parts where you run out of breath, and the "um" you say twelve times a minute.

The good news is you now have a rehearsal partner that never gets bored. In this lesson you will practice out loud, capture what you actually said, and paste it into AI to get honest feedback on clarity, pacing, filler words, and jargon. This is where a rough talk becomes a good one.

What You'll Learn

• How to turn your spoken practice into text AI can review
• Prompts that catch filler words and rambling sentences
• How to fix pacing so you do not rush or drag
• How to strip out jargon your audience will not understand

Step One: Capture What You Actually Say

You cannot fix what you cannot see. So the first step is to get your spoken words into text.

• On your phone: open the voice recorder or notes app and use voice typing. Speak your talk as if the audience is there.
• On a computer: many AI apps now have a voice mode where you can talk and it types back. As of mid-2026, ChatGPT, Google Gemini, and Claude all offer voice features on their mobile apps, and much of this is available on free tiers. Availability can change by plan and over time, so use whatever you have.

The point is not perfect transcription. The point is to see the real words you say when you are not editing yourself. That messy transcript is gold.

Step Two: Get Honest Feedback

Now paste that transcript into AI and ask for a specific review. Vague prompts get vague answers, so be exact about what you want checked.

This is a transcript of me rehearsing a [5-minute] talk out loud
for [audience and occasion]. It is messy because it is spoken.

[paste your transcript]

Review it as a speaking coach. Tell me:
1. Filler words I overuse (um, like, you know, basically) and
   how many times each appears
2. Any sentences that are too long or tangled to say in one breath
3. Places where I ramble or repeat myself
4. My single biggest issue to fix first

Be direct and specific. Quote the exact lines you mean.

You will often be surprised. Most people have one or two filler words they lean on without knowing. Once AI names yours, you will hear yourself doing it, and that awareness alone cuts it in half.

Step Three: Fix Pacing

Pacing is how fast and evenly you move through the talk. Two problems are common: rushing when you are nervous, and cramming too many words into one breath.

A rough guide for a spoken talk is around 130 to 150 words per minute. Faster than that and people struggle to follow, especially if English is their second language too. Ask AI to check:

My talk is meant to run [5] minutes. Based on this transcript,
roughly how long will it take to say at a calm pace? If it is too
long, tell me which parts to cut without losing the core message:
[your core message]. If it is too short, tell me where to add.

Also mark your breathing points. Ask AI to break long sentences into shorter ones you can actually say:

Rewrite any sentence here that is too long to say in one breath.
Break them into short, spoken-friendly sentences. Keep my meaning
and my voice. Do not make it sound like an essay.

Short sentences are easier to say and easier to hear. When in doubt, cut a sentence in two.

Step Four: Strip Out Jargon

Words that feel normal to you may be a wall to your audience. A student presenting to classmates, a new employee presenting to a mixed team, a friend giving a toast to relatives of all ages: each has an audience that does not share your inside vocabulary.

Ask AI to hunt jargon for you:

My audience is [describe them, e.g. classmates who are not
experts / relatives of mixed ages]. Find any word or phrase in
this transcript that they might not understand or that sounds
like jargon. Suggest a plain-English replacement for each.

Impressive words do not make you sound smart in a live talk. Clear words do. If a listener has to stop and decode a term, they miss your next sentence.

Rehearse Again, Then Once More

Feedback only helps if you use it. Make the changes, then rehearse out loud again. Record it again. You should hear the difference: fewer fillers, shorter sentences, cleaner pace. Two or three rounds of this loop will do more for your talk than any amount of silent reading.

Key Takeaways

• Rehearse out loud and capture the words with voice typing or an AI voice feature.
• Paste the transcript into AI and ask specifically about filler words, long sentences, rambling, and jargon.
• Aim for a calm pace of roughly 130 to 150 words per minute and break long sentences into short ones.
• Replace jargon with plain words your actual audience will understand.
• Run the rehearse, review, revise loop two or three times. That loop is where talks get good.