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Never Miss a Point Again

Our AI captures every key idea, decision, and task automatically — so you can stay focused on the discussion, not the typing.

Voice Assitant

Speaker

Transcript

4:20

4:20

Anwar Raza

I’ve been reviewing the AI note summary logic, and I think it’s too focused on individual sentences rather than themes. For example, when someone discusses three points under the same topic, it still breaks them into separate highlights. It looks fragmented in the recap. I’d rather have it group related ideas together — maybe through semantic clustering

4:20

Anwar Raza

I’ve been reviewing the AI note summary logic, and I think it’s too focused on individual sentences rather than themes. For example, when someone discusses three points under the same topic, it still breaks them into separate highlights. It looks fragmented in the recap. I’d rather have it group related ideas together — maybe through semantic clustering

1:05

Sarah

Yeah, I see what you mean. Right now, the summarizer is built to trigger whenever it detects a transition phrase, like “next,” “also,” or “another thing.” It’s good for structure but bad for flow. We can change that by using context windows — say, two minutes of dialogue — and summarize based on meaning overlap rather than sentence boundaries. That way, it understands we’re still under the same topic.

1:05

Sarah

Yeah, I see what you mean. Right now, the summarizer is built to trigger whenever it detects a transition phrase, like “next,” “also,” or “another thing.” It’s good for structure but bad for flow. We can change that by using context windows — say, two minutes of dialogue — and summarize based on meaning overlap rather than sentence boundaries. That way, it understands we’re still under the same topic.

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Never Miss a Point Again

Our AI captures every key idea, decision, and task automatically — so you can stay focused on the discussion, not the typing.

Voice Assitant

Speaker

Transcript

4:20

4:20

Anwar Raza

I’ve been reviewing the AI note summary logic, and I think it’s too focused on individual sentences rather than themes. For example, when someone discusses three points under the same topic, it still breaks them into separate highlights. It looks fragmented in the recap. I’d rather have it group related ideas together — maybe through semantic clustering

4:20

Anwar Raza

I’ve been reviewing the AI note summary logic, and I think it’s too focused on individual sentences rather than themes. For example, when someone discusses three points under the same topic, it still breaks them into separate highlights. It looks fragmented in the recap. I’d rather have it group related ideas together — maybe through semantic clustering

1:05

Sarah

Yeah, I see what you mean. Right now, the summarizer is built to trigger whenever it detects a transition phrase, like “next,” “also,” or “another thing.” It’s good for structure but bad for flow. We can change that by using context windows — say, two minutes of dialogue — and summarize based on meaning overlap rather than sentence boundaries. That way, it understands we’re still under the same topic.

1:05

Sarah

Yeah, I see what you mean. Right now, the summarizer is built to trigger whenever it detects a transition phrase, like “next,” “also,” or “another thing.” It’s good for structure but bad for flow. We can change that by using context windows — say, two minutes of dialogue — and summarize based on meaning overlap rather than sentence boundaries. That way, it understands we’re still under the same topic.

Never Miss a Point Again

Our AI captures every key idea, decision, and task automatically — so you can stay focused on the discussion, not the typing.

Voice Assitant

Speaker

Transcript

4:20

4:20

Anwar Raza

I’ve been reviewing the AI note summary logic, and I think it’s too focused on individual sentences rather than themes. For example, when someone discusses three points under the same topic, it still breaks them into separate highlights. It looks fragmented in the recap. I’d rather have it group related ideas together — maybe through semantic clustering

4:20

Anwar Raza

I’ve been reviewing the AI note summary logic, and I think it’s too focused on individual sentences rather than themes. For example, when someone discusses three points under the same topic, it still breaks them into separate highlights. It looks fragmented in the recap. I’d rather have it group related ideas together — maybe through semantic clustering

1:05

Sarah

Yeah, I see what you mean. Right now, the summarizer is built to trigger whenever it detects a transition phrase, like “next,” “also,” or “another thing.” It’s good for structure but bad for flow. We can change that by using context windows — say, two minutes of dialogue — and summarize based on meaning overlap rather than sentence boundaries. That way, it understands we’re still under the same topic.

1:05

Sarah

Yeah, I see what you mean. Right now, the summarizer is built to trigger whenever it detects a transition phrase, like “next,” “also,” or “another thing.” It’s good for structure but bad for flow. We can change that by using context windows — say, two minutes of dialogue — and summarize based on meaning overlap rather than sentence boundaries. That way, it understands we’re still under the same topic.

Summary

Sarah and Mark discussed improving the AI meeting assistant’s summarization system. Sarah noted that the current model breaks related ideas into separate highlights, making recaps feel fragmented. Mark explained the summarizer’s current logic and suggested using larger context windows to group related topics. They agreed to implement semantic clustering and link summaries to specific time ranges for better interactivity. Mark also proposed adding topic-based color segments on the transcript timeline.

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Never Miss a Point Again

Our AI captures every key idea, decision, and task automatically — so you can stay focused on the discussion, not the typing.

Summary

Sarah and Mark discussed improving the AI meeting assistant’s summarization system. Sarah noted that the current model breaks related ideas into separate highlights, making recaps feel fragmented. Mark explained the summarizer’s current logic and suggested using larger context windows to group related topics. They agreed to implement semantic clustering and link summaries to specific time ranges for better interactivity. Mark also proposed adding topic-based color segments on the transcript timeline.

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Copyright © 2024 – All Right Reserved

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Quick Links

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About

Pricing

Testimonial

Contact Us

High Potentials

High Potentials

Quantum Java Script

Lorem Ipsum

Copyright © 2024 – All Right Reserved

Privacy Policy

Terms & Conditions

Quick Links

Home

About

Pricing

Testimonial

Contact Us

High Potentials