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[HIGH POTENTIALS FOR BUSINESS]

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projects/main16.15%
| Scan route handlers explore[done]
Thought for 2.8s
Edit src/api/routes.ts
14export async function handler(req) {
15await rateLimit(req, { max: 100 });
33if (!data.name) throw Error;
33return schema.parse(data);

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QJS

QJS is an enterprise AI platform for reasoning, automation, recruiting, document analysis, multimodal generation, and secure business workflows.

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.

Talk with QJS

Engage in seamless conversations with QJS Voice, experiencing natural, fluid dialogue like never before.

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.

Find meaning with QJS Think

The most powerful version of Qjs. Now available with a QJS4 Heavy subscription on all platforms.

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.

Public beta

We're running a public beta program until the end of 2026. To kick things off, we make an early version of a next-gen model available under the name High Potentials-beta. The model offers function calling, a 128k context length, and system prompt support.

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deep work

Grok can create rich documents, write code, and has

the most real-time search capabilities of any AI model.

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Gain insights from 𝕏 trends, analyzing real-

time data and user sentiment across

industries.

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This is it: The world’s smartest AI, Grok 4, now

available to SuperGrok users.

Try Grok 4 now: https://grok.com

SuperGrok Heavy users will also have access to

Grok 4 Heavy, for your more challenging tasks.

07 Jul, 2025

Understand documents

Condense lengthy documents into concise

summaries, highlighting key points and

actionable findings.

Analyze this document

Through comprehensive document analysis, our

platform identified key trends across 1,245 financial

reports submitted in Q3 2024.

The data revealed a 17% increase in operational

costs year-over-year, primarily driven by supply

chain disruptions and labor shortages.

Revenue growth, however, remained steady at 9%,

with 62% of companies exceeding their projected

earnings. Sector-specific insights showed that

technology and healthcare outperformed other

industries, contributing 28% and 19% to total

revenue, respectively.

Supercharge your code

Receive code guidance, solutions, and best

practices without executing or debugging.

Write a debounce hook in React

javascript

import { useState, useEffect } from

function useDebounce(value, delay

const [debouncedValue, setDebouncedValue] = useState(value);

useEffect(() => {

const timer = setTimeout(() =>

return () => clearTimeout(timer);

}, [value, delay]);

return debouncedValue;

}

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Discover profound insights with Grok Think, connecting

dots and revealing truths in complex ideas.

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Find meaning with

Grok Think

Discover profound insights with Grok Think, connecting

dots and revealing truths in complex ideas.

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