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ElevenLabs enters the AI meeting assistant market
Plus: Gemini 4 Hydrogen brings faster answers to Search
Rimsha Bhardwaj, Hasan Toor & Ihtesham Haider
November 14, 2026
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Hello, Prohuman
Today, we will talk about these stories:
ElevenAI wants to handle what happens after meetings
Google Search gets better at complex questions
Insight launches a store for ready-to-use AI agents
The voice-to-text app that built its own speech model
Most dictation apps are a wrapper around someone else's speech model. Wispr Flow trained its own.
It's called Canto, and it was built for the way people actually talk to AI: thinking out loud, changing direction mid-sentence, half-whispering in an open office.
Wispr tested it on 10 hours of real dictations from more than 2,300 speakers. Canto had the lowest word error rate of every model tested, including models from Google, OpenAI, AssemblyAI and Deepgram. That means your prompts to ChatGPT, Claude and Cursor come through the way you said them.
Talk naturally in any app and Wispr Flow types clean, formatted text, 4x faster than typing.
ElevenLabs wants teams to do more with meeting conversations
Image credits: Eleven Labs.
ElevenLabs is moving beyond voice generation and into everyday team workflows.
Its new app, ElevenAI, combines meeting transcription, dictation, and AI agents that can pull information from past conversations and act on it. Still in early preview, the app supports dictation in over 90 languages and lets teams turn meeting notes into follow-up tasks, including draft emails.
The interesting part is what happens afterward.
Most meeting assistants already produce decent summaries, so I think ElevenLabs will have a harder time standing out on transcription quality alone. Its stronger opportunity is helping teams find decisions from weeks-old conversations and complete the routine work that usually follows a meeting.
That could also make ElevenAI attractive to companies already using ElevenLabs, especially if they can avoid paying for another meeting assistant.
The competition is getting crowded. With Fireflies, Granola, and Wispr Flow expanding into similar features, how much room is left for another standalone meeting tool?
Insight wants companies to deploy AI agents in weeks
Companies can now browse AI agents for specific business tasks and have them deployed by Insight.
Insight Enterprises has launched its Agent Store with 15 AI solutions available across 14 countries, covering tasks like contract reviews, customer quotes, and parts ordering. The company says these agents can be deployed in days or weeks, with its own teams handling implementation and ongoing support.
That's a practical approach.
Many companies already know where AI could save employees time, but building reliable agents and connecting them to existing systems takes technical expertise. I think Insight's model could appeal to businesses that want working tools without hiring a dedicated team to develop everything internally.
The interesting detail is that Insight tested these solutions internally or with clients before offering them more widely. That could make adoption easier, although actual results will still depend on each company's systems and processes.
The question is whether ready-made agents can deliver enough value without extensive customization.
Google wants Search to understand how people actually ask questions
Image credits: Google
Google is making Search more capable of handling long, messy questions.
Its new Gemini 4 Hydrogen model is rolling out globally, promising better answers to multi-part queries, specific requests, and even confusing typos. Google says it runs 2.5 times faster than Gemini 3.8 Flash, while also improving how Search finds relevant websites and presents results through images, comparison tables, and structured answers.
That speed matters.
People often type several related questions into one search box, then spend time opening tabs to piece together the information themselves. I think Google's biggest improvement here could be reducing that manual work, especially when someone needs to compare options or research something specific.
There's also a bigger implication for publishers. As Google gets better at answering complicated questions directly, users may have fewer reasons to click through to the websites providing that information.
The question is whether better AI answers will still send meaningful traffic to the sources behind them.
Prohuman team
Covers emerging technology, AI models, and the people building the next layer of the internet. |  Founder |
Writes about how new interfaces, reasoning models, and automation are reshaping human work. |  Founder |
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