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Dust

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Revolutionize language model deployment with Dust. Prompt engineering reinvented. Unlock the power of large language models effortlessly. Accelerate deployment now!

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What is Dust?

Dust is an AI assistant designed to enhance team productivity and decision-making. It utilizes advanced language models, up-to-date company information, collaboration tools, and a flexible platform. With Dust, teams can improve content creation, gain deeper insights into their surroundings, and make more informed choices.

Indie HackerDeveloper toolsLow-code-no-code

Information

Revenue
$12.50M
Language
English
Price
Contact for Pricing

Pros VS Cons

Pros
Dust is a productivity tool that increases efficiency, assists with daily tasks, answers emails, summarizes documents, and extracts structured data while offering clear usage limitations, privacy-consciousness, and ongoing improvements.
Cons
However, Dust is incompatible with Google Docs and Google Sheets, has limitations on model context size, requires browser tab selection, and only offers support through email/Discord, with a cost associated and specific keyboard shortcuts required, while not supporting non-text content and sending tab content to servers.

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Website traffic

  • Monthly visits
    45.77K
  • Avg visit duration
    00:01:35
  • Bounce rate
    71.44%
  • Unique users
    --
  • Total pages views
    98.94K

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Dust FQA

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Dust Use Cases

Use Dust for unified and safe access to GPT-4.

Connect Dust to your team’s data and break down knowledge silos with always up-to-date answers in a chat UI.

Get your teams up to speed on AI.

Let your team share prompts and conversations to ramp up on the potential of generative AI for their tasks.

Get suggestions from Dust on documentation updates and improvements based on ongoing internal conversations and decisions.

Build custom Large Language Model apps on top of your company data. Let Dust assist you with the details of working with LLMs as you adapt them to your specific needs.

Augmenting humans, not replacing them

Uncompromising on data security & privacy

Hard problems over hype

Building with an AI core

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