
Blog
Learn more about Dust, get product updates, AI agents best practices and more.

Boost Customer Satisfaction with Custom AI agents
Based on our experience rolling out Dust agents to augment our users’ customer service teams, we’ve compiled below some best practices to serve this use case...

Announcing our seed round
Dust is an AI-native company based in Paris, France. We’re excited to share that we’ve raised €5M in seed funding led by Sequoia Capital with participation...

Speculative sampling: LLMs writing a lot faster using other LLMs
Behind the beautiful name of Speculative sampling lies a neat technique to have a large language model generate tokens up to three times faster 🔥 The...

A first version of our Product Constitution
The opportunity opened by Large Language Models (LLMs) is vast. It’s allowed the birth of Dust, an AI-native company that wants to make work “work better” for...

Why work doesn’t work
Information overload is a millenia-old challenge that's only been amplified by digital technology. With Large Language Models (LLMs), we can leverage...
Further reading
- Top Gemini Enterprise alternatives for teams building AI agents (2026)February 26, 2026
- AI agents in finance: How financial institutions are working differentlyFebruary 26, 2026
- How to create an agent in ChatGPT (and what to do when you need more)February 25, 2026
- AI for market research: How to get insights in minutesFebruary 25, 2026
- ChatGPT Enterprise Alternatives: Best AI Platforms for Business (2026)February 20, 2026
- How To Use AI For Sales In 2026February 20, 2026
- How To Write AI Prompts In 2026February 20, 2026
- AI for Sales Prospecting: How it works and Why it matters in 2026February 20, 2026
- How To Build An AI agent (2026)February 18, 2026
- How AI Agents Transform Content Marketing (2026)February 18, 2026