Blog
Learn more about Dust, get product updates, AI agents best practices and more.
Dust Product Update 2
Hi there, Dust’s mission is to make work "work better" by enabling anyone to equip themselves with generative AI, without needing to rely on engineers. Here's...
Dust Product Update 1
Hi! Dust makes work work better with custom AI agents. The past month has been packed with powerful new features and upgrades. ⛵️Mistral Large Now Available •...
How Dust's Table Queries are Changing the Game for Quantitative Analysis with LLMs
Dust's latest capability, structured data analysis with table queries, marks a significant leap forward to help anyone in the company make the most of data....
Why Dust?
In this article, I'll expose the core motivations behind building Dust , how we believe the generative AI ecosystem will evolve and why we are building...
Happy Acceleration in 2024!
2023 was a year of exciting exploration for many teams as they sought to understand the capabilities of generative AI (“GenAI”) and the impact it could have on...
A fair comparison of modern models' reasoning capabilities
The convergence of models' interfaces on the Chat Message API as well as the global push toward larger context sizes opens an interesting opportunity to...
Build an AI Agent to Track Internal Project Status
Stay on top of key projects with a custom Dust agent. From rolling out Dust and agents across companies, we've seen tremendous value in creating AI agents that...
Automate SQL Query Generation with a Custom Dust Agent
Take the load off your data analysts with a Dust agent specialized in SQL. From wide-scale rollouts, we've seen immense value in AI agents that automatically...
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...
Further reading
- AI for technical writing: How teams use it and where to startFebruary 27, 2026
- OpenAI Agents SDK vs Dust: Build from scratch or use infrastructure?February 27, 2026
- 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