Blog
Learn more about Dust, get product updates, AI agents best practices and more.
Field study: Prototypes over mockups
A practical guide to designing with code in 2026 Someone drops a link in a thread — not a deck, not a Figma file — something you can click through, interact...
The Customer Success paradox: why the most human function needs AI most
Customer Success sits at a fascinating crossroads. It's a role that demands deep empathy, strategic thinking, and relationship building: fundamentally human...
Product Update 21
Hi there, We've shipped some of our most powerful updates yet. Your agents can now learn new skills instantly (like Neo downloading kung fu), and you can...
Skills: Your entire agent fleet smarter, together
Introducing Skills The AI world gave us models: processors that generate, analyze, follow user’s instructions. We built the platform to let you build agents:...
Engineering Hiring Process at Dust
Building the Operating System for AI Agents that transforms how work gets done requires exceptional engineers. Here's what our hiring process looks like, and...
AI Agents don't need to be Boxes and Lines
As companies rush to ship "AI agent building" products, we're seeing a familiar interface pattern emerge: visual workflow canvases with boxes, arrows, and...
System Prompt Learning: The feedback loop your agents are missing
Andrej Karpathy recently highlighted something important about the future of AI systems: "system prompt learning" matters more than fine-tuning for many...
From the Maker's Schedule to the Hive: Engineering at the Speed of AI
Coding agents keep getting stronger. First you run one on your branch. Then you want two in parallel, so you add a second checkout. Then four. Suddenly you're...
Build vs Run
Build vs Run and zero-sumness: a simple framework to reason about how to scale teams post artificial intelligence abundance. Will AI annihilate all...
Mentions: Collaborate better, together
When we started building Dust, we saw a future where AI agents work alongside humans. But here's what we learned from watching how teams actually use Dust: the...
2025 Dust Product Update Recap
The AI world moved fast in 2025, but the Dust team moved faster . We started 2025 with a vision: a shared space where teams across your organization work...
Dust 2025 Wrapped: 80,000 Agents, 12 Million Conversations (and other wild stats)
One product manager edited 560 AI agents in 2025. He's not a software engineer, and he's not alone. Across Dust this year, something transformational happened....
Why Dust incorporated voice mode in its Agent Management Platform
When we started seeing customers ask about voice capabilities—first a few scattered requests, then a steady pattern—we knew we needed to move beyond...
Further reading
- 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
- Top Manus Alternatives for Building Apps (2026)February 16, 2026
- n8n alternatives for workflow automation (2026)February 16, 2026
- Top NotebookLM alternatives for research and document analysis (2026)February 13, 2026
- Top Notion AI alternatives for AI-powered workspace automation (2026)February 13, 2026