Blog
Learn more about Dust, get product updates, AI agents best practices and more.
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...
Product Update 19
Hi there, We've shipped significant improvements to Dust this month. Your agents now work autonomously with Triggers and Builder Observability lets you see...
The complete guide to implementing AI Agents: lessons from Wakam, leading European insurer
💡 Key results: - 70% employee adoption and 136 deployed AI agents within 2 months of launch - 50% reduction in legal contract analysis time - Dramatic...
Build vs. buy AI agents: What 1,000+ enterprise deployments taught us about the real costs
When it comes to AI agents, every leadership team eventually faces the same question: should we build this ourselves or buy a platform? It's a familiar debate....
Introducing Triggers: Your agents, working while you sleep
What if your AI agents didn't wait to be asked? Today, we're introducing Triggers : turns Dust agents from on-demand agents into autonomous workers. Schedule...
Further reading
- AI Agents for HR: A practical breakdownMarch 6, 2026
- AI for product management: How to actually use itMarch 6, 2026
- Can you find enterprise AI platforms that fit marketing and finance workflows?March 6, 2026
- How to automate customer support with AI agentsMarch 4, 2026
- AI Agents vs AI Assistants: What is the difference?March 4, 2026
- How to use AI agents across your teamMarch 4, 2026
- AI Agent vs LLM: What is the best fit for you?March 4, 2026
- How to use AI to analyze callsFebruary 27, 2026
- Anthropic Claude SDK vs Dust: Build or use a platform?February 27, 2026
- AI for technical writing: How teams use it and where to startFebruary 27, 2026