Microsoft Copilot agents are AI assistants built into the Microsoft 365 ecosystem. They handle specific tasks like research, data analysis, and workflow...

Microsoft Copilot Agents: What they do and When your team needs more

Agentic AI and Generative AI are two distinct technologies that serve different purposes in enterprise operations. Generative AI creates content on demand....

Agentic AI vs Generative AI: What is the key difference? 

It's a Tuesday in March. Nic Siegle drops his dog off at daycare, pulls out his phone, and opens the Slack channel where his agents have been running since...

An AE's Day Using Dust: What It Actually Looks Like

When we shipped the Chrome extension last year , it solved a real problem: getting Dust agents into the browser where most work actually happens. Select text,...

Your browser has a point of view

Most companies store customer data in databases and spreadsheets, but the knowledge that explains why deals close or products fail lives in documents and team...

Structured vs Unstructured Data: What it means for your AI agents

Claude Code ships with a built-in agent system that lets developers delegate isolated tasks like test runs, codebase searches, and code reviews to specialized...

Claude Code agents: Everything teams need to know before choosing

The choice between RAG and fine-tuning starts with one key question: does your knowledge change frequently, or does it stay relatively stable? But that's not...

RAG vs Fine-Tuning: Key differences and when to use each

Autonomous AI systems are changing how companies work. AI agents for enterprise access company data, handle multi-step workflows, and operate across business...

AI agents for enterprise: What they do and how companies deploy them 

AI systems can now write emails, analyze data, and answer complex questions. But there's a fundamental limitation: these models only know what they learned...

RAG vs LLM: The difference and why they're better together

Project managers spend a significant portion of their week on coordination work: collecting status updates, tracking what's blocking progress, summarizing...

AI agents for project management: Key capabilities, use case, and PM tool comparison

Email still consumes hours of every workday. Teams spend that time reading threads, researching context across different tools, and drafting responses that...

AI email agent: How to draft emails

An AI sales agent is software that can plan, decide, and act on sales tasks without constant human supervision. These agents analyze data from your CRM and...

What is an AI sales agent? (And how to build one in 2026)

Support teams are stuck in a loop: ticket volumes grow, headcount doesn't, and response times slip. AI ticketing systems break that cycle by automating ticket...

AI ticketing system: What it is and how it works (2026)

AI systems that can plan toward a specific outcome work differently from those that simply respond to inputs. Goal-based agents evaluate possible actions...

What is a goal-based agent? (And why it changes how teams work)

Most teams already use Slack as their primary workspace. But answering the same questions repeatedly, searching for information across tools, and keeping...

How teams use Slack AI agents (2026)

AI agents and chatbots both use artificial intelligence to interact with users, but they solve fundamentally different problems. The distinction matters in...

AI agent vs Chatbot: Key differences

AI agents are evolving from experimental projects to production systems that change how teams work. Companies are using them to solve problems across different...

AI agents examples with Dust: Use cases across different teams

Most companies store valuable data in warehouses, but only people who know SQL can access it. Everyone else waits for analysts to run queries. That creates...

AI agents for data analysis: Real use cases

Most companies know where their headquarters is. Fewer know where their data actually lives. As organizations expand globally and adopt enterprise AI, data...

What is data sovereignty and why it matters for enterprise AI

Dust agents understand your company. They search your knowledge sources, reason about context, and produce answers grounded in what your business actually...

How to automate your Dust agents with workflow tools (2026)

Yes, you can adopt an AI platform that integrates multiple language models without rebuilding your workflows every time a better model launches . Dust is one...

Can you get an AI platform that integrates various language models?

AI adoption across enterprises has accelerated rapidly since late 2022, driven by the emergence of generative AI. From customer service and internal operations...

Enterprise AI search in 2026: What you need to know

Agentic AI and AI agents get confused constantly. The terms sound similar and often get mixed up, and the difference isn't always clear. This article breaks...

Agentic AI vs AI agents: A clear breakdown

Your Dust agents are about to get a lot busier. Dust is now available on viaSocket, an automation platform that connects thousands of SaaS tools through...

Dust is now on viaSocket

💡 This is the updated version of our original 2024 model comparison guide . When we first wrote about this in May 2024, the options available in Dust felt...

Which AI model should you choose for a Dust agent? Our 2026 guide

Businesses generate more data and run more tools than ever, yet teams still spend hours each day on repetitive work. The gap between available information and...

AI agents for business automation: Everything you need to know

HR teams are buried in repetitive work. Answering the same policy questions, screening hundreds of resumes, taking interview notes, and onboarding new hires....

AI Agents for HR: A practical breakdown

AI is reshaping how product managers collect feedback, write PRDs, and make roadmap decisions. Teams are automating survey analysis, tracking feature requests...

AI for product management: How to actually use it

Yes, several enterprise AI platforms are built to fit marketing and finance workflows . Dust is a platform that does this by creating specific workflows for...

Can you find enterprise AI platforms that fit marketing and finance workflows?

Most AI platforms bet on a single model provider. We bet on the free market. This isn't just philosophy. Over the past three years, we've built Dust around a...

The Single-Model Trap: Why AI Platforms Need Multiple Providers

The average person at Dust uses over 15 different agents in a week. Each one built by someone who understood a problem: the sales team's way of qualifying...

Build a Flock, Not a Crowd

Support teams face growing ticket volumes while customers expect faster responses. Automating customer support with AI agents helps teams handle routine tasks...

How to automate customer support with AI agents

Most teams adopt AI tools without understanding what they actually need. The difference between AI agents and AI assistants determines whether AI becomes a...

AI Agents vs AI Assistants: What is the difference?

AI agents are software systems that can complete tasks on their own by reasoning through problems, taking action, and learning from context. They differ from...

How to use AI agents across your team

Most businesses adopt AI without asking a fundamental question first: does this problem need intelligence or execution? That difference determines whether you...

AI Agent vs LLM: What is the best fit for you?

Something is shifting inside the fastest-moving companies. A new kind of role is appearing on org charts, sometimes with a formal title, sometimes without one...

The Era of AI Operator

Sales and support teams record hundreds of calls every month, but most of those recordings sit unwatched. Manual review is too time-consuming to scale, so...

How to use AI to analyze calls

The Anthropic Claude SDK gives developers direct programmatic access to Claude models through client libraries in Python, TypeScript, and other languages. Once...

Anthropic Claude SDK vs Dust: Build or use a platform?

Technical writing is changing as AI tools become part of everyday documentation workflows. Teams are using AI to draft content faster, maintain consistency...

AI for technical writing: How teams use it and where to start

The OpenAI Agents SDK packages multi-agent coordination into a lightweight framework. You get agent loops, handoffs between specialized agents, guardrails for...

OpenAI Agents SDK vs Dust: Build from scratch or use infrastructure?

An agent that works well today can start producing different results next week. Not because someone pushed a code change, but because the knowledge it queries...

From Evaluation to Maintenance

Gemini Enterprise is Google's AI agent platform for organizations building custom agents with company data. It's designed for teams that want no-code agent...

Top Gemini Enterprise alternatives for teams building AI agents (2026)

Financial institutions face a unique operational challenge: high compliance burden, complex customer support needs, and pressure to scale without proportional...

AI agents in finance: How financial institutions are working differently

Your agents just got write access to Google Drive, real-time observability in the Builder so you can see exactly what's happening under the hood, and...

Product Update 22

Want just the recap? Take a look at this: Frame After two years deploying AI agents with customers ranging from industrial firms to leading AI companies, we've...

Why you need an Agent Management Platform

ChatGPT has evolved far beyond answering questions. In 2026, you can create AI agents that automate research, draft content, analyze data, and complete...

How to create an agent in ChatGPT (and what to do when you need more)

AI is reshaping how market research teams collect and analyze data, from automating survey analysis to tracking consumer sentiment in real time. This guide...

AI for market research: How to get insights in minutes

At Dust, we've spent years obsessing over how AI can transform team productivity. We've built connections, agents, and workflows that let organizations...

Introducing the Dust Academy

ChatGPT Enterprise brought conversational AI to work, but it doesn't connect deeply to your company's tools, locks you into one AI model, and takes a...

ChatGPT Enterprise Alternatives: Best AI Platforms for Business (2026)

Your sales team is drowning in admin work. Between CRM updates, prospect research, meeting prep, and follow-ups, actual selling happens in the margins. Sound...

How To Use AI For Sales In 2026

You ask your AI assistant a question. The response comes back generic, vague, or completely missing the point. You rephrase and try again. Same problem. The...

How To Write AI Prompts In 2026

Sales reps often spend a large portion of their day on activities that aren't directly selling. Research, data entry, switching between tools, and hunting for...

AI for Sales Prospecting: How it works and Why it matters in 2026

AI agents are transforming how businesses work in 2026. Unlike chatbots that simply answer questions, AI agents can independently complete tasks, make...

How To Build An AI agent (2026)

Content marketing teams face a scaling problem. You need more content across more channels, but resources stay flat. Most AI tools help with individual tasks...

How AI Agents Transform Content Marketing (2026)

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...

Field study: Prototypes over mockups

Manus is an autonomous AI agent that builds full-stack applications, mobile apps, and presentations from single prompts. Users describe what they need, and...

Top Manus Alternatives for Building Apps (2026)

Workflow automation platforms help teams connect apps and automate processes, but not every tool fits every team's needs. Whether you're evaluating n8n...

n8n alternatives for workflow automation (2026)

Customer Success sits at a fascinating crossroads. It's a role that demands deep empathy, strategic thinking, and relationship building: fundamentally human...

The Customer Success paradox: why the most human function needs AI most

Google's NotebookLM has become a popular tool for analyzing documents using AI. Users upload PDFs, research papers, or notes, and the AI generates summaries,...

Top Notion AI alternatives for AI-powered workspace automation (2026)

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...

Product Update 21

TL;DR The top alternatives for Copilot Studio are: Dust: No-code AI agent platform with cross-platform data connections, LLM-native actions, and $29/user/month...

Top Microsoft Copilot Studio alternatives for building custom AI agents (2026)

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:...

Skills: Your entire agent fleet smarter, together

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...

Engineering Hiring Process at Dust

What is enterprise search? Enterprise search is AI-powered software that helps employees find information across all company systems. It searches through...

Top Glean alternatives for AI-powered enterprise search (2026)

As companies rush to ship "AI agent building" products, we're seeing a familiar interface pattern emerge: visual workflow canvases with boxes, arrows, and...

AI Agents don't need to be Boxes and Lines

Andrej Karpathy recently highlighted something important about the future of AI systems: "system prompt learning" matters more than fine-tuning for many...

System Prompt Learning: The feedback loop your agents are missing

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...

From the Maker's Schedule to the Hive: Engineering at the Speed of AI

Build vs Run and zero-sumness: a simple framework to reason about how to scale teams post artificial intelligence abundance. Will AI annihilate all...

Build vs Run

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...

Mentions: Collaborate better, together

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...

2025 Dust Product Update Recap

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....

Dust 2025 Wrapped: 80,000 Agents, 12 Million Conversations (and other wild stats)

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...

Why Dust incorporated voice mode in its Agent Management Platform

Hi there, We've shipped significant improvements to Dust this month. Your agents now work autonomously with Triggers and Builder Observability lets you see...

Product Update 19

💡 Key results: - 70% employee adoption and 136 deployed AI agents within 2 months of launch - 50% reduction in legal contract analysis time - Dramatic...

The complete guide to implementing AI Agents: lessons from Wakam, leading European insurer

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....

Build vs. buy AI agents: What 1,000+ enterprise deployments taught us about the real costs

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...

Introducing Triggers: Your agents, working while you sleep

This article was written by Aaron Horwath, Director of AI Operations at Creative Force . Creative Force is an end-to-end software platform for managing content...

How Creative Force Is Using Dust to Help Define “The Future of Work”

Hi there, We've been busy! This month brought some of our biggest updates yet: interactive Frames for data that comes alive, Deep Dive for research that goes...

Dust Product update 18

https://www.youtube.com/embed/mDwg9N2WAmM?feature=oembed When we started noticing patterns in our agent logs back in May 2025, something caught our attention....

Building Deep Dive: Infrastructure for AI Agents That Actually Go Deep

Hi, I'm Sophie. I work at Dust to help expand it in the UK. I spent 8 years in London - from university through my early career - and the city's tech scene has...

Why UK AI pilots struggle to scale and what companies need instead

Why non-poaching agreements hurt everyone in the French tech ecosystem The French tech ecosystem has been maturing rapidly over the past few years. Yet some...

Let the Free Market Win

What if your reports could handle the follow-up questions? Today, we're introducing Frames: a new way to transform Dust agents’ conversations into interactive...

Introducing Frames: Interactive data, visualized

Hi there, We've shipped significant improvements to Dust this month. Schedule your agents to run automatically, build agents that run reliably for extended...

Dust Product update 17

We're excited to share some big news: Dust is now available on Google Cloud Marketplace! This means our customers can now access our AI agent platform directly...

Dust is live on Google Cloud Marketplace

Eric Glyman, CEO of Ramp recently commented that " autonomous finance is being built right now. " What Eric’s seeing in finance teams is just one instance of a...

Companies are building their Agent OS right now. Are you?

I’ve never envied AI software buyers less. AI is amorphous, the landscape changes weekly, and there’s no established playbook for what an AI‑first organization...

The easy wins AI-first GTM teams have already implemented

Hi there, We've shipped significant improvements to Dust this month. Build with GPT-5, create agents that can remember your preferences and past interactions...

Dust Product update 16

When we built Dust, we solved a fundamental problem: AI agents that start from zero. Custom agents with access to curated company knowledge meant every...

Agent Memory: Building persistence into AI collaboration

Our latest Session for Builders showcased the game-changing potential of MCP for sales teams. Instead of outdated, rigid automation, MCP brings intelligent,...

Supercharge your sales with MCP tools in Dust

Hi there, We've shipped significant improvements to Dust this month. Your agents can now create email and calendar invites, be chained together for complex...

Dust Product update 15

In April 2025, something kept showing up in our logs. Our AI agents were inventing their own syntax for searching content — file:front/src/some-file-name.tsx ,...

How We Taught AI Agents to Navigate Company Data Like a Filesystem

The Model Context Protocol (MCP) is revolutionizing how AI agents interact with external systems, and Dust is at the forefront of making this technology...

Give Dust Agents Access to Your  Internal Systems with Custom MCP Servers

Word is on the street that for AI agents to be useful at work, they should be plugged to your company data . But when an AI agent provider says it's ‘plugged...

Dust is better at company data

🏆 25+ teams spent their Friday at Qonto 's Paris office, hacking on agent-focused projects in all shapes and sizes. Special focus on the winners. If you’re...

AI agents hackathon winners

Hi there, We've introduced significant improvements to Dust. You can now build with Claude 4 Sonnet, discover agents through our enhanced tagging system, and...

Dust Product update 14

At Dust, we're building an AI operating system to transform how work gets done. We connect company infrastructure to AI capabilities, bringing intelligent...

Interviews at Dust

https://www.youtube.com/embed/RNcXWPCaLqg?feature=oembed Most companies sit on disconnected data silos – warehouses filled with business metrics, spreadsheets...

Beyond Dashboards: How Natural Language Queries Unlock Organizational Context

The Founder's Dilemma Every founder faces moments of doubt. For me, the persistent challenge has been reconciling the years of effort we've poured into Dust...

Dust for Dust

The Model Context Protocol (MCP), created by Justin Spahr-Summers and David Soria Parra at Anthropic, has emerged as a popular standard for how AI models...

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