We’re proud to announce our partnership with Mantu, a global consulting and services group. Together, we’ll help organizations move from AI ambition to...

Dust and Mantu partner to bring agentic AI into everyday operations

A multi-model AI platform gives your team a shared way to use several AI models, often from providers such as OpenAI, Anthropic, Google, and Mistral . Managed...

What is a multi-model AI platform? A guide for teams

Choosing between Grok and Gemini depends on your tasks, information sources, and preferred way of working. This guide compares their research capabilities,...

Grok vs Gemini: which AI is suitable for you?

AI observability is the practice of collecting and connecting evidence about how AI systems run, perform and produce outcomes. It combines operational...

What is AI observability and how to get started?

Introducing the Dust Index: a study grounded in real-world business use of AI, examining model choice, shared playbooks, and what it means for a company to own...

Your AI strategy should outlast your favorite model

Compounding AI is about making useful improvements carry forward into future work. Compound AI systems, which combine components such as models, data...

Compounding AI: How systems and feedback build lasting value

Collaborative AI is an approach to work in which people and AI systems contribute to a shared outcome. It goes beyond one-off questions and answers: people and...

What is collaborative AI and how does it work?

With new GPT and Claude models arriving regularly, keeping up with what each offers can be difficult. Choosing between them means understanding which features...

ChatGPT vs Claude: Which is the right fit for you?

We're excited to announce that AI Partners, a Paris-based AI transformation firm, is now an official Dust partner. AI Partners helps complex organizations...

Dust welcomes AI Partners as an official partner

LLM cost optimization starts with understanding where your spend goes and whether it delivers the results you need. Model choice, prompt length, and request...

LLM cost optimization: what it is and how to manage costs

Claude and Gemini are both capable general-purpose AI products, built by two of the biggest players in AI: Anthropic and Google. Each one takes a different...

Claude vs Gemini: which AI is suitable for you?

LLM observability is the practice of capturing and analyzing how applications built with large language models execute, perform, and respond. It helps you...

LLM observability: What to capture, what to trust, and how to act on it

AI agent memory is the system that lets an agent retain information from interactions and retrieve it later to inform its responses or actions . It can...

What is AI agent memory and how it works

Human-AI collaboration means people and AI work toward the same outcome. AI helps retrieve information, analyze data, and draft material. People decide what...

Human-AI collaboration: What it means and how teams make it work

If your team runs more than one agent, model, or automated workflow, you've probably hit the same wall: nothing shares context, permissions vary from one...

What is AI orchestration? When you need it and how it works

San Francisco has always been a place where people come to make things. They start companies, build movements, write songs, make films, and find collaborators...

Supporting the Next Generation of Creative Talent

Most companies measure the ROI of their AI deployment the wrong way. They count saved hours, multiply by hourly cost, and conclude the investment was worth it....

Your AI deployment won't pay off: here's why

I just had my 15-day check-in at Dust. Here’s what I’ve learned about onboarding at a company where people and agents work from shared context. At Dust,...

15 days in: onboarding at a multiplayer AI company

This article was developed in collaboration with Daniel Liem and expands on the "AI Pilled" playbook he developed at Decagon: how an AI-native company is...

How to AI-pill an AI company

On July 7, we brought together a room of 80 fintech operators in London for a panel that was supposed to last 40 minutes. We ran over (and it’s usually a good...

Rewiring Fintech: Lessons From Paddle, Checkout, and Dust

We're excited to announce that Niji, one of Europe's leading digital consultancies, is now an official Dust partner. Niji brings deep expertise in helping...

Dust welcomes Niji as an official partner

Skills are one of the best ways to scale expertise across digital teams of humans and agents. They contain sets of instructions that encode various team...

Introducing self-improving skills: reusable AI capabilities that learn from usage

Dust Support evolved from a single @support agent to @Dust, powered by a Support skill. The flow looks like the following. Trust me, it’s simpler than you...

How Dust runs Support on Dust

Agentic AI has changed what's possible for companies over the past year, and the capabilities we've shipped at Dust reflect that shift. Skills let teams codify...

The economics of multiplayer AI

Inside most fast-growing fintechs, there is a version of the same conversation. Someone on the engineering or product team has been using Claude or ChatGPT for...

How TrueLayer answered the question every CTO gets asked about AI

When I began my SEO journey five years ago, I had to do almost everything manually. Keyword research, SERP analysis, content briefs, reporting, internal...

How I Use AI Agents to Run a More Structured SEO Workflow

"There aren't enough chips; not enough memory, motherboards, hard drives; not enough helium for semiconductors; not enough electrons. The entire semiconductor...

The Compute Availability Trap: Why Multi-Provider AI Is No Longer Optional

AI is reshaping how teams produce, manage, and scale written content. From drafting blog posts to repurposing campaign assets across channels, AI for content...

How to Use AI for Content Creation: A Step-by-Step Guide for Teams

AI is changing how organizations approach strategic planning, from the way they gather competitive intelligence to how they model future scenarios and align...

AI for Strategic Planning: How to Plan Faster (2026)

AI for logistics covers the technologies and systems that help companies plan, move, store, and deliver goods more efficiently. This guide explains what that...

AI for Logistics: Everything You Need to Know

Dust recently shipped a feature that lets you loop any Dust agent into an email thread — just like you'd loop in a colleague. Forward a message to...

AI x Email: Your Agent Lives in Your Inbox

Token spend is having a moment. Companies are posting their usage numbers, frontier model costs are climbing, and everyone is suddenly paying attention to...

Your AI rollout is working, but for the people who need it least

An agent operating system is a coordination layer that manages memory, tools, scheduling, and access control for AI agents so they can work reliably across...

What is an Agent Operating System? A Guide to Running AI Agents at Scale

Most companies haven't truly enabled their sales teams to use AI. Not really. A handful have. But the majority are somewhere between "we gave everyone a...

The AE Job Is Being Rewritten: Most Sales Teams Haven't Noticed

Multi-agent systems are networks of autonomous AI agents that coordinate to solve problems too complex for a single model to handle alone. This guide covers...

Multi-Agent Systems: How They Work and When to Use Them (2026)

AI agent patterns are the architectural blueprints behind how an agent reasons, plans, and acts. The model gets most of the attention, but the pattern...

AI Agent Patterns: The 5 You Need to Know (2026)

Three years ago, we started Dust with a core conviction: as AI models improve at an unprecedented pace, companies will need a new type of system that turns raw...

Dust raises $40M Series B to scale multiplayer AI for human-agent collaboration

Getting an AI agent to produce its first useful output is increasingly straightforward, especially with no-code platforms. Knowing whether it is performing...

AI Agent Monitoring: A Guide to Tracking Performance

AI agents behave differently from traditional software: they reason, make decisions, and produce outputs that can vary even when given the same input. That...

AI Agent Testing: How to Know If Your Agent Works 

Business research can be time-consuming. You check multiple systems, synthesize information, and repeat the process with each new question. AI agents help by...

AI Agents for Research: What They Are and How They Work

Many modern AI copilots and AI agents are powered by large language models, but they work in fundamentally different ways. Understanding the distinction helps...

AI Copilot vs AI Agent: What's the Difference and Which Do You Need?

Retrieval augmented generation connects AI models to company knowledge so they can answer questions using real, current information instead of guessing. The...

RAG use cases: 9 ways retrieval augmented generation solves real business problems

Private equity firms are integrating AI into their core workflows. From due diligence document analysis to portfolio monitoring and investment memo creation....

AI in Private Equity: How PE Firms Use Automation (2026)

AI agents work better when they can access your data and take action across your systems. Integration is what connects those dots: it turns an isolated AI...

AI Agent Integration: What It Is and How to Get Started

AI is reshaping how marketing teams handle email workflows, from automating campaign personalization to scaling content across different markets without manual...

How to use AI in email marketing (2026)

AI agent workflow builders automate multi-step processes by connecting agents to your company's data and tools. Some platforms focus on connecting apps and...

What Is an AI Agent Workflow Builder (And What Should You Actually Look For)

Desktop AI agents are the hottest thing in enterprise tech right now. Tools that can read your files, manage your inbox, and reorganize your folders feel like...

Your AI agents are only as safe as where they run

IT teams handle the same requests repeatedly: password resets, access permissions, basic troubleshooting. AI agents can automate this work by pulling answers...

AI Agents for IT Teams: Use Cases, Benefits & How to Get Started 

AI agent workflow automation uses autonomous systems to execute multi-step tasks, make decisions, and adapt to new information without constant human...

AI Agent Workflow Automation: What It Is and How to Use It (2026)

Choosing AI software for enterprise teams means balancing capability with security. This guide covers how to evaluate platforms on the security criteria that...

How can I find secure enterprise software for AI-powered teams?

Dust is a secure enterprise platform for AI-powered agents that lets organizations deploy AI with enterprise-grade security controls, compliance...

 What is a secure enterprise platform for AI-powered agents?

At Dust , you can get AI solutions with built-in privacy and governance . The platform is SOC 2 Type II certified, GDPR compliant, and enables HIPAA...

Where can I get AI solutions with built-in privacy and governance? 

From automation flows to agent orchestration: how I rebuilt my outbound stack on Dust When I joined Dust, in my first week I did what I knew to automate my...

How I Built a Growth Outbound OS With Dust AI Agents

Dust offers AI solutions for HR, sales, and support teams through a single platform that connects to your existing tools and data sources . The platform lets...

Who offers AI solutions for HR, sales, and support teams?

Yes, you can automate internal processes with AI agents. Dust is a multiplayer AI platform that does this by connecting AI agents to your existing business...

Can I automate internal processes with AI agents? (2026)

AI agents are changing how revenue operations teams manage pipeline health and forecast accuracy. Teams no longer rely solely on manual reporting. Agents can...

AI Agents for Revenue Operations (2026)

You don't need another AI platform in your stack. You need connection. Most companies approach AI adoption the same way: take existing workflows, put an AI...

Your AI problem is actually a collaboration problem

Writing prompts to ChatGPT is one thing. Writing instructions that define how an AI agent behaves across hundreds of interactions is another. This guide shows...

How to Write AI Agent Instructions That Actually Work

The conversation around enterprise AI has shifted. Two years ago, most companies focused on adopting generative AI for content creation and knowledge work....

Generative AI vs Agentic AI: What the shift means for your team

By Karen Chalco, Content Marketing at Dust Case studies, or customer stories as we call them at Dust, are one of the highest-value pieces of content a company...

We Build AI Agents: Here's How We Use Them to Scale Our Own Case Studies

Dust , Rovo (Atlassian's AI platform), Microsoft Copilot, and Guru give enterprise teams unified access to company knowledge . These platforms let teams search...

Which enterprise AI platforms give teams unified access to company knowledge?

AI projects often stall before they start. Teams can see where AI would help their workflows, but turning ideas into working solutions can require developer...

Which platform can different departments use to launch AI projects?

At Dust, engineers don't wait for product requirements. There are no product managers handing down specs. Engineers are accountable for a project end to end --...

An Engineer's Day at Dust: What It Actually Looks Like

AI agents handle work that used to require people: research, data updates, customer responses, internal support. The options range from no-code platforms to...

Top AI Agent Builder Platforms for Enterprises (2026)

Sales and marketing teams spend significant time on repetitive tasks. AI agents handle research, analysis, and coordination tasks autonomously so teams can...

AI Agents for Sales and Marketing Teams (2026)

Business teams handle hundreds of repetitive tasks weekly. These include tasks like updating CRMs, routing leads, sending follow-ups, and syncing data between...

Top platforms to automate business workflows in 2026 (and why AI agents are the next step)

Model performance in AI changes quickly. A model that leads in capability one quarter may fall behind the next as new releases emerge. Organizations that build...

Top AI platforms with model-agnostic architecture (2026)

Dust is a multiplayer AI platform where people and agents work from the same context in shared workspaces, connected to company data and tools. They publish...

What platform shares trusted AI agent success stories?

You don't need to write Python to build a working AI agent anymore. Teams across sales, support, marketing, and operations are creating agents that draft...

How to Build AI Agents Without Coding (Step-by-Step Guide)

Companies lose hours every week to a problem most don't track: employees hunting for information that already exists. The marketing brief is buried in Slack....

What is an internal knowledge base? A complete guide for 2026

The ROI question comes up in almost every conversation we have with customers. Not because the value is unclear to them, but because they can't articulate it...

AI ROI: Beyond the Adoption KPI

You've shipped your AI agent. People are using it. But you have absolutely no idea if it's actually working. Is the report-generating agent saving your team...

From Good to Great: How the Continuous Improvement Loop Improves AI Agent Performance

An AI voice agent is software that uses speech recognition, large language models, and generative AI to understand and respond to spoken language . This guide...

What is an AI voice agent? A complete guide for 2026

Enterprise search is software that lets employees find information across all company systems through a single interface instead of searching each tool...

What is Enterprise Search? (How It Works, Types, and Benefits)

When we started Dust , we made every decision for the model. You'd configure a data source, and on every message the system would retrieve the most relevant...

Getting Out Of The Way

AI marketing agents are autonomous systems that execute marketing tasks by accessing company data, reasoning through problems, and taking action across tools....

AI marketing agents: Use cases, Benefits, and How to get started

AI agent workflows are sequences of tasks executed dynamically by one or more AI agents to achieve a specific goal, using reasoning, tools, and memory to adapt...

AI agent workflows: How they work and how to build your own

Every sales rep has had this experience. You get off a call, the notes are in Fathom, the deal data is in Salesforce, the customer history is in Zendesk, and...

Fathom is now on Dust: Your meeting intelligence, finally connected to the rest of your stack

With the rise of AI, teams are automating repetitive tasks across their workflows. Email sorting, meeting summaries, data entry, customer support responses,...

How to use AI agents to automate tasks (2026)

Enterprise teams are deploying AI agents to automate work across departments. The AI agent companies building these systems range from model providers to...

Top AI Agent Companies for Enterprise Teams (2026)

AI agents are being adopted across different business functions to automate repetitive workflows. Customer support is one area where teams are implementing...

AI agents for customer support: Benefits, How they work, and Getting started

AI systems can retrieve information from your company's knowledge base and generate answers in seconds. The problem is that they retrieve once, generate once,...

RAG Agent: What it is, How it works, and Why it matters

Building standalone agents is easy. Building reusable, composable capabilities is the hard part. Most companies don’t have an AI problem. They have a...

The Hard Problems No One Wants to Solve

AI agents are changing how teams work. These systems can plan tasks, make decisions, and take action across your tools without constant oversight. This guide...

Benefits of AI Agents (and what they look like in practice)

Onyx AI is an open-source enterprise search platform with strong RAG capabilities and self-hosting options. But depending on your infrastructure requirements,...

Top Onyx AI alternatives for enterprise knowledge search (2026)

AI agent development frameworks provide the infrastructure developers need to build agents that can plan, use tools, and execute tasks autonomously. LangGraph,...

AI agent development frameworks: Most popular and key components

Hi there, Describe what you want an agent to do. Watch it get built. That's Sidekick, a new AI co-pilot embedded in the Agent Builder that drafts instructions,...

Product Update 23

Dust , Poe, TypingMind, and TeamAI let you choose between leading language models through a single interface . These platforms give you access to Claude, GPT...

Which AI platforms let you choose between leading language models?

LangChain is a developer framework for building LLM-powered applications. It's one of the most popular tools for prototyping with large language models, but it...

Top LangChain alternatives for building LLM-powered applications (2026)

At Dust you can build AI agents without writing code. It's a multiplayer AI platform for human-agent collaboration, where business teams describe agents in...

Where can you build AI agents without writing code?

Gumloop is a popular choice for AI workflow automation, but several alternatives offer different strengths depending on your team's needs. This guide covers...

5 Gumloop alternatives for AI workflow automation (2026)

AI agents are changing how enterprise teams handle repetitive work, turning hours of manual tasks into automated workflows. Glean agents take this approach by...

Glean agents: How they work and when you need more

An AI prompt is the instruction you give to an AI model to generate a specific output, from a single question to detailed guidance on role, context, and...

What is an AI prompt?

Do you really care if you didn’t write every word you sent? How to engineer better support? In other words: what does Putting Users First mean in a world where...

Building Help Behind AI Agents: Support Engineers Role At Dust (we’re hiring!)

No-code AI agent builders let business teams create and deploy AI agents without writing code or waiting for engineering help. Teams build agents using visual...

No-Code AI Agent Builder: What It Is, How It Works, and Where to Start

Developing an LLM agent has become more accessible as platforms and frameworks mature. The technical complexity ranges from choosing which model to use to...

How to develop an LLM agent (Without building one from scratch)

Enterprise AI is the deployment of artificial intelligence systems inside large organizations to automate work, surface knowledge, and support decisions at...

What is enterprise AI? Everything you need to know

AI agent tools help teams automate work by connecting AI models to the apps and data they use every day. Some act as general-purpose assistants you chat with,...

Top AI Agent tools in 2026 (And when you need a platform)

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....

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