Does Dust offer a free plan?

Dust's Free seat costs $0 and includes 500 lifetime credits, best for occasional users or people trying Dust.

How much do Dust's paid seats cost?

Dust Pro costs $24/month billed yearly (8,000 credits/month) and Max costs $120/month billed yearly (40,000 credits/month).

How many organizations trust Dust?

Dust is trusted by teams at 3,000+ global organizations, per the dust.tt homepage.

Dust: Multiplayer AI for Human-Agent Collaboration

Dust Review: Prompts Workflow Fit, Pricing and Alternatives

Dust functions as a prompts workflow layer for users who need AI support inside a repeatable task, process, or content system. Its value is strongest when the buyer understands the job it should improve, the quality standard it must meet, and the surrounding tools it needs to connect with. For business use, Dust should be judged by workflow fit, output reliability, review effort, and whether it reduces manual work without creating new risk.

Prompts

Table of Contents: Dust Review Guide

Jump to the pricing, features, pros and cons, comparisons, FAQs, and alternatives.

1Quick Summary 2Dust Role 3Best Fit 4Specialist Features 5Pricing 6Pros & Cons 7Use Cases 8Getting Started 9Worth It?10Comparison 11FAQ 12Alternatives

Dust Quick Summary for AI Workflow Buyers

Overall Rating: 4.2/5 | Free Plan: Free, trial, open-source, or entry access may vary
Best For: teams, creators, operators, founders, and specialists evaluating prompts for recurring business or productivity workflows
Pricing: pricing depends on current plan, usage, seats, model access, and workflow volume | Ease of Use: 4.1/5 | Business Value: 4.2/5
Last Tested: June 2026 | Version: Latest

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What Role Does Dust Play in a Modern AI Workflow Stack?

Dust positions itself as "Multiplayer AI for human-agent collaboration," connecting company knowledge, tools, and teams so organizations can create, share, and run agents across real workflows. The platform emphasizes using different models for different tasks with people in control, and is trusted by teams at 3,000+ global organizations. Dust's strategic role centers on bringing relevant context together across Slack, CRM, docs, and other company systems so agents can answer with the full picture and take action. It offers 70+ connectors, 20+ frontier and open-source models from providers including OpenAI, Anthropic, Google, and Mistral, and an AI-native governance layer with SOC 2 Type II certification, SSO, SCIM, audit logs, and US/EU data residency. Pricing includes a free tier with 500 credits, Pro at 24€ per seat per month with 8,000 credits, and Max at 120€ per seat per month with 40,000 credits, plus an Enterprise plan with pooled credits, volume pricing, and dedicated support.

Who Is Dust Best For in 2026?

Primary users: teams and individuals who need prompts as a recurring workflow rather than a one-off experiment.
Business fit: buyers who want clearer output, faster execution, or less manual overhead in prompts workflows.
Stack fit: teams that can connect Dust to their content, customer, document, project, or automation systems.
Avoid if: the workflow is vague, low-value, sensitive without review, or already handled well by an existing tool.

Professional reality: Dust can only create durable value when the workflow around it is clear. AI tools in this category still need human review, data boundaries, quality checks, and a defined owner for the final output.

Specialist Dust Features That Matter for Business Growth

CONTEXT

Agents with company context

Connect Dust to 70+ connectors, including Slack, Notion, Google Drive, GitHub, Salesforce, and Zendesk. Give agents the context they need to get work done.

Agents answer with the full picture and take action across Slack, CRM, docs, and other company systems.

COLLABORATION

Multiplayer AI for cross-functional work

Bring people and agents into the same workflow. Dust helps teams coordinate complex work across departments using shared context, reusable skills, connected tools, and human review.

People guide the work while agents handle repeatable tasks across teams.

MODELS

Model flexibility

Build agents with 20+ frontier and open-source models from OpenAI, Anthropic, Google, Mistral, and more. Choose the model that fits each workflow.

Use different models for different tasks, with people in control.

GOVERNANCE

AI-native governance

Control how AI is used across your company. Set permissions for data, tools, systems, and agents, then use audit logs and analytics to monitor activity, adoption, usage, costs, and ROI.

Teams move quickly while keeping company data locked down.

SECURITY

Enterprise-ready security and privacy

SOC 2 Type II certified, data residency in the US or EU, dedicated single-tenant deployment, and custom data retention policies.

Use AI on your terms, without giving up control of your data.

ACCESS

Governance and access controls

Single sign-on with your identity provider, automated user provisioning and deprovisioning, separate data and permissions by team, audit logs, and advanced security controls.

Granular enough for your CISO, invisible to everyone else.

How Much Does Dust Cost in 2026?

Dust offers a Business plan for teams up to 100 people, with a Free tier at 0€ including 500 lifetime credits, a Pro tier at 24€ per seat per month with 8,000 credits, and a Max tier at 120€ per seat per month with 40,000 credits, excluding VAT. Yearly billing saves 20%. All Business tiers include 20+ frontier models, custom agents, multi-agent workflows, Slack/Notion/GitHub/Drive plus 20 more connectors or any tool via MCP, team collaboration workspaces, SSO with Okta, Entra ID & Jumpcloud, and US & EU data residency. Enterprise pricing is available via sales and adds unlimited connectors, pooled credits, SCIM, audit logs, single-tenant deployment, dedicated CSM, priority support with SLA, and custom legal terms.

Plan	Price	What You Get
Free	0€	500 credits · Lifetime
Pro	24€ /seat/mo	8,000 credits /seat/mo
Max	120€ /seat/mo	40,000 credits /seat/mo
Enterprise Best Value	Talk to sales	Everything in Business plus unlimited connectors & MCP servers, workspace-pooled credits & volume pricing, SCIM, audit logs & custom data retention, US & EU data residency & single-tenant deployment, dedicated CSM, priority support & SLA, custom legal terms (MSA, DPA)

Visit the official Dust website to check the latest pricing and plans.

Dust Pros and Cons for AI Tool Buyers

Where It Is Strong

Useful category fitDust gives buyers a focused option for prompts workflows.
Can reduce manual effortThe tool can help speed up repeated tasks when the process is clearly defined.
Works best inside a stackIts value increases when output moves into business, content, customer, document, or automation systems.
Good comparison candidateIt belongs in the same evaluation set as other prompts tools.

Where It Needs Care

Needs human reviewAI output should be checked before it affects customers, rankings, revenue, compliance, or brand trust.
Pricing can change quicklyPlan limits, credits, model access, and team features should be checked before rollout.
Not a complete strategyThe tool improves execution, but it does not define goals, messaging, process ownership, or quality standards.
Workflow fit matters more than noveltyIf the team does not have a recurring use case, the tool may become another unused subscription.

When Does Dust Deliver the Most Business Value?

Engineering Operations

Surface relevant context, docs, and historical issues inside your IDE with AI-powered code debugging, maintain standards and compliance at scale with automated code reviews, execute automated runbooks and enable rapid root cause analysis during incident response, and keep user and API docs up-to-date from code changes automatically with continuous doc generation.

Customer Support Operations

Classify and route tickets to the right team instantly with ticket triage and routing, generate context-aware replies grounded in your knowledge base, turn resolved tickets into reusable internal docs with knowledge synthesis, and spot at-risk accounts before they churn with escalation detection.

Sales Operations

Brief reps in seconds with the latest signal on accounts through account research, score and route inbound leads with your live ICP, generate tailored proposals from past wins, and auto-log calls, emails, and next steps after every touch for CRM hygiene.

Marketing & Content Operations

Turn campaign goals into structured briefs grounded in your brand, translate and adapt copy across markets in minutes with content localization, roll up campaign data into actionable narratives with performance analysis, and compose on-brand posts from your latest releases with social drafting.

How Do You Get Started With Dust?

Define the exact prompts workflow Dust should support.

Compare it with closely related AI tools in the same category before committing.

Set review rules for accuracy, privacy, brand voice, compliance, and final approval.

Connect useful outputs to the wider stack instead of leaving them inside the AI tool.

Is Dust Worth It for AI Tool Buyers?

Dust is worth it when prompts is a repeated workflow and the tool meaningfully reduces manual work, improves quality, or speeds up execution. It is less compelling when the use case is occasional, unclear, or too sensitive to trust without heavy review. The strongest ROI comes from pairing the tool with clear process ownership and relevant business systems.

Dust vs Competitors: Which Tool Fits Best?

Decision Area	Dust	When Another Option Wins
Company context	Connects to 70+ connectors including Slack, Notion, Google Drive, GitHub, Salesforce, and Zendesk, bringing relevant context together across company systems so agents can answer with the full picture and take action.	If you only need to retrieve a single message from Slack or a record from your CRM, a simpler tool may be enough.
Model flexibility	Build agents with 20+ frontier and open-source models from OpenAI, Anthropic, Google, Mistral, and more, choosing the model that fits each workflow.	If you are standardized on a single model provider and do not need to switch between models per workflow, a single-model tool may suffice.
Multiplayer collaboration	Brings people and agents into the same workflow with shared context, reusable skills, connected tools, and human review, coordinating complex work across departments.	If your work is individual rather than cross-functional, a single-player prompt tool may be sufficient.
Governance and security	Dual-layer permission model separating what agents can access from who can use them, with SCIM-synced groups, admin-gated overrides, zero privilege escalation, audit logs, SOC 2 Type II certification, and US or EU data residency.	If you do not need enterprise-grade access controls, audit logs, or data residency options, a lighter-weight tool may be adequate.
Pricing model	Business plan starts free with 500 credits, Pro at 24€ for 8,000 credits/seat/mo, Max at 120€ for 40,000 credits/seat/mo, with enterprise volume pricing and workspace-pooled credits.	If you prefer a flat subscription without usage-based credits, a fixed-price prompt tool may be simpler to budget.

Dust vs PromptPerfect

PromptPerfect focuses on refining and optimizing individual prompts, while Dust is a multiplayer AI platform that connects company knowledge, tools, and teams to create, share, and run agents across real workflows with governance and model flexibility.

Choose Dust if: You need agents that use company context across 70+ connectors, multi-agent orchestration, and enterprise governance with audit logs and data residency. Choose PromptPerfect if: You only need to improve the quality of individual prompts rather than build and run agents across company systems.

Dust vs AIPRM

AIPRM provides a library of prompt templates primarily for ChatGPT, whereas Dust offers custom agents with skills, knowledge, and tools, multi-agent workflows on schedules and triggers, and connections to 20+ data sources.

Choose Dust if: You want to build and share agents that take action across Slack, CRM, docs, and other company systems with human review and model choice. Choose AIPRM if: You mainly want ready-made prompt templates for ChatGPT without connecting to company data sources or orchestrating multi-agent workflows.

Dust FAQ for AI Tool Buyers

What is Dust?

Dust is a Multiplayer AI platform for human-agent collaboration. It connects your company knowledge, tools, and teams so you can create, share, and run agents across real workflows, using different models for different tasks with people in control.

How many connectors does Dust support?

Dust connects to 70+ connectors, including Slack, Notion, Google Drive, GitHub, Salesforce, and Zendesk. The Business plan includes connectors to 20+ data sources, while the Enterprise plan offers unlimited connectors and MCP servers.

What models can I use with Dust?

Dust supports 20+ frontier and open-source models from providers including OpenAI, Anthropic, Google, Mistral, and DeepSeek, plus multi-modal input. This gives teams the flexibility to choose the model that fits each workflow.

How much does Dust cost?

Dust offers a Business plan for teams up to 100 people with a Free tier (0€, 500 credits lifetime), Pro at 24€ per seat/month (8,000 credits), and Max at 120€ per seat/month (40,000 credits), excluding VAT. Yearly billing saves 20%. Enterprise pricing is available via sales.

Is Dust secure and compliant?

Yes. Dust is SOC 2 Type II certified and offers data residency in the US or EU, dedicated single-tenant deployment, custom data retention policies, SSO with Okta, Entra ID, and Jumpcloud, SCIM provisioning, audit logs, and advanced security controls. Enterprise plans also include custom legal terms (MSA, DPA).

Key Takeaways

Dust is best evaluated as a prompts workflow tool.
It should be compared with related AI tools in the same category before buying.
It delivers more value when connected to business systems and governed with human review.

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