Agentic AI Comparison:
CatDoes vs Dust AI

CatDoes: 8/10

Evidence confidence: high

CatDoes documents a substantial application-building workflow: natural-language construction of websites and mobile apps, a live multi-page canvas and preview, a cloud agent that performs changes, an included backend with Postgres, authentication, storage, edge functions, and realtime events, web deployment, GitHub import, pull requests or synchronization, and code export on higher plans. Official materials also describe native iOS and Android deployment and App Store and Google Play publishing on qualifying plans. This is a strong documented scope for an AI app builder, but the evidence does not justify an exceptional 9 or 10 because completeness, reliability, and production quality are not independently measured here and some capabilities are plan-dependent.

Dust AI: 8/10

Evidence confidence: high

Dust has a substantial documented workflow for its stated purpose: users can create custom agents using skills, knowledge, and tools; select among multiple model providers; use managed connections such as Google Drive, Notion, Slack, and Confluence; and run multi-agent workflows on schedules or triggers. The documentation describes agents answering questions in company context, drafting documents, analyzing data, and acting in connected systems. This supports a high score for documented end-to-end agent work, but not a 9 or 10 because the available evidence does not establish unusually complete controls across every supported workflow, nor does it independently verify actual task performance.

CatDoes: 8/10

Evidence confidence: high

CatDoes offers a direct start path: its documentation says to start building for free, and official product material lists a free plan with a project, credits, web deployment, and CatDoes Cloud. The FAQ states that the Free plan includes one public project, one-time credits, web deployment, and a full backend, while paid plans begin at $20 per month. This supports manageable adoption for an intended user who wants to build a web project. The score is not higher because mobile-store publishing, broader project limits, GitHub synchronization, and code export are tier-dependent, and the evidence does not establish that every user can complete those deployment paths without additional platform-specific work.

Dust AI: 8/10

Evidence confidence: high

Dust presents an active self-service path with a free plan and paid plans listed on its official pricing page. The page identifies a free tier with 500 lifetime credits, a Pro plan at €24 per seat per month with 8,000 credits per seat per month, and a Max plan at €120 per seat per month with 40,000 credits per seat per month. The product is therefore more accessible than a sales-only enterprise service. Adoption still requires users to configure agents, knowledge, tools, connections, and possibly MCP services, so the evidence supports 8 rather than 9 or 10; the source also describes team and enterprise-oriented functionality that may add administrative complexity.

CatDoes: 8/10

Evidence confidence: medium

CatDoes publishes a free entry tier and paid plans beginning at $20 per month. Its official materials describe plan differences involving credits, project counts, deployment targets, GitHub features, and code export; the FAQ also states that annual billing saves 16%. The product documentation makes a particularly important cost boundary clear: CatDoes Cloud is included on every plan, including Free, while agent actions consume credits. This supports a strong value-and-clarity score. It is not a 9 or 10 because credit consumption, usage limits, and the full entitlement details for each plan are not completely established by the available primary-source excerpts, and app-store or other external operational costs are not shown as included.

Dust AI: 8/10

Evidence confidence: high

Dust provides unusually clear published entry pricing and allowances: Free at €0 with 500 lifetime credits, Pro at €24 per seat per month with 8,000 credits per seat per month, and Max at €120 per seat per month with 40,000 credits per seat per month, excluding VAT. The same page describes included model access, custom agents, workflows, and connectors, making the relationship between plan, allowance, and feature scope relatively understandable. The score is not 9 or 10 because the practical cost depends on seats, credit consumption, VAT, and potentially separate programmatic usage: the official changelog says programmatic usage is tracked and billed separately and that enterprise users may use pay-as-you-go billing. Published pricing therefore supports budgeting, but it does not establish total cost for every deployment.

CatDoes: 6/10

Evidence confidence: medium

CatDoes documents several useful integration mechanisms for an application-building workflow: a built-in backend with database, authentication, storage, edge functions, and realtime events; service integrations that the agent can write when instructed; GitHub import; pull requests or synchronization; and code export on higher plans. These are meaningful extensibility options, but they are not equivalent to Dust's broad enterprise knowledge-connection ecosystem. CatDoes' integration model is primarily application infrastructure, source control, and generated service code, with some features gated by plan. The available evidence does not verify a broad catalog of native user-facing connectors, so a conservative 6 is appropriate.

Dust AI: 8/10

Evidence confidence: high

Dust documents a broad, task-relevant integration model. Its official pricing material lists Slack, Notion, GitHub, Drive, and more than 20 connections, plus the ability to connect other tools through MCP. The developer documentation describes managed integrations that synchronize automatically, including Google Drive, Notion, Slack, and Confluence. This supports a broad and extensible user-facing ecosystem. The score remains 8 rather than 9 or 10 because the evidence does not enumerate every connector, establish equal functionality across connectors, or show that all connections are available under every plan.