Workshop AI

Chat-driven builder for apps, sites and dashboards, with four AI builds per prompt

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Screenshot of Workshop AI, Chat-driven builder for apps, sites and dashboards, with four AI builds per prompt

What is Workshop AI?

Workshop AI builds websites, AI apps, dashboards and internal tools from chat. Arena Mode compares four AI-built versions of one prompt, and Agent Mode refines the winner, with data connectors and one-click deployment.

Workshop AI is a creation platform for turning a written idea into a working website, AI-powered app, dashboard, internal tool or mobile app. Work happens through conversation: the user describes what they want, and an AI agent writes and runs real code, manages dependencies and shows a live preview as the project changes. It targets people who want shippable software without hand-building every layer, from founders and analysts to teams that need internal tools. The product has two modes. Arena Mode sends one prompt to four AI models at once, producing four working versions of the same idea. The user compares them, votes for a favorite and carries that build into Agent Mode, where refinement continues by chat. Agent Mode can also be used from the start, with no Arena step. This comparison step is the clearest difference from single-model builders, since it lets the user judge outputs before investing in one direction. Beyond generation, the platform covers the surrounding work. Anthropic, OpenAI and Google models are available inside the apps being built without API keys, with usage billed through Workshop Credits. Connectors reach databases, files and APIs such as BigQuery, Snowflake, PostgreSQL, MySQL, MongoDB, Supabase, Google Drive, GitHub and AWS S3, with secrets and permissions managed centrally. Deployment is one click to isolated serverless compute, bundling a frontend with a FastAPI backend and scaling to zero when idle. Published apps include built-in authentication and access control, so sharing can be limited to invited people or teams, and viewers are unlimited. Workshop comes in two forms: Workshop Cloud, a browser product for fast access and collaboration, and Workshop Desktop, a downloadable app aimed at flexibility, including the option of local AI. Among alternatives, it sits with prompt-to-app builders but leans toward data-connected business tools and deployment rather than only visual prototypes. The homepage reports more than 30,000 users and showcases examples such as a crypto terminal, a color palette generator and a revenue dashboard.

How do you use Workshop AI?

  1. 1Create an account
    Sign up for Workshop Cloud to get access to the builder in the browser.
    Workshop AI — Create an account
  2. 2Describe your idea in the prompt box
    Write what you want to build, such as a dashboard, website, internal tool or AI app, in plain language.
    Workshop AI — Describe your idea in the prompt box
  3. 3Compare Arena builds and vote
    Review the four versions that different AI models produce from the same prompt and vote for the best one.
  4. 4Refine in Agent Mode
    Open the chosen build in Agent Mode and keep asking for changes while watching the live preview.
  5. 5Connect data and publish
    Attach a database or file source, then deploy and set who can access the app by user, team or email invite.

Pros and cons

Pros

  • Arena Mode returns four AI-built versions of one prompt, so results can be compared before committingAI
  • Built-in Anthropic, OpenAI and Google models need no API keys inside the apps you buildAI
  • Wide data connectors cover BigQuery, Snowflake, PostgreSQL, MongoDB, Supabase and moreAI
  • One-click deploy to serverless compute with scale-to-zero and built-in authenticationAI
  • Available as both a cloud app and a desktop app, with local AI mentioned as an optionAI

Cons

  • Model usage is billed through Workshop Credits, so costs can be hard to predict for heavy AI featuresAI
  • Homepage gives no plan names or prices, so buyers cannot judge total cost before signing upAI
  • Deploying means working inside Workshop's serverless setup with a FastAPI backend, which may limit stack choicesAI
  • Agent-built code still needs review before it runs real business logic or touches production dataAI
  • Only the Arena builds are described as free, and the limits on that allowance are not statedAI

How much does Workshop AI cost?

Free trial

Four Arena builds per prompt are advertised as free, but no formal trial period is described.

Learn more

Pricing

The homepage says Arena Mode builds with four AI models are free. Model usage inside apps is billed through Workshop Credits. No plan names or prices are listed.

Learn more

Integrations

Connects to BigQuery, Snowflake, PostgreSQL, Neon, MySQL, MongoDB, Supabase, MS SQL, Google Drive, Google Sheets, GitHub, AWS S3, Tableau, plus Claude, Gemini and OpenAI natively.

Features

Arena Mode with four AI builds per prompt, Agent Mode for conversational building, live previews, dependency management, built-in model access, secure data connectors, one-click serverless deploy, and access control with unlimited viewers.

Frequently asked questions about Workshop AI

  • How much does Workshop AI cost?
    The homepage says Arena Mode builds with four AI models are free. Model usage inside apps is billed through Workshop Credits. No plan names or prices are listed.
  • Does Workshop AI offer a free trial?
    Four Arena builds per prompt are advertised as free, but no formal trial period is described.
  • How do you use Workshop AI?
    The walkthrough on this page covers 5 steps: 1. Create an account 2. Describe your idea in the prompt box 3. Compare Arena builds and vote 4. Refine in Agent Mode 5. Connect data and publish.
  • What platforms does Workshop AI support?
    Workshop AI is available on Web App, MacOS, Windows and Linux.
  • What does Workshop AI integrate with?
    Connects to BigQuery, Snowflake, PostgreSQL, Neon, MySQL, MongoDB, Supabase, MS SQL, Google Drive, Google Sheets, GitHub, AWS S3, Tableau, plus Claude, Gemini and OpenAI natively.
  • What are the limitations of Workshop AI?
    Model usage is billed through Workshop Credits, so costs can be hard to predict for heavy AI features. Homepage gives no plan names or prices, so buyers cannot judge total cost before signing up. Deploying means working inside Workshop's serverless setup with a FastAPI backend, which may limit stack choices.

Status

StatusActive
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Added10/7/2026

Platforms

Web AppMacOSWindowsLinux

Pricing

FreemiumSubscription