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What you’ll build

A complete, deployable AI-powered application — with a frontend, backend, and AI model integration — that you can publish and share with a link.

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Before you start

1

Create a Workshop account

Sign up at app.workshop.ai. Both Workshop Cloud and Workshop Desktop support AI app development.
2

Choose your AI connector

Your app needs access to an AI model to power its intelligent features. You have two options:
Managed connectors for Anthropic, OpenAI, and Gemini are on by default — no API keys, no setup required. Usage is billed to your Workshop credits.To use one, just reference it in your prompt using the @ mention selector or the Add Functionality button. Workshop handles the rest — model selection, API calls, streaming, and error handling.Managed connectors support everything the underlying models do. For example:
  • “Add image generation using @Gemini” — Workshop will use Gemini’s image capabilities
  • “Use @Anthropic to analyze this document and return structured data”
  • “Build a voice transcription feature powered by @OpenAI”

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Step-by-step flow

1

Describe your AI app

Start a new conversation and describe the application. Mention the AI capabilities you want — don’t worry about the implementation details, Workshop handles that.Example prompts:
  • “Build an AI writing assistant that lets users paste text and rewrite it in different tones — professional, casual, concise, persuasive. Include a side-by-side comparison view.”
  • “Create a document Q&A app where users upload PDFs and ask questions about the content. Use Claude for accurate answers with source citations.”
  • “Build a customer support chatbot with an admin panel to manage FAQ entries and a chat interface with conversation history.”
2

Workshop wires up the AI backend

Workshop generates the full stack: frontend UI, backend API routes, and AI model integration. It uses whichever AI connector you enabled and writes the code to call it correctly — prompt engineering, streaming responses, error handling, and all.
3

Test and iterate

Use the live preview to test the AI features. Send real inputs and verify the responses make sense. Refine as needed:
  • “Make the AI responses stream in word by word instead of appearing all at once.”
  • “Add a system prompt field in the admin panel so I can customize the AI’s behavior.”
  • “Limit response length to 500 words and add a regenerate button.”
4

Publish your app

Click Publish and Workshop handles hosting and compute. Your app gets a live URL with built-in authentication. You can make it public or limit access to specific people or teams — Workshop handles the access control as part of the same flow.

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Tips and best practices

Instead of “add AI to my app,” describe exactly what the AI should do: “When a user uploads a CSV, have the AI analyze the data and generate a summary with three key insights and a recommended next step.”
Managed connectors are the fastest way to get started — no API key setup, no billing configuration, no rate limit management. Switch to BYOK later if you need to.
Reference the specific connector when it matters: “Use the Anthropic connector for the analysis — I want Claude’s reasoning capabilities for this.” Workshop will route to the right model.
If your app sorts, routes, moderates or scores inputs rather than generating text, Workshop suggests the Jev decision model. It returns calibrated probabilities in well under a second, billed to your Workshop credits or your own OpenRouter or TypeSafe key.
Workshop’s strength is building full applications around AI — with forms, databases, visualizations, and user accounts. Don’t just build a chatbot; build the complete tool your users need.
Try empty inputs, very long inputs, and adversarial prompts. Ask Workshop to add input validation and error handling: “Add a 10,000 character limit on the input field and show a friendly error if the AI call fails.”

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Next steps

Start Building Free

Ship AI apps, not wrappers. Describe your app and go.