Build a sketch-to-mockup tool

~25 min TypeScript Python

What you’re building: A sketch or screenshot becomes editable UI code.

Primitives you’ll use: Sandbox, Agent and harness, Deployment (App Engine)

Agent prompt

Start with your coding agent

Choose what you are building. The brief names the product it is modelled on, maps it onto MIOSA, and lists the exact commands. Copy it into OSA, Claude Code, Codex, or Cursor.

Template coming soon

1 What are you building?

Leave it empty and your agent will propose 3 names, pick one, and use it for resources, the domain and branding.

3 Configure

Harness
Model
Scale
Extras

4 Your prompt

Reference product

Uizard, by Uizard (https://uizard.io): a tool that turns a sketch or a screenshot into editable UI.

How it works: The user supplies a hand-drawn sketch or a screenshot; the tool reads the layout and produces editable screens or code for web and mobile apps.

Key capabilities:

Sketch or screenshot to editable UI

Screens you can adjust

Code you can export

Share the result

Build an app LIKE Uizard. It is not affiliated with Uizard: do not copy its name, branding or assets. Open https://uizard.io first, confirm the capabilities above, and note anything this brief missed.

How it maps onto MIOSA

Prompt (and reference design) to a working UI -> agent runs (`miosa prompt`, client.runs) streaming events that write the UI as code inside the project sandbox

Live preview -> a sandbox preview URL (`miosa preview create`)

Projects and assets -> managed Postgres (`DATABASE_URL`) for project metadata; design files and exports under the sandbox's /workspace

Share or export the result -> a MIOSA deployment (`miosa deploy create`), immutable and versioned for a published page, or a downloaded bundle from the sandbox

Goal

Build an app like Uizard on MIOSA, as a multi-tenant product sold to my customers. Each customer is isolated in its own workspace; I meter usage and bill them.

Product name: propose 3 product names, pick one, and use it for resource names, the domain and branding. Until you pick, <product-name> stands for it in the commands below.

Scale: a prototype.

Set up

npm i -g @miosa/cli

miosa login && miosa whoami

miosa api-key create <product-name>-key --preset agent

export MIOSA_API_KEY="msk_u_..."

miosa org

miosa connections add models # your own model provider key

Resources

Sandbox: the agent's isolated Linux workspace

miosa create <product-name>-box --template nextjs --wait

Agents and harnesses: what a run can use

miosa agent harnesses

Deployment: a stable, versioned URL

miosa deploy create --from-sandbox <product-name>-box --name <product-name> --wait

Data and storage

Project metadata is small; the design itself is code and assets in the project sandbox's /workspace.

Assets are content-addressed by hash so identical inputs are never regenerated.

Auth and tenancy

Your organization is the platform; customers never get a MIOSA account, they sign into YOUR product. One workspace per customer, created as they onboard, isolates their machines, runs and data.

miosa workspace create <product-name>-customer-1

Tag every machine and run with the customer id in `metadata`, and never query across customers. Meter usage per customer with GET /api/v1/usage and set who pays with PUT /api/v1/bill-to (/docs/platform/usage-and-billing).

Agent loop

Harness: OSA is MIOSA's own harness and works with any model provider you connect, including your own model.

Model: Anthropic (Claude). Calls use my own provider key (`miosa connections add models`); MIOSA platform keys are never used.

Sessions: one chat per project or conversation, so the agent keeps its context. The first `miosa prompt` on a sandbox uses `--new-chat` (a chat id is printed); every later turn passes `--chat <chat-id>`. `--reuse chat` keeps one new machine per chat so files persist.

Streaming: follow a run with `miosa run follow <run-id>` or client.runs.streamEvents(run.id), and steer or stop it with `miosa run steer` and `miosa run interrupt`.

The harness writes the UI as code inside the project sandbox so it can build and screenshot its own work and iterate against the reference.

Steps

1. Create the project sandbox that holds the generated design as code and serves the preview.

miosa create <product-name>-box --template nextjs --wait

Check: The sandbox is running.

2. Take the input image: store the sketch or screenshot under /workspace/design and describe it first (screens, elements, hierarchy) so the model works from a structure rather than pixels.

Check: The image is present and the agent lists the screens and elements it sees.

3. Generate editable UI code: dispatch the harness to turn the described structure into screens (and the code behind them) the user can edit.

miosa prompt --sandbox <product-name>-box --harness osa --model <anthropic-model-id> --chat <chat-id> "Build the screens described from /workspace/design; write editable components and the code behind them"

Check: The project builds and matches the reference within visual tolerance.

4. Preview and compare: render the preview, take a screenshot headlessly and compare it with the reference.

miosa preview create <product-name>-box 3000 --name web

Check: A screenshot of the preview exists next to the reference image.

5. Export: package the result as code (zip of /workspace) or rendered assets; no deployment is needed to hand a file back.

sandbox.files.download("/workspace/out")

Check: The exported bundle opens on a clean machine.

Limits and costs

Previews are cheap; keep one sandbox per active project and pause idle ones.

Provider usage (generation, speech) is billed by those providers; store your own job-level cost.

Prototype: keep it to one machine at the default size, skip replicas and custom hostnames you do not need, and delete everything when you are done.

Acceptance checks

The generated design builds and previews.

The result can be exported.

Re-running with the same inputs gives the same result structure.

Each customer is isolated in its own workspace and usage is metered against them.

Everything it created can be deleted with nothing left running.

What your choices added

  • Build a product. a workspace per customer, per-customer metering and bill-to
  • Agent suggests a name. proposes 3 product names and picks one; commands use <product-name>
  • Harness: OSA. dispatches with `miosa prompt --harness osa`
  • Model: Anthropic. your own provider key
  • Prototype. one small machine, no extras, easy to delete

What you're building

a tool that turns a sketch or a screenshot into editable UI Modelled on Uizard, by Uizard.

The user supplies a hand-drawn sketch or a screenshot; the tool reads the layout and produces editable screens or code for web and mobile apps.

Primitives you'll use: Sandbox · Agent and harness · Deployment (App Engine)

  • Sketch or screenshot to editable UI
  • Screens you can adjust
  • Code you can export
  • Share the result

Source: uizard.io. Uizard is a trademark of its owner; this guide is not affiliated with or endorsed by them.

What you need on MIOSA

Each row is one thing to create before you start. The number matches the step that uses it.

  1. Organization and API key Scopes every call; a workspace key is all a worker needs. miosa api-key create app-key --preset agent Docs
  2. Sandbox The isolated Linux workspace the agent writes code and runs commands in. miosa create app-box --template nextjs --wait Docs
  3. A workspace per customer Isolates each customer’s machines, deployments, and data as they onboard. miosa workspace create customer-1 Docs
  4. Branding and white-label Your name and slug on previews, deployments, and the desktop; customers never see MIOSA. miosa org Docs
  5. Usage metering and bill-to Usage per customer, and which account pays for new machines. miosa org bill Docs
  6. Agent and harness Turns a prompt into work: pick the harness and model a run uses. miosa agent harnesses Docs
  7. Deployment (App Engine) Publishes the app to an immutable, versioned URL with rollback. miosa deploy create --from-sandbox app-box --name app --wait Docs

Architecture

How it maps onto MIOSA

Prompt (and reference design) to a working UI -> agent runs (`miosa prompt`, client.runs) streaming events that write the UI as code inside the project sandbox

Live preview -> a sandbox preview URL (`miosa preview create`)

Projects and assets -> managed Postgres (`DATABASE_URL`) for project metadata; design files and exports under the sandbox's /workspace

Share or export the result -> a MIOSA deployment (`miosa deploy create`), immutable and versioned for a published page, or a downloaded bundle from the sandbox

Data and storage

Project metadata is small; the design itself is code and assets in the project sandbox's /workspace.

Assets are content-addressed by hash so identical inputs are never regenerated.

Auth and tenancy

Your organization is the platform; customers never get a MIOSA account, they sign into YOUR product. One workspace per customer, created as they onboard, isolates their machines, runs and data.

miosa workspace create uizard-customer-1

Tag every machine and run with the customer id in `metadata`, and never query across customers. Meter usage per customer with GET /api/v1/usage and set who pays with PUT /api/v1/bill-to (/docs/platform/usage-and-billing).

Agent loop

Harness: OSA is MIOSA's own harness and works with any model provider you connect, including your own model.

Model: Anthropic (Claude). Calls use my own provider key (`miosa connections add models`); MIOSA platform keys are never used.

Sessions: one chat per project or conversation, so the agent keeps its context. The first `miosa prompt` on a sandbox uses `--new-chat` (a chat id is printed); every later turn passes `--chat <chat-id>`. `--reuse chat` keeps one new machine per chat so files persist.

Streaming: follow a run with `miosa run follow <run-id>` or client.runs.streamEvents(run.id), and steer or stop it with `miosa run steer` and `miosa run interrupt`.

The harness writes the UI as code inside the project sandbox so it can build and screenshot its own work and iterate against the reference.

Steps

  1. Create the project sandbox that holds the generated design as code and serves the preview.

    miosa create uizard-box --template nextjs --wait

    Check: The sandbox is running.

  2. Take the input image: store the sketch or screenshot under /workspace/design and describe it first (screens, elements, hierarchy) so the model works from a structure rather than pixels.

    Check: The image is present and the agent lists the screens and elements it sees.

  3. Generate editable UI code: dispatch the harness to turn the described structure into screens (and the code behind them) the user can edit.

    miosa prompt --sandbox uizard-box --harness osa --model <anthropic-model-id> --chat <chat-id> "Build the screens described from /workspace/design; write editable components and the code behind them"

    Check: The project builds and matches the reference within visual tolerance.

  4. Preview and compare: render the preview, take a screenshot headlessly and compare it with the reference.

    miosa preview create uizard-box 3000 --name web

    Check: A screenshot of the preview exists next to the reference image.

  5. Export: package the result as code (zip of /workspace) or rendered assets; no deployment is needed to hand a file back.

    sandbox.files.download("/workspace/out")

    Check: The exported bundle opens on a clean machine.

Limits and costs

Previews are cheap; keep one sandbox per active project and pause idle ones.

Provider usage (generation, speech) is billed by those providers; store your own job-level cost.

Prototype: keep it to one machine at the default size, skip replicas and custom hostnames you do not need, and delete everything when you are done.

Acceptance checks

The generated design builds and previews.

The result can be exported.

Re-running with the same inputs gives the same result structure.

Each customer is isolated in its own workspace and usage is metered against them.

Everything it created can be deleted with nothing left running.

Next steps

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