Architect

Describe an AI agent app. Architect plans it, builds it and ships it.

Start with a sentence. Review the PRD, agent graph and cost before any code is written, then test a live preview and deploy with one click.

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Works with the frameworks and tools your team already uses

  • Architect ADK
  • LangGraph
  • CrewAI
  • OpenAI Agents SDK
  • GitHub
  • Slack
  • Zendesk
  • HubSpot
  • Google Drive

See it in action

From one sentence to a live support agent

Watch Architect turn a request for an e-commerce support agent into a planned, built, tested and deployed app. Use the pause button, or pick a step to jump to it.

A six-step walkthrough of Architect. Step 1, Describe: The user types a prompt asking for a customer support agent for a Shopify store. Step 2, Clarify: Architect asks three clarifying questions about order data, help articles and refund approvals, and each gets answered. Step 3, Plan: A PRD appears with goal, users, agents, integrations and guardrails, plus a cost estimate of about 1.8 credits per conversation. The plan is approved. Step 4, Agents: The agent graph draws itself: Triage routes to Knowledge, which hands off to Responder or to a human Escalation step. Step 5, Build: Files stream in as the app is built, a progress bar fills, the chat widget UI assembles and all tests pass. Step 6, Test & deploy: In the live preview a customer asks about a late order and gets an answer handled by the Responder agent. The app is then deployed to a live URL.

Why Architect

Built for agents that have to work in production

Most app builders stop at a demo. Architect covers the plan, the code, the deploy and what happens after.

  • See it before you build it

    Every app starts as a plan you can read and edit, so nothing gets built on a guess.

    • Generated PRD with goals, users and guardrails
    • Agent graph you can rearrange
    • Credit estimate before any code runs

  • Build mode and Code mode, one project

    Business teams shape the app in plain language. Developers open the same project in a full editor.

    • Chat, canvas and live preview for builders
    • Files, terminal and tests for developers
    • Changes in one mode show up in the other

  • Any agent framework, your repo

    Pick the runtime that fits your stack and keep the code where your team already reviews it.

    • Architect ADK, LangGraph, CrewAI or OpenAI Agents SDK
    • Two-way GitHub sync with branches and PRs
    • Export the code whenever you want

  • Run it in production with Studio

    Once it ships, Agent Studio shows what every agent did and what it cost.

    • Runs and step-by-step traces
    • Cost per run, agent and model
    • Guardrails, approvals and evals

How it works

Four steps, and you approve every one

Architect does the heavy lifting. You stay in the loop at the moments that matter.

  1. 1

    Describe

    Say what the app should do in your own words. Architect asks a few clarifying questions.

  2. 2

    Review the plan

    Read the PRD, adjust the agent graph and check the credit estimate. Approve when it looks right.

  3. 3

    Build and test

    Architect writes the agents, tools and UI, runs the tests and opens a live preview.

  4. 4

    Deploy and monitor

    Ship to a live URL in one click, then watch runs, traces and costs in Studio.

One project, two ways in

Builders describe it. Developers refine it.

Build mode and Code mode work on the same project, so nobody has to rebuild what someone else started.

For builders

Ship an agent app without writing code

Ops leads, support managers and founders describe the outcome. Architect handles the plumbing and keeps you in control.

  • Plain-language chat that edits the plan, graph and UI
  • Visual agent canvas with human approval steps
  • Live preview you can share before going live
  • Studio dashboards for runs, costs and escalations

For developers

Real code you own, in the framework you choose

Open Code mode on the same project to edit agents, tools and tests with full context of the plan.

  • Editor, terminal and test runner in the browser
  • Two-way GitHub sync, branches and pull requests
  • Architect ADK, LangGraph, CrewAI or OpenAI Agents SDK
  • Traces, evals and guardrails wired in from day one

Templates

Start from a proven use case

Each template comes with a plan, an agent graph and a working UI you can change in plain language.

Your first agent app is one sentence away

Describe it, review the plan and ship it to a live URL. Bring your developers in whenever you are ready.

Start building free Read the docs (opens in a new tab)