Describe the outcome. Generate the workflow.
Tell Draft & Goal what you want to achieve — “refresh our decaying blog posts every month” — and it builds a complete, editable workflow on the canvas: the right nodes, wired and coded, ready to review and run.
What it does.
From a sentence to a workflow
Describe your goal in plain language; it asks smart clarifying questions, then builds the whole graph.
Workflow as code
Adds, wires, and closes nodes automatically — with typed, verified input/output connections.
Writes real, validated code
Generates Python that's syntax- and contract-checked at build time, then run in a sandbox.
Configures the AI per step
Picks a model per node, sharpens prompts, wires agent tools, and attaches your RAG sources.
80+ ready-made nodes
Inputs, LLMs & agents, scraping, SEO & data, Google Workspace, CMS, list ops, and media.
Edit, don't rebuild
Point it at an existing workflow; it proposes a change plan you approve, then edits surgically.
It wires the whole graph — correctly.
The generator builds structure the way an engineer would: typed, compatibility-checked connections between nodes, loops that close themselves, IF/ELSE branching with a full set of operators, and Human-in-the-Loop checkpoints where approval matters. Nodes are laid out cleanly on the canvas and exported as JSON you can import straight into the editor.
A node for every step of the job.
From raw input to published output, the generator draws on a deep catalog — and picks the right nodes for what you described.
Your integrations, your models, your voice.
Generation is scoped to your org: it uses only the integrations you've actually connected and the nodes your plan allows, injects your Brand Kit for on-brand content, and remembers your preferences and past workflows across sessions.
Watch it build, node by node.
You see the agent's reasoning stream live as the workflow assembles — finding nodes, building, configuring, finalizing — and it validates as it goes: a valid graph with no orphan nodes and closed loops, plus anti-pattern detection (like a Web Scraper feeding an LLM with no JSON extractor). It finishes with an auto-generated name, summary, and getting-started notes.
From one sentence to a running workflow.
The generator asks any clarifying questions, drafts the full graph with typed connections and validated code, and you review it on the canvas before running.
From input to outcome.
Describe
Type the outcome you want, or paste an SOP — and answer a couple of clarifying questions.
Generate
It builds the full graph: nodes, typed connections, validated code, and per-node AI config.
Refine
Review the live preview and adjust on the canvas — or ask for surgical edits.
Run
Export to the editor and run — now or on a schedule, governed and traceable.
Show us the workflow.
We'll show you the 10x.
Bring the marketing workflow that eats your week. We'll build it live, with your data and your models, in 30 minutes.