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Visual Builder

Drag, drop, ship.
The visual canvas for AI agents.

No-code drag-and-drop. 18+ node types covering triggers, data sources, LLM analysis, logic, and delivery. Real-time execution preview. Sub-agent nesting. JavaScript transform nodes when you need them. Build a working agent in 10 minutes; ship it to production in 30.

Preview - alpha access opening
app.demandsphere.com - Agent Builder
Node palette
Trigger
Data source
LLM node
Transform
Condition
Delivery
Trigger
Scheduled
cron: 9am Mon
Data
DS Citations
last 7 days
Data
Rank Tracking
top 20, US
LLM
Summarize
claude-sonnet-4.6
Condition
If severity
high / low
Deliver
Slack
#seo-alerts
Deliver
Email digest
weekly
Running Step 4 of 7 - Summarize node executing
1.19 AI credits
Builder capabilities

Built for both the demo and the production run.

Drag-and-drop canvas
18+ node types in a left palette. Drag onto the canvas, connect ports, configure with a form. Pan, zoom, snap-to-grid. The same canvas powers a 3-node demo and a 60-node production workflow.
Live execution preview
Run the workflow from the canvas. Watch each node light up, see the data flowing between connections, inspect outputs in real time. Step through historical runs to debug.
JavaScript transform nodes
For anything no-code can't express: drop in a JS transform node and write arbitrary code. Persistent state between runs, npm-style helper library, sandboxed execution.
Sub-agent composition
Save any workflow as a sub-agent. Call it from other agents as a single node. Pass parameters, pin versions, build a private library your team reuses. See Sub-Agents.
Versioning & history
Every save creates a version. Roll back, compare, audit who changed what. Production agents pin to a specific version so dev work doesn't break running schedules.
Human-in-the-loop
Pause a workflow for review before high-stakes actions. Approval lands in email or Slack with a one-click resume. Auto-approve timers for low-risk steps.
Observability

Watch every run. Roll back any version.

Run console - live ● streaming
09:00:01 Trigger fired (scheduled)
09:00:02 DS Citations - 1,284 rows
09:00:02 Rank Tracking - 240 keywords
09:00:04 Summarize claude-sonnet-4.6 running...
□ 09:00:-- If severity - pending
□ 09:00:-- Deliver - pending
Version history
v1.4Added email branch:prod
v1.3Switched to Sonnet 4.62d ago
v1.2Severity condition5d ago
v1.1Initial schedule8d ago


Common questions

Frequently asked

A drag-and-drop canvas where you compose AI workflows by connecting nodes. Each node performs a discrete task - fetching data, running an LLM call, applying a transform, branching on conditions, or delivering output. You connect them visually and the platform handles execution, retries, and observability.

No. The default workflow is fully no-code: drag nodes from the palette, configure each one with a form, and connect them. For advanced cases you can drop in a JavaScript Transform node, which gives you arbitrary code at any point in the workflow with persistent state.

Yes. The canvas streams execution state in real time - which node is running, what data flowed through each connection, and where errors occurred. You can also step through historical runs to debug.

Save a workflow as a sub-agent. Other agents can call it as a single node, with parameter passing and version pinning. You can also publish to a private template library for your team.

See the canvas in action

Book a strategy session and we'll build a working workflow on your data live.