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Ask AI to build a lead intake system
The user starts with a plain-language request instead of manually creating triggers, schedules, and outputs one by one.
Clero System Plan
This demo shows a full planning handoff: ask AI for a lead intake system, open the drafted plan from chat, review its connected blocks, and approve the system into live components.
Prompt to plan
Start with a natural-language request and let AI draft the full operating flow.
Visual review
Open a connected plan canvas to inspect every trigger, sheet, cron, and template relation.
Approval handoff
Turn the approved draft into active system components without leaving the planning workspace.
Demo flow
The left column explains each step while the live workspace on the right updates from chat, to canvas, to approved components.
Scroll through the story or tap the highlighted actions in the demo to open the plan and approve it.
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The user starts with a plain-language request instead of manually creating triggers, schedules, and outputs one by one.
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AI responds with a system plan card so the draft stays inside the same conversation where the request started.
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One click swaps the chat view for a dedicated system canvas where the structure can be reviewed visually.
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The plan shows a lead intake trigger flowing into a sheet, plus a daily report cron connected to both the sheet and a message template.
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The user can approve the plan directly from the workspace without editing each automation component separately.
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After approval, the canvas resolves into four active system pieces with clear states, so the user can see the build is ready to run.
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The result is a connected operating flow: new leads are captured automatically, stored centrally, and summarized every day for the team.
Lead Ops Chat
The assistant drafts a working system in chat first, then hands it off to a visual review canvas.