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AI-Powered Workflow Builder — Claude Code + n8n MCP
I recently started building n8n workflows differently.
Instead of dragging nodes manually, I use Claude Code with the n8n MCP integration — which means I can describe a workflow in plain language and have it scaffolded in seconds, then fine-tune from there.
The result: faster delivery, fewer errors, and automations that are easier to document and maintain.
This is the kind of approach that separates a freelancer who "builds workflows" from one who engineers automation systems.
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I joined the Config Makeathon and built BriefOS — a client brief operating system for designers, studios, and freelancers.
The problem I wanted to solve is something almost every designer deals with:
Client projects rarely start clean.
They usually start with scattered notes, vague goals, random references, unclear positioning, mixed opinions, and no approved direction. That chaos creates slow starts, endless revisions, weak strategy, and confusion between the designer and the client.
So I built BriefOS to turn that mess into a clear, structured website blueprint.
The idea:
Client chaos → AI signal extraction → website blueprint → visual direction → wireframe → client approval
Inside BriefOS, a designer can collect messy client input, organize it into useful categories, extract important signals, build a sitemap, generate copy directions, choose visual routes, adjust wireframes, and send decisions into a client approval room.
I wanted the product to feel less like a generic AI tool and more like a real project command center.
What I built:
Command Center to track the full project workflow
Intake Wall for messy client notes, links, screenshots, and references
Signal Extractor to identify offer, audience, CTA, tone, gaps, and contradictions
Blueprint Builder for sitemap, homepage structure, copy, and conversion path
Visual Lab for mood, palette, typography, layout direction, and style routes
Wireframe Studio for reviewing and refining the homepage structure
Approval Room for client decisions, comments, approvals, and revision requests
I also focused on making the experience interactive instead of just “AI magically does everything.”
The user can tag notes, approve or reject signals, choose direction, reorder sections, compare options, adjust wireframes, and approve final decisions.
Built using Figma Make as part of the Config Makeathon.
The goal was simple:
Help designers move from confusion to clarity faster — while keeping strategy, copy, design, and client approval connected in one workflow.
Still more I’d love to improve:
deeper real data inputs
stronger drag-and-drop behavior
better client presentation mode
more polished animations
live export options
more visual direction templates
But for this version, I’m happy with the core concept: a useful AI workflow product built around a real design problem.
preview link:https://www.figma.com/make/LhthPqSGpwgLBKVoJdQLHG/Begin-Project?fullscreen=1&t=aPQZNZHYQiD53qn0-1&code-node-id=0-9
#ConfigMakeathon @figma #FigmaMake #ProductDesign #UIDesign #AIDesign #WebDesign #DesignTools #Contra
This is actually a really useful idea. Turning messy client briefs into a clear workflow solves a real problem.
Hot take: The more artificial the technology gets, the more human they make the branding become.
Look at Granola, Wispr Flow and of course Anthropic, and dozens of newer AI startups. Serif typography is everywhere.
For years, tech chased clean sans serifs, gradients, efficiency, and neutrality. Now the trend is warmth, personality, and a more human feel.
Maybe that's the irony of AI.
The branding is getting more human because the technology is getting less human. Feels like a natural correction.
We explored a pitch deck for an AI-powered smart home concept focused on reducing energy waste through automation.
To help communicate the idea more clearly, we added motion in Jitter to guide the story and make the content easier to follow.
Would love to hear your thoughts on the flow.
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