Hi everyone,
I’m building a visual AI reasoning board for a product called Sero and I’d love some advice on whether Replit is the right place to build it.
The concept is a node-based reasoning viewer where AI processing steps are visualized as connected nodes on an infinite canvas.
Think something similar to:
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Miro / FigJam infinite board
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n8n / Langflow node pipelines
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ReactFlow-style graph editors
But specifically for AI reasoning and outputs during a manager’s 1:1 preparation workflow.
What the board does
On the canvas you would see:
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A team member node (input data)
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Context nodes
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Rule nodes
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AI processing nodes
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Output nodes
Example flow:
Team Member → Context → Rules → AI Processor → Output
The outputs include things like:
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Session summary
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Coaching insights
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Focus areas
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Quick tips
The goal is to trace how the AI produced the advice so managers can understand and trust the reasoning.
UX behavior I’m trying to build
A few specific interaction goals:
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Node creation
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When adding a new node it should appear near the currently selected node (or center of the canvas).
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Similar to how Figma or Miro place objects near your current focus.
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Output node behavior
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The output should behave more like a floating window/panel
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You can still edit rules or context nodes while viewing the output.
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So the output becomes a live viewer rather than the end of the pipeline.
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Trace exploration
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Clicking nodes opens a side inspector panel
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Shows:
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prompt used
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data passed
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AI output
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reasoning metadata
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Infinite canvas
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Zoom
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pan
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expand reasoning chains
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My question
Would you build this inside Replit, or would you use another platform for something like this?
For example I’m wondering about:
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ReactFlow inside a Replit app
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n8n style node engines
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LangGraph / Langflow
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custom canvas tools
Replit is great for fast iteration, but this is starting to feel like a visual AI workflow system, so I’m curious what others would do architecturally.
Tech direction so far
Current thinking:
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React + ReactFlow
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Node backend
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AI calls to OpenAI / Gemini
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JSON trace packs representing reasoning
But before going deeper I’m curious:
Would you build this in Replit or somewhere else?
Thanks!