Has anyone ever built a tracer view?

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:

  • Miro / FigJam infinite board

  • n8n / Langflow node pipelines

  • 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:

  • A team member node (input data)

  • Context nodes

  • Rule nodes

  • AI processing nodes

  • Output nodes

Example flow:

Team Member → Context → Rules → AI Processor → Output

The outputs include things like:

  • Session summary

  • Coaching insights

  • Focus areas

  • 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:

  1. Node creation

    • When adding a new node it should appear near the currently selected node (or center of the canvas).

    • Similar to how Figma or Miro place objects near your current focus.

  2. Output node behavior

    • The output should behave more like a floating window/panel

    • You can still edit rules or context nodes while viewing the output.

    • So the output becomes a live viewer rather than the end of the pipeline.

  3. Trace exploration

    • Clicking nodes opens a side inspector panel

    • Shows:

      • prompt used

      • data passed

      • AI output

      • reasoning metadata

  4. Infinite canvas

    • Zoom

    • pan

    • expand reasoning chains

My question

Would you build this inside Replit, or would you use another platform for something like this?

For example I’m wondering about:

  • ReactFlow inside a Replit app

  • n8n style node engines

  • LangGraph / Langflow

  • 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:

  • React + ReactFlow

  • Node backend

  • AI calls to OpenAI / Gemini

  • JSON trace packs representing reasoning

But before going deeper I’m curious:

Would you build this in Replit or somewhere else?

Thanks!

Very, very nice to hear from you. I’m really hoping to get feedback from rep community not necessarily the staff.

Thanks you!

How do you do your version control other than the ones done automatically with new prompts?