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!

@seroteams Hey, I’m just a random passerby. No official ability to comment.

However, this caught my eye… Before I give feedback, I wanted to ask if you were seeking community feedback, or feedback directly from replit staff?

I wont waste your time if you want staffs feedback. I understand completely if so, no worries!