Mission 04 / Vision

AI Vision Workflow Suite

Workflow evidence

Vision workflows for product-photo enhancement and structured exterior color recommendations with generated previews.

DemonstratedAccepts an inconsistent product photo and returns an enhanced image via webhook, polling the asynchronous generation job until it completes — with a separate error path.

The problem

Visual advisory tasks needed to accept inconsistent image inputs and return useful, structured, presentation-ready outputs.

My responsibility

Built validation, image preparation, model requests, result polling, structured parsing, aggregation, and webhook responses.

Evidence

Screenshots from the live system and the workflow itself — captions describe only what is visible.

System route

The architecture below is a readable abstraction of the documented workflow, not a simulated live execution.

  1. Validate and prepare the source image
  2. Construct a context-specific model request
  3. Poll asynchronous generation tasks
  4. Parse, aggregate, and return structured results

Reliability notes

  • Validation errors follow a separate response path.
  • Asynchronous task status is polled before result extraction.

Evidence currently available

  • Two workflow architectures
  • Structured result path

Technology used

  • n8n
  • Gemini
  • OpenRouter
  • Kie.ai
  • Webhooks

Evidence still being recovered

Client-approved metrics, execution recordings, exact delivery dates, and sanitized implementation artifacts will be added only after verification. This dossier deliberately avoids unsupported impact claims.

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