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Project Status Report & Migration Log

Date: January 1, 2026 Status: Active / Stable (Hybrid AI Architecture)

📋 Executive Summary

The Poshmark Assistant application has undergone a major architectural overhaul and migration. The codebase has been consolidated, optimized for local resource usage, and moved to a Linux-native environment for improved Docker performance.

🛠️ Key Architectural Changes

  1. Hybrid AI Engine:
    • Vision: Migrated to Google Gemini 1.5 Pro for superior OCR and tag recognition.
    • Logic & Drafting: Migrated to Ollama (Llama 3.2) running locally on the host machine to eliminate API costs for text generation.
  2. Research Integration:
    • Implemented Google Custom Search API to replace manual link generation. The app now performs real-time market pricing research.
  3. Automation:
    • Deployed a dedicated Obsidian Agent (obsidian-watcher) to synchronize documentation and code blueprints to an external vault (E:\WSL\Poshmark-Final-Vault).

🚚 Migration & Cleanup Log

To ensure a clean development environment, the following actions were taken:

  • Filesystem Migration: The active project was moved from the Windows mount (/mnt/c/...) to the WSL Linux filesystem (/home/ubuntuog/Poshmark-Assistant-LATEST) to resolve permission issues and improve IO performance.
  • Legacy Cleanup: Old project iterations (poshmark, poshmark-ollama, Poshmark-Assistant-GitHub) were archived or removed.
  • Docker Optimization: Unused Docker images and build caches were pruned, reclaiming ~26GB of disk space.

📍 Current State

  • Active Directory: ~/Poshmark-Assistant-LATEST
  • App URL: http://127.0.0.1:3000
  • Documentation Vault: E:\WSL\Poshmark-Final-Vault

🔜 Next Steps

  1. User Acceptance Testing (UAT): Verify the full listing flow (Upload -> Details -> Pricing -> Draft) in the browser.
  2. Env Management: Ensure .env keys are rotated if necessary.