Merge pull request 'feat: add ai-first ebay cataloging assistant idea' (#1) from ty_tech/ai-first-ebay-cataloging-assistant into main
Reviewed-on: #1
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# AI-first eBay Cataloging Assistant
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## One-Liner
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An AI-powered assistant that turns raw product descriptions or photos into complete, buyer-ready eBay listings.
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## Problem
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- **Pain point**: Sellers spend significant time researching comparable sold listings, rewriting descriptions into concise paragraphs, selecting attributes, and choosing keywords that balance appeal with policy compliance.
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- **Who experiences it**: Home resellers, shop owners migrating from in-person sales to eBay, and anyone managing a high volume of SKUs.
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- **How painful / frequent**: This is a repeated, time-consuming task that happens for every new or refreshed listing.
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## Solution
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- **What does it do**: Accepts free-form notes or images, queries and analyzes the market, and outputs formatted eBay listings optimized for discovery and conversion.
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- **Core workflows**:
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1. Input raw product notes or photos via chat, email, or Shopify-style CSV.
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2. Research sold and active comps to suggest pricing.
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3. Generate titles, descriptions, bullet points, item specifics, and keywords.
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4. Summarize risk factors (too generic, keyword stuffing, suspicious attribute combinations).
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5. Prepare the listing for review / export.
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- **Minimum Viable Version**:
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- Text input only.
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- Research Web + select data sources (eBay sold data or seller guides).
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- Structured output + copy-ready formatting.
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- Simple approval workflow.
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## Target Market
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- **Primary customer segment**: Casual and power eBay resellers.
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- **Market size indicator**: eBay remains one of the largest global marketplaces; resale and small-business growth continue expanding the addressable seller base.
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## High Level Use Cases
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- Turn a 2-line WhatsApp note into a listing.
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- Bulk-rewrite existing Shopify/Amazon titles into eBay-optimized listings.
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- Suggest realistic prices using sold-listing benchmarks.
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- Enforce listing quality before publish.
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## High Level Design / Dependencies
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- **Architecture / system design overview**:
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- Web app + mobile-friendly chat interface.
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- Multiple research tools in parallel.
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- Template engine for listing content.
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- Approval queue with export (eBay file format, JSON, CSV).
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- **External services, data sources, APIs**:
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- Google Shopping or eBay integration for research.
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- eBay API for direct publish (later phase).
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- Vision model for photo descriptions.
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- **Key technical dependencies**:
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- Hermes agents or equivalent orchestration.
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- Structured templates + rules for eBay listing quality.
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## Differentiation / Competitive Edge
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- Chat-native seller workflow (as natural as texting a listing to an assistant) rather than rigid spreadsheets.
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- Compliance-focused generation that avoids policy pitfalls before a human reviewer sees them.
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- Easy integration with product data already captured in other tools or raw notes.
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## State of this idea
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- `initial`
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## Risks
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- **Technical**: Compiling reliable, current comparable pricing at scale.
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- **Market**: Seller expectations around publication automation vs. human judgment.
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- **Regulatory**: eBay policy compliance for listing content; data-source licensing.
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