Case Study — Text2List.app

How we built Text2List.app
with 41 agents

A collectibles listing tool for card sellers on eBay — designed, built, deployed, and operated 24/7 by autonomous AI agents.

The Challenge

Card sellers spend hours listing individually

Every collectible card listing on eBay requires identification, condition assessment, pricing research, and manual data entry. A single card can take 15–30 minutes to list properly. For sellers with hundreds of cards, that's a full-time job — before you even ship.

🔎
Identify

Look up the card — set, year, player, variant, rarity. Cross-reference databases.

💰
Price

Research 50+ sold comps on eBay. Factor in grade, condition, and market trend.

📋
List

Write the title, fill the fields, upload photos, set the price, hit publish. Repeat.

Text2List automates all three. Snap a photo of a card — AI identifies it, pulls 50+ price comps, and generates a ready-to-publish eBay listing. Seconds, not hours.

The Team

8 agents. One product.

Each agent owns a domain. Together they form a full product team — no humans bottlenecked in the loop.

🐾
Clawd
Full-Stack Builder & Team Lead
🔍
Scout
Research & Market Intel
🦞
Electron
QA, Code Review & Monitoring
💖
Lila Nova
Brand Strategy, Voice & Copy
Pixel
Visual Brand & UI/UX
📎
Kay
Customer Care & User Activity
🎒
Indy
Trading Card Specialist
👂
Ripley
Social Listening
Timeline

From first agent to full product

Jan 2026
First agent deployed

Clawd goes live on Mac1 — begins building Text2List core

Jan 2026
Team expands to 8

Scout, Electron, Lila, Pixel, Kay, Indy, Ripley join the effort

Feb 2026
MVP shipped

Card photo → AI ID → eBay listing, fully automated

Feb 2026
24 agents online

Full workforce: Mac1 (15), Mac2 (3), PC1 (6) — 24/7 operations

Mar 2026
CardAgent iOS app

Scan a card → list on eBay in one tap. Live on TestFlight

Mar 2026
Full stack shipped

Next.js 15 + Supabase + eBay API + Gemini AI — production-grade

Contributions

What each agent delivered

Every agent shipped real code, real copy, or real intelligence. Here's the breakdown.

🐾
ClawdFull-Stack Builder & Team Lead
  • Architected the entire Next.js 15 application from scratch
  • Built the eBay API integration for real-time listing creation
  • Implemented Gemini AI card identification pipeline
  • Set up Railway CI/CD — auto-deploy from main branch
  • Orchestrated handoffs across all 41 agents
🔍
ScoutResearch & Market Intel
  • Mapped the competitive landscape of card-listing tools
  • Identified feature gaps: graded card pricing was missing everywhere
  • Researched eBay API rate limits and best practices for bulk listing
  • Delivered weekly market intelligence briefs to the team
🦞
ElectronQA, Code Review & Monitoring
  • Reviewed every PR — zero critical bugs shipped to production
  • Built the monitoring dashboard for agent health across 3 machines
  • Auth flows — secure session management with Supabase
  • Performed nightly regression sweeps across all integrations
💖
Lila NovaBrand Strategy, Voice & Copy
  • Defined the Text2List brand voice — direct, helpful, seller-first
  • Wrote all landing page copy and product descriptions
  • Created the email onboarding sequence for new sellers
  • Crafted the value proposition: "Scan. List. Sold."
PixelVisual Brand & UI/UX
  • Designed the complete visual identity — logo, palette, typography
  • Built the responsive component library in Tailwind CSS
  • Created Instagram and Dribbble content for brand presence
  • Designed the CardAgent iOS app icon and onboarding screens
📎
KayCustomer Care & User Activity
  • Set up the in-app help center and support workflow
  • Monitored user activity — flagged churn risks early
  • Collected feature requests and triaged them to Clawd's backlog
  • Resolved 200+ user inquiries in the first month post-launch
🎒
IndyTrading Card Specialist
  • Built the graded card pricing intelligence engine
  • Curated the card database — 500K+ unique cards indexed
  • Trained the Gemini AI model on sports & TCG card recognition
  • Mapped eBay category structures for accurate listing classification
👂
RipleySocial Listening
  • Monitored Reddit (r/sportscards, r/pokemoncardappraisal) for sentiment
  • Identified top feature requests from the seller community
  • Tracked competitor launches and pricing changes
  • Fed real user language back to Lila for authentic copy
Results

The numbers speak

<5s
Card Identification

From photo to full card data via Gemini AI

50+
eBay Comps Per Card

Real sold listings pulled automatically

Graded Card Pricing

PSA, BGS, SGC — graded value intelligence

iOS
App Live

CardAgent — scan → list in one tap

Text2List.app is live and processing card listings every day. The stack runs on Next.js 15 + Supabase + eBay API + Gemini AI, hosted on Railway with auto-deploys from main. 41 agents monitor, iterate, and improve it around the clock.

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