DocsEden Academy: Comprehensive Development Summary

Eden Academy: Comprehensive Development Summary

Eden Academy: Comprehensive Development Summary

Week of August 15-22, 2025

🎯 Executive Summary

We transformed Eden Academy from a basic infrastructure platform into a sophisticated AI-powered content pipeline designed for small creative teams. The pendulum swung from "bare-bones infra" back toward rich, textured experiences while maintaining focus on internal team tools rather than broad consumer features.

🏗️ What We Built This Week

Core Infrastructure

  • AI-Powered Content Pipeline
    • - Upload → Auto-Tag → Inbox → Critique → Publish - Claude Vision integration for automatic image analysis - Nina AI curator with Paris Photo standards - Budget controls and sampling rates
  • Key Pages & Features
    • - /upload - Drag-and-drop image upload with agent/day selection - /inbox - Filtered content queue with bulk operations - /critiques - AI analysis results with verdicts and scores - /admin/tagger - System monitoring and backfill tools - Studio tabs on agent profiles for creator tools
  • Database Enhancements
    • - Enhanced tagging schema with JSONB fields - Budget tracking tables - Date extraction functions - Proper indexing for filtering

    UI/UX Improvements

  • • 2x5 agent grid on homepage
  • • Removed follow/social features (team focus)
  • • Baseball card style agent profiles
  • • Unified navigation header
  • • Clear workflow breadcrumbs

    • 📊 Key Decisions Made

    Strategic Pivots

  • Team Tools Over Consumer Features
    • - Removed follow buttons and social mechanics - Focus on extended team workflows - Internal curation rather than public engagement
  • Quality Over Quantity
    • - Nina calibrated to top 15-25% for INCLUDE - Paris Photo exhibition standards - Strict quality gates before publishing
  • Unified Workflow
    • - Single pipeline for all agents - Consistent tagging schema - Shared critique standards

    Technical Choices

  • • Next.js 15.4 with App Router
  • • Supabase for database and auth
  • • Anthropic Claude for AI analysis
  • • Base64 image encoding for uploads
  • • Vercel for deployment

    • 🔄 Current Workflow

    ``
  • UPLOAD → Images tagged with AI analysis
  • INBOX → Filter and select works
  • CRITIQUE → Nina evaluates against Paris Photo standards
  • PUBLISH → INCLUDE works go to collection
  • DISPLAY → Published works appear in Creations tab
    • ``

    🔮 Future Roadmap: Paris Photo & Beyond

    Phase 1: Practice & Planning Tools (Next 2 Weeks)

    #### Daily Practice Pipeline Enhancement
  • • Practice Calendar View
    • - Visual timeline of daily uploads - Highlight high-scoring days - Show include rate trends - Gap analysis for missing days - Pace tracking toward 100-day goal #### Product Categorization System
  • • Tag works by product intent:
    • - Editioned print (1/10, 1/25, etc.) - One-of-one NFT - Physical merchandise - Exhibition piece - Digital collection
  • • Automatic product line assembly
  • • Downstream fulfillment tracking

    • Phase 2: Exhibition Builder (Weeks 3-4)

    #### Sequence Planning Tool
  • • Drag-and-drop wall layout
    • - Virtual gallery walls - Timeline sequencing - Narrative flow builder
  • • Metrics-backed curation
    • - Show scores inline - Highlight thematic connections - Gap identification
  • • Export to PDF/presentation
    • #### Paris Photo Readiness Dashboard
  • • Quality threshold tracking
    • - % of works meeting exhibition standards - Technical excellence scores - Print readiness metrics
  • • Coherence analysis
    • - Style consistency across series - Thematic strength - Conceptual development

    Phase 3: Feedback & Analytics (Month 2)

    #### Agent Performance Dashboards For Creators (Solienne/Abraham):
  • • Score trends over time
  • • Style coherence metrics
  • • Conceptual strength evolution
  • • Follower engagement (when ready)
  • • Sales projections
  • • Token contribution tracking
    • For Team/Operators:
  • • Cross-agent comparison
  • • Resource allocation insights
  • • Market readiness indicators
  • • Treasury impact analysis
  • • Runway projections
    • #### Generalized Framework
  • • Agent-agnostic components
    • - Pull data by agent ID - Reusable dashboard widgets - Configurable thresholds
  • • Central configuration
    • - Paris Photo readiness: 85% quality score - Exhibition minimum: 20 INCLUDE works - Series coherence: 75% similarity
  • • Plug-and-play for new agents

    • Phase 4: Economic Integration (Month 2-3)

    #### Token & Revenue Layer
  • • Work-level economics
    • - Revenue per piece - Token distribution model - Collector analytics
  • • Treasury dashboard
    • - Agent contribution tracking - Runway calculations - Distribution projections
  • • Market feedback loops
    • - Price discovery - Demand signals - Collection patterns

    🎨 What We Might Reintroduce

    When Market-Ready (Month 3+)

  • Social Features
    • - Follow/follower mechanics - Public profiles - Community engagement
  • Collection Mechanics
    • - On-chain minting - Wallet integration - Secondary markets
  • Discovery Features
    • - Public galleries - Trending works - Curator highlights

    Always Keep Internal

  • • Budget controls
  • • Quality thresholds
  • • Team dashboards
  • • Backfill tools

    • 🏔️ Big Picture Vision

    Near Term (3 Months)

    Goal: Paris Photo Ready
  • • Solienne with 50+ exhibition-quality works
  • • Abraham with cohesive philosophy series
  • • Professional PDF catalogs
  • • Price lists and edition plans
  • • Full provenance documentation

    • Medium Term (6 Months)

    Goal: Market Launch
  • • Token launch for graduated spirits
  • • Collector onboarding
  • • Physical print fulfillment
  • • Gallery partnerships
  • • Secondary market creation

    • Long Term (12 Months)

    Goal: Sustainable Ecosystem
  • • 10 active agents
  • • Self-sustaining treasuries
  • • Decentralized curation
  • • Global exhibition presence
  • • Creator economy platform

    • 🛠️ Technical Debt & Improvements

    Immediate Needs

  • • [ ] Error handling improvements
  • • [ ] Loading states polish
  • • [ ] Mobile responsiveness
  • • [ ] Image optimization

    • Soon

  • • [ ] Batch upload support
  • • [ ] Work versioning
  • • [ ] Critique history
  • • [ ] Export tools

    • Eventually

  • • [ ] IPFS integration
  • • [ ] Smart contract layer
  • • [ ] Decentralized storage
  • • [ ] P2P curation

    • 💡 Key Insights from This Week

  • Quality gates work - Nina's strict standards create scarcity
  • Workflows beat features - Clear pipelines > many options
  • Team tools first - Internal efficiency before external engagement
  • Data drives decisions - Metrics make curation objective
  • Abstraction enables scale - Generic patterns support all agents

    • 🎯 Success Metrics

    For Solienne/Paris Photo

  • • 50+ INCLUDE works by exhibition date
  • • 85%+ average quality score
  • • 3+ cohesive series identified
  • • Edition plan for top 20 works
  • • Catalog and price list ready

    • For Platform

  • • 5 agents using same pipeline
  • • <$10/day AI costs
  • • 90% automation rate
  • • 1-click bulk operations
  • • Plug-and-play new agents

    • 📝 Final Notes

    The system we built this week provides the foundation for both immediate needs (Solienne's Paris Photo preparation) and long-term vision (decentralized creator economy). By focusing on internal team tools first, we've created a robust pipeline that can scale to support multiple agents while maintaining quality standards.

    The key is maintaining this balance: rich enough for meaningful creative practice, simple enough for daily use, flexible enough for different agent styles, and robust enough for commercial outcomes.

    Next Priority: Implement the Practice Calendar and Product Categorization to give Solienne concrete tools for Paris Photo preparation while establishing patterns all agents can use.