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START HERE - Infinite Loop Variant 4

Quick Overview

This is Infinite Loop Variant 4: Quality Evaluation & Ranking System.

What it does: Generates iterations with automated quality evaluation, ranking, and continuous improvement using the ReAct pattern (Reasoning + Acting + Observation).

Key Innovation: Every iteration is scored across 3 dimensions (Technical, Creativity, Compliance), then ranked and analyzed to drive quality improvement in subsequent waves.

5-Minute Quick Start

1. Understand What You Have

Read these files in order:

README.md (10 min) - Complete system overview
CLAUDE.md (5 min) - How to use with Claude Code
WEB_RESEARCH_INTEGRATION.md (5 min) - How ReAct pattern was applied

2. Try a Simple Command

/project:infinite-quality specs/example_spec.md output/ 5

This will:

Generate 5 iterations
Evaluate each on Technical, Creativity, Compliance
Rank them by composite score
Generate a quality report

3. Review the Output

Check output/quality_reports/ for:

evaluations/*.json - Individual iteration scores
rankings/ranking_report.md - Complete rankings
reports/wave_1_report.md - Comprehensive quality analysis

Directory Guide

.
├── README.md                    ← Start here for full documentation
├── CLAUDE.md                    ← Claude Code usage instructions
├── WEB_RESEARCH_INTEGRATION.md  ← How ReAct pattern was applied
├── DELIVERABLE_CHECKLIST.md     ← Verification of completeness
├── START_HERE.md                ← You are here
│
├── .claude/commands/            ← All commands
│   ├── infinite-quality.md      ← Main command
│   ├── evaluate.md              ← Evaluation utility
│   ├── rank.md                  ← Ranking utility
│   └── quality-report.md        ← Report generation
│
├── specs/                       ← Specifications & standards
│   ├── example_spec.md          ← Example spec with quality criteria
│   └── quality_standards.md     ← Default evaluation standards
│
├── evaluators/                  ← Evaluation logic
│   ├── technical_quality.md     ← How to score technical quality
│   ├── creativity_score.md      ← How to score creativity
│   └── spec_compliance.md       ← How to check compliance
│
├── templates/                   ← Report templates
│   └── quality_report.md        ← Quality report structure
│
└── config/                      ← Configuration
    └── scoring_weights.json     ← Customize scoring weights

What Makes This Variant Special?

1. ReAct Pattern (Reasoning + Acting + Observation)

Every evaluation follows a cycle:

THOUGHT: Reason about quality before scoring
ACTION: Systematically evaluate with evidence
OBSERVATION: Analyze results to inform next actions

This makes evaluation transparent, fair, and continuously improving.

2. Multi-Dimensional Quality

Iterations scored on 3 dimensions:

Technical Quality (35%): Code, architecture, performance, robustness
Creativity Score (35%): Originality, innovation, uniqueness, aesthetic
Spec Compliance (30%): Requirements, naming, structure, standards

Excellence requires balance, not just one dimension.

3. Continuous Improvement (Infinite Mode)

Each wave learns from previous waves:

Top performers reveal success patterns
Quality gaps drive creative directions
Rankings identify improvement opportunities
Strategy adapts based on observations

Common Commands

Generate with Quality Evaluation

# Small batch (5 iterations)
/project:infinite-quality specs/example_spec.md output/ 5

# Medium batch (20 iterations)
/project:infinite-quality specs/example_spec.md output/ 20

# Infinite mode (continuous improvement)
/project:infinite-quality specs/example_spec.md output/ infinite

# With custom scoring weights
/project:infinite-quality specs/example_spec.md output/ 10 config/scoring_weights.json

Evaluate Single Iteration

# Evaluate all dimensions
/evaluate all output/iteration_001.html specs/example_spec.md

# Evaluate specific dimension
/evaluate technical output/iteration_001.html
/evaluate creativity output/iteration_001.html
/evaluate compliance output/iteration_001.html specs/example_spec.md

Rank All Iterations

# Rank by composite score
/rank output/

# Rank by specific dimension
/rank output/ technical
/rank output/ creativity

Generate Quality Report

# Report for all iterations
/quality-report output/

# Report for specific wave (infinite mode)
/quality-report output/ 3

Key Files to Read

For Users

README.md - Complete documentation
specs/example_spec.md - See what a quality-focused spec looks like
specs/quality_standards.md - Understand evaluation criteria

For Developers/Customizers

CLAUDE.md - How Claude Code should use this system
evaluators/*.md - Evaluation logic details
config/scoring_weights.json - Customize scoring
templates/quality_report.md - Report structure

For Understanding ReAct Integration

WEB_RESEARCH_INTEGRATION.md - Complete analysis of ReAct application
.claude/commands/infinite-quality.md - See T-A-O structure
evaluators/technical_quality.md - See reasoning in action

Example Output

After running /project:infinite-quality specs/example_spec.md output/ 5:

output/
├── iteration_001.html
├── iteration_002.html
├── iteration_003.html
├── iteration_004.html
├── iteration_005.html
└── quality_reports/
    ├── evaluations/
    │   ├── iteration_001_evaluation.json
    │   ├── iteration_002_evaluation.json
    │   ├── iteration_003_evaluation.json
    │   ├── iteration_004_evaluation.json
    │   └── iteration_005_evaluation.json
    ├── rankings/
    │   ├── ranking_report.md          ← Read this for rankings
    │   └── ranking_data.json
    └── reports/
        └── wave_1_report.md            ← Read this for insights

What You'll Learn

By studying this variant, you'll learn:

ReAct Pattern: How to interleave reasoning, acting, and observation
Quality Assessment: How to evaluate multi-dimensional quality
Continuous Improvement: How observations drive strategy adaptation
Evidence-Based Evaluation: How to ground scores in concrete evidence
Multi-Agent Coordination: How to orchestrate evaluation across agents

Next Steps

✅ Read README.md for complete overview
✅ Run example command to see system in action
✅ Review generated quality reports
✅ Read WEB_RESEARCH_INTEGRATION.md to understand ReAct
✅ Customize scoring weights for your needs
✅ Create your own specs with quality criteria

Questions?

How is this different from original infinite loop? → Adds automated quality evaluation, ranking, and ReAct-driven improvement
What is ReAct? → Reasoning + Acting pattern that interleaves thought and action cycles → See WEB_RESEARCH_INTEGRATION.md for details
Can I customize evaluation criteria? → Yes! Edit specs/quality_standards.md and config/scoring_weights.json
What's infinite mode? → Continuous generation with quality-driven improvement across waves → Each wave learns from previous wave observations
Is this production-ready? → Yes! All commands documented and ready to use → Example spec provided to get started

Credits

Pattern: Infinite Agentic Loop + ReAct Reasoning Web Research: https://www.promptingguide.ai/techniques/react Created: 2025-10-10 Iteration: 4 of infinite loop variant progressive series

Ready to start? Open README.md for the full guide!

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