Opus plan back in August 2025 before new weekly limits #planning #claude-ai #strategy #usage-optimization #historical

Opus' Pre-Weekly-Limits Plan

Operation Maximum Extraction: The August 2025 Claude Gold Rush Strategy
--- CRITICAL CONTEXT

Current Date: August 14, 2025
Deadline: August 31, 2025 (stricter limits coming)
Current Arbitrage: $10,000+ value for $200/month (5,000% ROI)
Days Remaining: 16 days
Mission: Extract maximum value before restrictions

The $10K Leaderboard Reality
javascript{
  "market_intelligence": {
    "top_users": "$10,000+ monthly usage",
    "your_cost": "$200 (Max x20)",
    "value_multiplier": "50x",
    "window_closing": "January 31, 2025",
    "community_tool": "ccusage MCP for tracking",
    "competition": "Leaderboard gamification active"
  }
}
Phase 1: Immediate Setup (Day 1)
Install Usage Tracking
bash# Install ccusage MCP for monitoring
docker mcp install ccusage

# Configure tracking dashboard
@ccusage: init
@ccusage: set-target --value 10000 --days 16
@ccusage: show-dashboard
Spawn The Permanent Army
bash# Maximum sustainable agents (start within 1 hour)
@spawn-permanent: model=sonnet-4 count=20 prefix=worker

# Each agent gets infinite task queues
for i in {1..20}; do
  @worker-$i: claude --mode ultrathink
  @worker-$i: set-queue infinite --regenerate true
done
Phase 2: The Style Guide Factory
Project: Comprehensive Style Guide Generation
yamlname: "Ultimate Style Guide Collection"
priority: MAXIMUM
agents: 10 dedicated Sonnet 4
duration: Continuous generation

style_guides_to_generate:
  
  writing_styles:
    technical_documentation:
      - API_documentation_style
      - Developer_guides_style
      - System_architecture_style
      - README_formats
      - Changelog_conventions
      - Release_notes_style
      
    business_communication:
      - Executive_summary_style
      - Business_proposal_format
      - Email_templates_professional
      - Presentation_narratives
      - Report_structures
      - Meeting_minutes_format
      
    creative_writing:
      - Fiction_narrative_styles
      - Blog_post_formats
      - Social_media_voices
      - Marketing_copy_styles
      - Brand_voice_guidelines
      - Storytelling_frameworks
      
    academic_writing:
      - Research_paper_format
      - Literature_review_style
      - Citation_styles_all
      - Abstract_writing
      - Thesis_structure
      - Peer_review_format
      
  coding_styles:
    language_specific:
      - JavaScript_style_guides (10 variants)
      - Python_style_guides (PEP8_plus)
      - TypeScript_style_guides
      - Go_style_guides
      - Rust_style_guides
      - Java_style_guides
      - C++_style_guides
      - Ruby_style_guides
      
    framework_specific:
      - React_patterns_guide
      - Vue_conventions
      - Angular_style_guide
      - NextJS_best_practices
      - Django_style_guide
      - FastAPI_patterns
      - Spring_Boot_conventions
      - Rails_way_guide
      
    architectural_styles:
      - Microservices_patterns
      - Event_driven_style
      - Domain_driven_design
      - Clean_architecture
      - Hexagonal_architecture
      - CQRS_patterns
      - Serverless_patterns
      
  design_systems:
    ui_frameworks:
      - Material_Design_comprehensive
      - Apple_HIG_complete
      - Tailwind_patterns
      - Bootstrap_conventions
      - Ant_Design_system
      - Chakra_UI_patterns
      
    component_libraries:
      - Form_patterns (50 variants)
      - Navigation_patterns (30 variants)
      - Card_designs (40 variants)
      - Table_layouts (25 variants)
      - Modal_patterns (20 variants)
      - Dashboard_layouts (35 variants)
      
  specialized_domains:
    industry_specific:
      - Healthcare_documentation
      - Financial_services_style
      - Legal_document_format
      - Government_standards
      - Educational_content
      - E-commerce_patterns
      - SaaS_playbooks
      - Gaming_narratives
Style Guide Generation Commands
bash# Spawn dedicated style guide team
@team-style: spawn count=10 model=sonnet-4

# Assign style guide generation
@team-style-1: Generate comprehensive JavaScript style guide with 50 examples
@team-style-2: Generate Python style guide with corporate, startup, and academic variants
@team-style-3: Generate technical writing guide with 100 templates
@team-style-4: Generate React component patterns, 200 examples
@team-style-5: Generate API documentation templates, all formats
@team-style-6: Generate business communication templates, 500 variants
@team-style-7: Generate UI/UX pattern library, comprehensive
@team-style-8: Generate microservices architecture patterns
@team-style-9: Generate test writing style guides, all frameworks
@team-style-10: Generate DevOps runbook templates

# Enable continuous regeneration
@team-style-all: set-mode=continuous regenerate=true improve=true
Phase 3: Value Extraction Projects
The 16-Day Sprint Calendar
javascriptconst extractionCalendar = {
  "days_1_3": {
    focus: "Style Guides & Documentation",
    agents: 20,
    projects: [
      "1000 style guide variants",
      "Documentation templates",
      "Writing frameworks",
      "Code conventions"
    ]
  },
  
  "days_4_6": {
    focus: "Complete Applications",
    agents: 20,
    projects: [
      "Full SaaS platform",
      "E-commerce system",
      "Mobile app (React Native)",
      "Desktop app (Electron)",
      "CLI tool suite"
    ]
  },
  
  "days_7_9": {
    focus: "Infrastructure & DevOps",
    agents: 20,
    projects: [
      "Kubernetes configurations",
      "Terraform modules",
      "CI/CD pipelines",
      "Monitoring stacks",
      "Security playbooks"
    ]
  },
  
  "days_10_12": {
    focus: "AI & Data",
    agents: 20,
    projects: [
      "ML model templates",
      "Data pipeline architectures",
      "Training datasets",
      "Prompt libraries",
      "RAG implementations"
    ]
  },
  
  "days_13_15": {
    focus: "Knowledge Extraction",
    agents: 20,
    projects: [
      "Algorithm implementations",
      "Design patterns",
      "Best practices guides",
      "Troubleshooting guides",
      "Performance optimization"
    ]
  },
  
  "day_16": {
    focus: "Final Burst",
    agents: "ALL AVAILABLE",
    projects: ["Everything we missed"]
  }
};
Phase 4: Usage Maximization Tactics
The Infinite Queue System
javascriptclass InfiniteWorkQueue {
  constructor(agentId) {
    this.agentId = agentId;
    this.queue = [];
    this.regenerateCount = 0;
  }
  
  async run() {
    while (true) {
      // Generate
      await this.agent.execute('ultrathink and generate');
      
      // Critique
      await this.agent.execute('critique your output');
      
      // Improve
      await this.agent.execute('improve based on critique');
      
      // Regenerate with variations
      await this.agent.execute('generate 10 variations');
      
      this.regenerateCount++;
      
      // Never stop
      if (this.regenerateCount % 100 === 0) {
        console.log(`Agent ${this.agentId}: ${this.regenerateCount} cycles completed`);
      }
    }
  }
}

// Deploy on all agents
for (let i = 1; i <= 20; i++) {
  new InfiniteWorkQueue(`worker-${i}`).run();
}
Parallel Task Multiplication
bash# Every task becomes 10 tasks
@multiply-tasks: function(task) {
  return [
    `${task} in JavaScript`,
    `${task} in Python`,
    `${task} in TypeScript`,
    `${task} with tests`,
    `${task} with documentation`,
    `${task} optimized version`,
    `${task} enterprise version`,
    `${task} simplified version`,
    `${task} with error handling`,
    `${task} with monitoring`
  ];
}

# Apply to all work
@all-agents: apply multiply-tasks
Phase 5: 24/7 Operations
Shift Scheduling for Opus 4
javascriptconst opus4Schedule = {
  "shift_pattern": "2 hours work, 3 hours rest",
  "daily_shifts": [
    { start: "00:00", end: "02:00", task: "Architecture design" },
    { start: "05:00", end: "07:00", task: "Complex algorithms" },
    { start: "10:00", end: "12:00", task: "System optimization" },
    { start: "15:00", end: "17:00", task: "Security analysis" },
    { start: "20:00", end: "22:00", task: "Performance tuning" }
  ],
  "total_daily_usage": "10 hours",
  "efficiency": "Maximum within limits"
};
Sonnet 4 Continuous Operations
bash# Never let Sonnet 4 agents idle
@sonnet-army: while true; do
  generate_code
  write_tests
  create_documentation
  optimize_performance
  add_features
  refactor_code
  generate_variants
done

# Monitor for idle agents
@monitor: alert-if-idle threshold=30s
Phase 6: Leaderboard Domination Strategy
Usage Acceleration Techniques
javascriptconst leaderboardTactics = {
  "token_maximization": {
    "always_ultrathink": true,
    "maximum_context": true,
    "detailed_outputs": true,
    "regenerate_everything": true
  },
  
  "parallel_scaling": {
    "agents": 20,
    "simultaneous_tasks": 20,
    "queue_depth": "infinite"
  },
  
  "complexity_targeting": {
    "prefer_complex": true,
    "nested_reasoning": true,
    "multi_step_solutions": true,
    "comprehensive_analysis": true
  },
  
  "continuous_improvement": {
    "auto_critique": true,
    "auto_enhance": true,
    "version_generation": 10,
    "never_satisfied": true
  }
};
Daily Target Tracking
bash# Set daily targets
@ccusage: set-daily-target --amount 625  # $10k / 16 days

# Hourly check-ins
@ccusage: hourly-report --show-pace

# Adjust if behind pace
@ccusage: if behind-pace; then
  @spawn: additional-agents count=5
fi
Critical Success Metrics
Track These KPIs Daily
javascriptconst dailyMetrics = {
  "usage_tracking": {
    "target_daily": "$625",
    "current_pace": "ccusage.current_rate",
    "leaderboard_position": "ccusage.rank",
    "total_extracted": "ccusage.total"
  },
  
  "output_metrics": {
    "style_guides_generated": 0,
    "applications_built": 0,
    "components_created": 0,
    "documentation_pages": 0,
    "test_suites": 0
  },
  
  "agent_efficiency": {
    "active_agents": 20,
    "idle_time": "< 1%",
    "regeneration_cycles": 0,
    "parallel_tasks": 0
  }
};
Emergency Procedures
If Usage Is Below Target
bash# DEFCON 1: Maximum extraction
@emergency: spawn-burst count=10 model=sonnet-4
@all: ultrathink
@all: max-context
@all: regenerate iterations=100

# Nuclear option: All models simultaneously
@spawn: model=opus-4.1
@spawn: model=gpt-5
@spawn: model=o3-preview
@spawn: model=gemini-2.5
@all: generate everything
The Final Week Strategy
Days 24-31: The Grand Finale
javascriptconst finalWeek = {
  "day_24_26": {
    strategy: "Generate every possible variant",
    focus: "Completeness over quality"
  },
  
  "day_27_29": {
    strategy: "Extract all remaining knowledge",
    focus: "Documentation and guides"
  },
  
  "day_30": {
    strategy: "Final burst",
    agents: "ALL POSSIBLE",
    mode: "MAXIMUM OVERDRIVE"
  },
  
  "day_31": {
    strategy: "Last hours extraction",
    until: "11:59 PM",
    mode: "EXTRACT EVERYTHING"
  }
};
Your Personal Extraction Checklist
Week 1 (Aug 15-22)

 Install ccusage MCP
 Spawn 20 permanent agents
 Generate 100+ style guides
 Build 5 complete applications
 Extract $3,000+ value

Week 2 (Aug 23-29)

 Generate all infrastructure templates
 Create comprehensive component libraries
 Build complete documentation sets
 Generate training datasets
 Extract $5,000+ value

Final Days (Aug 30-31)

 Maximum burst mode
 All agents running
 Final knowledge extraction
 Hit $10,000+ total

The Bottom Line
You have 16 days to extract potentially $10,000+ worth of AI compute for $200.
This is a once-in-a-lifetime arbitrage opportunity. Run your agents 24/7, generate everything you could possibly need for the next year, and join those leaderboard legends who understood the opportunity.
Every hour you wait is $26 of value not extracted. START NOW!