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The Innovation

We’ve developed a human-AI coordination system that turns AI models into reliable workers. The key insight: AI agents excel at different tasks, and Linear becomes the orchestration layer that routes work to the right agent. This isn’t about replacing humans—it’s about creating a workforce that scales infinitely at near-zero marginal cost.

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The Agent Roster

AgentRoleStrengthsLimitations
Claude (Chat)Strategist/ArchitectBreaking down complex problems, writing specs, planningCan’t execute code, no file access
Cursor (Agent Mode)Builder/ExecutorWriting code, running commands, file operationsCan’t browse web, needs specific instructions
ChatGPTResearcher/AnalystWeb browsing, image generation, broad knowledgeLess precise on code, no file access
Gemini FlashProcessor/ScorerCheap batch operations, image analysis, structured outputLess reasoning depth
Critical distinction: Each agent has a specific capability boundary. The system works because we route tasks to agents that can actually complete them.

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The Workflow

Human Intent
    ↓
Claude breaks down task
    ↓ validates against AGENTS.md patterns
Linear ticket created
    ↓ labels determine routing
Cursor receives specific task
    ↓ validates against SCHEMA.md
Code generated
    ↓ validates against actual codebase
Human reviews & approves
    ↓
Merged to main

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Cost Economics

OperationCostVolume/MonthTotal
Task breakdown (Claude)$0.02/task500$10
Code generation (Cursor)$0.00*Unlimited$0
Batch processing (Gemini)$0.001/op50,000$50
Research (ChatGPT)$0.02/query200$4
*Cursor uses your own API keys or subscription Total operational cost: ~$64/month for a full AI workforce Compare to: One junior developer = $5,000-8,000/month

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The Competitive Moat

Why this matters:
  1. Speed: Tasks that take humans hours complete in minutes
  2. Cost: 95%+ margin on AI operations
  3. Scale: Add infinite workers at near-zero cost
  4. Quality: Validation checkpoints prevent errors
  5. Knowledge: System learns patterns, gets better over time
What competitors miss: Most teams use AI as a chatbot. We use AI as a coordinated workforce with specialized roles, clear handoffs, and validation gates. The Linear integration makes this systematic, not ad-hoc.

Delegation Rules

How tasks route to the right agent

Prompt Templates

Cursor-ready prompt formats

Validation

Zero-hallucination workflow