Workflow system with three modes (Fast, Selective, Thorough) for AI-assisted development. 3.5x faster and 73% less tokens while maintaining quality.
What I Learned
95% of changes are routine — treat them that way
Token efficiency compounds over time
The methodology matters more than the tools
The Problem
AI-assisted development without a methodology leads to inconsistent results, token waste, and quality drift.
The Approach
Three-mode system where task complexity determines the workflow: Fast mode for routine changes (95% of work), Selective for standard features, Thorough for critical/complex work (5%).
Architecture Decisions
Three-mode system (Fast 95%, Selective default, Thorough 5%)
Token-optimized workflows
Phase-based development (Research > Design > Implement > Test)
Context tier management
Why I Built It This Way
Optimized for token efficiency, not just speed
Built mode selection into workflow, not afterthought
Made methodology documentation-first
Technology Stack
YAMLDocumentationWorkflow DesignPrompt Engineering
Outcomes
Reproducible AI development methodology
Token-efficient workflows
Quality maintained at higher velocity
Started: 2024-07
Production-validated