This reverts the honest/reality-check version (v2.1.0) back to the
marketing-focused v2.0.0 version with optimistic performance claims.
Changes:
- Restored "parallel" language instead of "concurrent"
- Restored "60-70% token reduction" claims
- Restored "40-50% faster" performance claims
- Removed reality-check disclaimers and documentation links
- Removed honest token cost analysis
Note: This is the version currently installed in ~/.claude/skills/
Co-Authored-By: Jean-Philippe Brule <jp@svrnty.io>
This update corrects misleading performance and cost claims in the documentation:
CORRECTED CLAIMS:
- Performance: Changed from "40-50% faster" to "20-30% faster" (honest observation)
- Token Cost: Changed from "60-70% savings" to "1.9-2.0x more expensive" (actual cost)
- Parallelism: Clarified "concurrent requests" vs "true parallel execution"
- Architecture: Updated from "parallel" to "concurrent" throughout
NEW DOCUMENTATION:
- REALITY.md: Honest assessment and reality vs. marketing
- ARCHITECTURE.md: Technical details on concurrent vs. parallel execution
- TOKEN-USAGE.md: Detailed token cost breakdown and optimization strategies
UPDATED FILES:
- master-orchestrator.md: Accurate performance, cost, and when-to-use guidance
- README.md: Updated architecture overview and trade-offs
KEY INSIGHTS:
- Concurrent agent architecture IS valuable but for different reasons:
* Main thread context is clean (20-30% of single-agent size)
* 4 independent expert perspectives (genuine value)
* API rate limiting affects actual speed (20-30% typical)
* Cost is 1.9-2.0x tokens vs. single agent analysis
- Best for enterprise quality-critical work, NOT cost-efficient projects
- Includes decision matrix and cost optimization strategies
This update maintains technical accuracy while preserving the genuine benefits
of multi-perspective analysis and context isolation that make the system valuable.
