Overview
A modeled production-backend study measures complete cost per quality-accepted task before and after routing, compression and caching.
The problem
A growing product sent every request through the same expensive execution path and measured usage without an accepted-quality denominator.
The solution
Flocta optimized the backend path while preserving the product experience and measuring token cost together with task quality.
The results
Each result below is modeled against the defined baseline and quality gate. It is not yet an independently verified customer claim.
35% fewer tokens
Compression removed repeated instructions and history.
5% higher quality
Routing matched model strengths to task types.
33% lower cost
The optimized path reduced spend per accepted result.
Conclusion
This study provides a transparent deployment hypothesis for the workload. Flo
cta validates the same path against real company data before any saving is presented as realized.