Proof
Case studies
Zylver methodology applied to real systems. Each study includes the problem, the approach, the measurements, and what we would do differently.
What these studies show
Our first studies document Zylver Engineering's own production environment. They show how we use Zylver Forge to coordinate specialized agents and Zylver Meter to replace repeated model calls with deterministic functions. These are internal deployments, with the scope and measurements described in each study.
Read the problem and baseline before comparing the headline numbers. Agent counts, router latency, and the share of operations distilled measure different things. Each result belongs to the workload and observation period reported in that study; it is a reference for evaluating an approach, not a forecast for another team's savings or throughput.
The approach sections explain the implementation choices and operating constraints. The final sections cover what we would change next time. Use those details to compare the work with your own system, then explore the products or contact our team about your use case.
Coordinating 327 specialized agents in one production environment
How Zylver Forge coordinates 327 specialized agents across 11 topologies using typed contracts, cost caps, and policy hooks, keeping p95 latency under 200ms.
327+
Specialized agents in production
100%
Operations instrumented
Distilling 73% of our own AI operations into deterministic functions
How Zylver Meter distilled 73% of our own AI operations into deterministic functions in six weeks, from 327 repeated prompt patterns, with no workflow changes.
73%
Of AI operations distilled
327
Prompt patterns distilled to near-zero-cost