The 3-Layer Architecture
Declare what should connect. Verify data actually flows. Learn what healthy looks like. Predict failures before they happen.
The Problem It Solves
Wiring Failures: AI agents write code that passes every test but silently does nothing. Dead pipelines, phantom services, hardcoded defaults, and stale integrations — all invisible to traditional testing and monitoring.
How It Works
Silent Wiring takes a different approach from infrastructure observability tools like Datadog (which excels at latency, throughput, and error rates, and has recently added warehouse-level data quality monitoring) and contract testing tools like Pact. These tools answer ‘is data moving?’ and ‘does the schema match?’ CleanAim answers a different question: ‘is the data that’s moving meaningful, and does it produce correct behavioral output at every connection point?’
The system works in three layers, each building on the previous one. Together they create complete behavioral verification — from declaration to continuous monitoring to predictive detection.
We built this because we needed it. When we pointed it at our own 1.1 million-line codebase, it found failures that had been invisible for months. Now it’s how we verify every deployment.
Key Components
Layer 1: Declare Your Topology
Explicitly define every service connection, data flow, and integration point. Not as documentation — as executable declarations that the system can verify. Every service declares what it connects to, what data it expects, and what output it produces. These declarations become the verification contract.
Layer 2: Verify Continuously
Behavioral liveness checks prove data actually flows through each declared connection. Not once. Not just in CI. Continuously in production. Each check verifies end-to-end behavior: data goes in, correct output comes out, within expected time bounds. If a pipeline is dead, you know within minutes — not months.
Layer 3: Learn and Predict
Compound learning from 57,000+ verified behaviors. The system learns what ‘healthy’ looks like for each flow and detects degradation patterns before they become failures. A pipeline slowing down, a service returning fewer results, an integration producing less valid output — all detected before they go silent.
Behavioral Health Dashboard
Every service, pipeline, and integration gets a real-time behavioral health status — not based on whether it responds, but based on whether it actually does useful work.
Data flowing within the last check cycle. Behavioral output matches expected pattern. Volume and latency within learned norms.
Data flowing but degraded. Response times outside normal range, output volume dropping, or behavioral pattern drifting from baseline. Intervention recommended.
No meaningful data flow detected. Service responds to health checks but produces no behavioral output. This is the silent wiring failure — and this is what no other tool catches.
The Evidence
See Silent Wiring in action on your codebase
Get a Silent Wiring Diagnostic. We’ll map your topology, identify behavioral gaps, and classify every flow as ACTIVE, STALE, or DEAD.
Get Your Silent Wiring Diagnostic