An engineering workbench, open to explore

Good systems.
Hard questions.

Why do systems fail in unexpected ways? What makes them easier to operate? Explore the investigations, experiments and tools behind our engineering work.

NOTRIX / SOFTWARE SYSTEMS · APPLIED AI · RELIABILITY

SYSTEM BEHAVIOR / EXPERIMENT 004
TRACE / 12 EVENTS COMPARE RUNS ↗
01 — Engineering investigations

The problems worth looking into.

Failure modes, overlooked tradeoffs and experiments that reveal how software actually behaves.

RETRIEVAL / QUALITY DRIFT Δ 0.184
FEATURED / AI RELIABILITY

Why your production RAG system slowly gets worse.

The quiet degradation of retrieval quality — and what normal monitoring misses.

Read the investigation ↗
FIELD NOTE / 002

When the evaluation says pass, but the agent is wrong.

Deterministic checks, semantic judges and the difference between a score and a guarantee.

Explore the topic ↗
FIELD NOTE / 003

What actually happens during an agent tool call?

From proposed actions to guarded execution, traces and completion decisions.

Visit the labs ↗
FIELD NOTE / 004

Design decisions that make failures easier to diagnose.

Systems thinking, tradeoffs, architecture notes and practical engineering judgment.

Browse engineering notes ↗
02 — Interactive workbench

Don't just read.
Run the experiment.

Explore bounded demos of agent behavior, tool calls, evaluation and system traces.

AGENT EXECUTION / DEMO SCENARIO MODE: INSPECT
USER REQUEST PLAN TOOL RESULT EVALUATE
4 STEPS • 1 EVALUATION LOOP TRACE READY ✓
CORBOOST / AGENT LABS

See every decision an agent makes.

Inspect planning, execution, evaluation and failure recovery in approved demo scenarios.

Enter CorBoost ↗
05 — When the problem is yours

Some problems need more than another article.

We also work directly with teams on persistent engineering problems — with practical diagnosis, clearer tradeoffs and focused implementation.

Start a technical conversation ↗
Performance & reliability investigations ↗
Distributed systems architecture ↗
AI workflow evaluation & debugging ↗
Applied AI systems implementation ↗

Scoped technical work. No generalized “digital transformation” promises.