Labs

Technical labs for observability, debug infrastructure, and compute-system thinking.

Public, non-confidential demos exploring observability, debug platforms, eval harnesses, AI infrastructure economics, and quantum-classical systems.

Visual language

Signals, probes, and compute topology.

These visuals connect chip-level state capture, observability probes, and rack-scale infrastructure.

Scan chain path

Serial observability through a chip boundary.

Observability probes

Signal capture points over a simplified die floorplan.

Rack-scale topology

Compute, network, and control-plane structure.

Shifting bits through a scan path
Live

Scan chain / TAP visualizer

Demonstrates: serial state movement through debug paths.

Why it matters: observable state is the foundation for deterministic silicon bring-up.

Tech: HTML canvas, finite-state visualization, scan-register model.

Open demo
Pipeline stage lighting under injected fault
Live

Fault injection / observability demo

Demonstrates: controlled failure injection and root-cause localization.

Why it matters: instrumentation reduces ambiguity when complex systems fail.

Tech: canvas pipeline model, state machine, synthetic telemetry.

Open demo
Useful-output curve responding to constraints
Live

LCI compute economics simulator

Demonstrates: useful-output cost changing under latency and reliability constraints.

Why it matters: raw FLOPS are not the same as usable intelligence.

Tech: canvas plotting, interactive constraints, framework prototype.

Open demo
Prototype

Die floorplanning / chip layout visualizer

Demonstrates: timing, heat, and routing tradeoffs in simplified floorplanning.

Why it matters: platform readiness depends on constraints becoming visible early.

Status: prototype under active refinement.

Agent trace with tool call and escalation checkpoint
Planned

Autonomous agent eval harness

Demonstrates: bounded eval scenarios for tool-using agents with observable actions.

Why it matters: agentic systems need audit trails, not just pass/fail scores.

Related framework: Agent Debuggability Stack

Planned

Quantum-classical control plane sketch

Demonstrates: orchestration, latency, control, and observability around hybrid systems.

Why it matters: quantum systems still depend on accelerated classical infrastructure.

Flagship demo

Scan chain / TAP visualizer

Step a scan register and watch state move through a public, simplified debug path model.

State:
Clock 0
Register:
101100101001
Purpose:
State capture
Status:
Live

Flagship demo

Fault injection / observability demo

Inject a synthetic fault and watch the pipeline highlight where instrumentation isolates the issue.

Isolation:
Execute fault isolated
Purpose:
Root cause
Signal:
Instrumentation
Status:
Live

Flagship demo

LCI compute economics simulator

Adjust latency and reliability to see why useful AI output is not captured by raw compute alone.

Output:
--
Lens:
Cost of usefulness
Domain:
AI economics
Status:
Live