EXPERIMENT LOG / ACTIVE
Make small things.
Learn from reality.
The lab is where unfinished questions become prototypes—IoT, computer vision, search, automation, and useful applications of AI.
4 active experimentsUpdates as learning happens
Raspberry Pi Motion Detection
A privacy-aware edge vision experiment for useful home signals.
PythonOpenCVPi
- MOTIVATION
- Turn a practical question into an observable prototype.
- NEXT STEP
- Document the next failure mode and test it with real inputs.
BLE Device Scanner
Mapping nearby device signals and learning where noisy data misleads.
BLEIoTPython
- MOTIVATION
- Turn a practical question into an observable prototype.
- NEXT STEP
- Document the next failure mode and test it with real inputs.
Search Quality Evaluation
A human-readable scorecard for relevance beyond conversion.
SearchAnalytics
- MOTIVATION
- Turn a practical question into an observable prototype.
- NEXT STEP
- Document the next failure mode and test it with real inputs.
AI Research Assistant
Testing multi-agent synthesis with explicit evidence and review gates.
AIResearch
- MOTIVATION
- Turn a practical question into an observable prototype.
- NEXT STEP
- Document the next failure mode and test it with real inputs.
Some experiments stay intentionally small.
If it teaches something useful, it has done its job—even when it never becomes a product.