# Day 1 – Research Initialization
## Project (DD/MM/YYYY is 04/05/2026)
AI-driven smart home autonomy system (experimental testbed)
## Research Question
How does increasing autonomy affect:
- error rate
- user intervention
- task success
## Hypothesis
Moderate autonomy improves efficiency, high autonomy increases errors.
## System Overview
- Perception: cameras + sensors + pretrained models
- Reasoning: rule-based + AI-assisted
- Action: device control via Home Assistant
- Compute: hybrid edge + central
## Experiment Plan
Compare:
- Low autonomy
- Medium autonomy
- High autonomy
Metrics:
- success rate
- overrides
- critical failures
## Key Constraint
Focus on evaluation, not feature expansion