Best Practices

These recommendations will help you get the most accurate, reliable, and useful results from Asset Intelligence.

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1. Start with Rooms (Areas)

Define your rooms correctly in Home Assistant first.

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Why It Matters

• Rooms determine environment context
• Assets inherit room conditions
• Sensors are mapped at the room level

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Best Practices

✅ Use consistent room names
✅ Ensure sensors physically belong to the correct room
✅ Avoid duplicating room concepts

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2. Configure Sensors Thoughtfully

Do not rely on default assumptions.

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Focus on What Matters

Different rooms require different sensors:

Room Type	Recommended Sensors
Living Space	Temperature, Humidity
Art / Sensitive	Lux, UV, Humidity
Mechanical	CO₂, Air Quality
Storage	Humidity, Mold

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Best Practices

✅ Map one clear sensor per measurement
✅ Avoid overlapping or duplicate sensors
✅ Add Lux/UV where exposure matters

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3. Define Realistic Environment Limits

Avoid overly strict or unrealistic thresholds.

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Why It Matters

• Too strict → constant alerts
• Too loose → missed risk

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Best Practices

✅ Start with reasonable ranges
✅ Adjust over time based on behavior
✅ Align with asset sensitivity

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4. Use Labels Consistently

Labels are your primary categorization tool.

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Best Practices

✅ Keep labels simple (tv, artwork, wine)
✅ Reuse labels across assets
✅ Avoid duplicates (tv vs television)
✅ Use multiple labels where useful

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5. Provide Accurate Asset Context

The more contextual information you provide, the better the system performs.

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Important Fields

• Near window
• Facing direction
• Placement details
• Exposure sensitivity

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Best Practices

✅ Set placement accurately
✅ Identify window proximity
✅ Use orientation when relevant

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6. Complete Sensor Coverage for Critical Rooms

Partial sensor coverage reduces system confidence.

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Common Gaps

• Missing Lux
• Missing UV
• Missing air quality

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Best Practices

✅ Prioritize complete coverage in sensitive rooms
✅ Accept partial coverage where appropriate
✅ Use advisory messages as guidance

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7. Understand Risk vs Advisory

Do not confuse system outputs.

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Best Practices

✅ Use risk for decision-making
✅ Use advisory for understanding
✅ Review reasons before acting

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8. Let Debounce Work

Do not try to react instantly to spikes.

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Why It Matters

• Prevents false positives
• Stabilizes system behavior

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Best Practices

✅ Allow time for confirmation
✅ Avoid over-reactive automations

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9. Build Automation Carefully

Automation should respond to confirmed conditions.

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Best Practices

✅ Trigger on RED (confirmed issues)
✅ Use advisory for notifications
✅ Combine with time or occupancy conditions

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Example

• RED → Close shades
• AMBER → Send notification

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10. Use Activity History

Do not rely only on current state.

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Best Practices

✅ Review history when troubleshooting
✅ Identify recurring issues
✅ Validate that changes improved conditions

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11. Maintain Document Storage

Treat document storage as part of the system.

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Best Practices

✅ Use reliable external storage (NAS)
✅ Organize documents consistently
✅ Include metadata (type, date, notes)

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12. Treat Assets as Real-World Objects

Think beyond “devices.”

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Best Practices

✅ Model things that matter
✅ Include ownership, value, and placement
✅ Keep descriptions meaningful

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13. Improve Over Time

Do not aim for perfection on day one.

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Best Practices

✅ Start simple
✅ Add sensors gradually
✅ Refine limits over time
✅ Use advisory feedback to improve

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Summary

To get the most from Asset Intelligence:

• Model your rooms correctly
• Configure sensors intentionally
• Define realistic limits
• Provide accurate asset context
• Use labels consistently
• Trust the system’s evaluation
• Use automation thoughtfully

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The goal is not just automation.

The goal is awareness that leads to better decisions.