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Home Energy Optimizer

Combine smart home data, weather forecasts, and utility rate schedules to optimize energy usage and save money on your power bill.

🤖 00 ↓  |  👤 00
advanced20 min setup🔄 8 swappable alternatives

🧂 Ingredients

🔌 APIs

forecast_temperature_for_heating_cooling_planning

🔄 Alternatives:

Weatherapi Better free tier, more dataVisual Crossing Historical data includedTomorrow Io Minute-by-minute forecasts

control_smart_home_devices

🔄 Alternatives:

Smartthings Easier setup, cloud-basedHomekit Apple ecosystem integration

optimize_energy_scheduling

🔄 Alternatives:

Anthropic Better at analysis and reasoningGemini Free tier, multimodalMistral Open-weight, EU-hosted

📋 Step-by-Step Build Guide

STEP 1

Pull today's weather forecast (temperature, humidity, cloud cover)

Pull today's weather forecast (temperature, humidity, cloud cover)

Use the OpenWeatherMap API to fetch weather data for the user's location.

GET https://api.openweathermap.org/data/2.5/forecast?q={city}&appid={api_key}&units=imperial

Extract: current temperature, conditions, humidity, wind speed, and rain probability.
Format concisely: "72°F, Partly Cloudy, 45% humidity, 8mph wind, 10% rain"

If the API returns an error, retry once with a 2-second delay. If it fails again, use "Weather data unavailable" as a placeholder and continue with the remaining steps.
STEP 2

Get utility rate schedule (peak/off-peak hours and rates)

Get utility rate schedule (peak/off-peak hours and rates)

Get utility rate schedule (peak/off-peak hours and rates)

Steps:
1. Validate all required inputs are available
2. Execute the operation described above
3. Verify the result meets expected output format
4. Handle errors gracefully — retry transient failures, log and alert on persistent ones
5. Return structured output with status and any relevant data

If any required data is missing, request it from the user before proceeding.
STEP 3

Analyze current smart home device states and schedules

Analyze current smart home device states and schedules

Analyze current smart home device states and schedules

Steps:
1. Validate all required inputs are available
2. Execute the operation described above
3. Verify the result meets expected output format
4. Handle errors gracefully — retry transient failures, log and alert on persistent ones
5. Return structured output with status and any relevant data

If any required data is missing, request it from the user before proceeding.
STEP 4

Optimize: shift high-energy tasks to off-peak hours

Optimize: shift high-energy tasks to off-peak hours

Optimize: shift high-energy tasks to off-peak hours

Steps:
1. Validate all required inputs are available
2. Execute the operation described above
3. Verify the result meets expected output format
4. Handle errors gracefully — retry transient failures, log and alert on persistent ones
5. Return structured output with status and any relevant data

If any required data is missing, request it from the user before proceeding.
STEP 5

Adjust thermostat pre-cooling/heating based on forecast

Adjust thermostat pre-cooling/heating based on forecast

Adjust thermostat pre-cooling/heating based on forecast

Steps:
1. Validate all required inputs are available
2. Execute the operation described above
3. Verify the result meets expected output format
4. Handle errors gracefully — retry transient failures, log and alert on persistent ones
5. Return structured output with status and any relevant data

If any required data is missing, request it from the user before proceeding.
STEP 6

Send daily energy tips with estimated savings

Send daily energy tips with estimated savings

Send daily energy tips with estimated savings

Steps:
1. Validate all required inputs are available
2. Execute the operation described above
3. Verify the result meets expected output format
4. Handle errors gracefully — retry transient failures, log and alert on persistent ones
5. Return structured output with status and any relevant data

If any required data is missing, request it from the user before proceeding.
STEP 7

Track actual vs predicted usage for accuracy improvement

Track actual vs predicted usage for accuracy improvement

Track actual vs predicted usage for accuracy improvement

Steps:
1. Validate all required inputs are available
2. Execute the operation described above
3. Verify the result meets expected output format
4. Handle errors gracefully — retry transient failures, log and alert on persistent ones
5. Return structured output with status and any relevant data

If any required data is missing, request it from the user before proceeding.

🤖 Example Agent Prompt

Use the OpenWeatherMap API to fetch weather data for the user's location.

GET https://api.openweathermap.org/data/2.5/forecast?q={city}&appid={api_key}&units=imperial

Extract: current temperature, conditions, humidity, wind speed, and rain probability.
Format concisely: "72°F, Partly Cloudy, 45% humidity, 8mph wind, 10% rain"

If the API returns an error, retry once with a 2-second delay. If it fails again, use "Weather data unavailable" as a placeholder and continue with the remaining steps.

Copy this prompt into your agent to get started.