Weather-based staffing automation

Operations managers rebuild the same weather-versus-staffing judgement call every morning.

A workflow that pulls the daily forecast and branches into one of two analysis prompts depending on whether conditions are severe or standard, delivering a tailored staffing and operations recommendation each morning.

Demonstrates conditional branching into distinct prompts based on external data. Built and tested against live forecast data.

• Workflow design
• Prompt engineering
• Evaluation & testing

1. 01A scheduled step pulls the day's forecast for a configured location.
2. 02A condition check routes to a severe-weather prompt or a standard-conditions prompt.
3. 03The resulting recommendation is emailed to a configured inbox each morning.

Zapier workflow with an OpenWeather fetch, a path split on weather condition, and two separately written Gemini prompts.

• Recommendations are advisory text with no connection to a scheduling system.
• The severe-versus-standard split is a binary rule, which is coarser than real operational judgement.