Priya's Wednesday, two ways

Priya, a property manager for a mix of apartments and small commercial units.

Priya manages 140 units across three buildings and a small strip of offices. On a normal Wednesday, she starts at 7:30 with coffee and 62 unread emails. A tenant in 3B says the radiator clanks all night. A plumber left a voicemail that is hard to follow. The owner of the Maple Street building wants the monthly numbers by Friday.

Before the course, Priya would spend the morning rewriting a reply to 3B, then listen to the plumber's voicemail three times to build a work order. Now she opens ChatGPT. She pastes the tenant message and uses the Tenant Communication Basics prompt: 'Write a warm reply to a tenant about a clanking radiator. Say we will send someone Thursday between 9 and 11. Ask them to note if it happens when the heat first comes on.' The draft is ready in seconds. She adds one line about the building's quiet hours and sends it.

Next, she uses Maintenance Request Triage. She types the plumber's scattered notes and asks for a clean work order with a priority level. The AI sorts it into 'urgent: no heat in unit 3B' and 'routine: dripping faucet in 5A.' Priya checks the details, assigns the jobs, and moves on. Later, she uses Rent Collection and Delinquency to draft a reminder for a tenant who is four days late, with a clear path if the rent is not paid by Friday. She reads it, softens one sentence, and sends.

By 4pm, she uses Owner Reporting and Financials to turn her notes into a short update for the Maple Street owner. The prompt asks for three paragraphs: what happened, what it cost, and what is coming next. Priya adds the roof repair quote and sends it. She leaves at 5:15, picks up her daughter from soccer, and does not open her laptop again that night.