A renter used Claude and ChatGPT to compile property-management sites and filter listings; results were decent but included some out-of-parameter listings, and he found a place through a friend.
A renter used Claude and ChatGPT to compile property-management sites and filter listings; results were decent but included some out-of-parameter listings, and he found a place through a friend.
Renno Mihalis, 23, had one week to find an apartment in San Francisco after getting a job offer. Rather than using a single rental platform, he used Claude and ChatGPT to compile a list of property management websites. He set search parameters for price, location and apartment size.
The AI did a pretty good job listing apartments within his parameters, but sometimes included ones outside them. He ended up finding a place through a family friend's vacancy.
Mihalis said AI might have helped more if he'd had more than a week, so check every result against your own criteria.
Visit the property-management sites for [list of buildings or companies] in [city] and compile every available listing that fits my criteria: [bedrooms], under [rent] per month, [pets or parking needs], available by [date]. Put them in a table with address, rent, availability, and link, and flag any listing that doesn't exactly meet my criteria. Don't submit applications or contact forms without showing me first.
Score every demo request against your ICP, update HubSpot and ping the right rep in Slack within a minute of the form submit.
Every new Zendesk ticket gets a category, priority and sentiment tag plus a draft reply in an internal note before an agent opens it.
Copilot and Claude review each PR for bugs, missing tests and risky changes before a human looks, so reviewers can focus on design.