Designing an AI-enabled experience that feels helpful, not automated.
I designed a friendly AC Help Guide that helps homeowners make sense of AC issues before deciding whether to book service or call for help.
A homeowner knows their AC is not working, but does not know what service to book or whether the issue is urgent. The AC Help Guide lets them describe the problem in their own words, then uses AI to suggest symptoms and recommend the next step.
The AC Help Guide starts as a simple homepage prompt for customers who know something is wrong but are not sure what to do next. Expanding the prompt opens a guided flow without adding complexity to the homepage.
A lightweight entry point for uncertain homeowners
Turning plain-language input into useful next steps.
The homeowner can describe the issue in their own words. AI-suggested symptoms reflect what the system understood, while editable chips keep the customer in control.
Product Decisions
Entry point: I started the guide as a small homepage prompt to keep the page simple until the homeowner asks for help.
Turning AC symptoms into a clear next step.
The final step turns the homeowner’s details into a clear recommendation, including urgency, possible causes, reassurance, and options to book or call.
Product Decisions
Human fallback: I kept Call Now visible alongside booking because HVAC issues can feel urgent and some customers will prefer a person. AI supports the decision, but the human path remains available.
Consumer AI UX
Designed AI support that feels helpful, transparent, and easy to act on.
What does this demonstrate?
Confidence through clarity
Kept the homeowner in control by making AI suggestions visible, editable, and non-diagnostic.
Guided Decision Support
Helped users move from uncertainty to a clear next step without forcing them into a chatbot.