Weather Chat Agent
Intelligent Routing with OpenAI Agent Builder
Intelligent chat agent built with OpenAI Agent Builder and ChatKit UI featuring a Router Agent that intelligently decides between weather queries (with widget output) and general conversation. Demonstrates structured output, conditional If/Else logic, and advanced agentic workflows with task routing.
Why it mattered
Demonstrates advanced agent routing patterns; Natural weather integration; Conversational UI
What shipped
Intelligent chat agent built with OpenAI Agent Builder and ChatKit UI featuring a Router Agent that intelligently decides between weather queries (with widget output) and general conversation. Demonstrates structured output, conditional If/Else logic, and advanced agentic workflows with task routing.
Proof signal
Demonstrates advanced agent routing patterns; Natural weather integration; Conversational UI
System flow
User Input -> Route Decision -> Weather Query/Chat -> Structured Output -> Widget Display.
Honest maturity snapshot
Manual questions, scattered context, and slow follow-up.
An agent workflow that routes intent, calls tools, and returns useful next actions.
Features
- OpenAI Agent Builder integrated into the workflow.
- ChatKit UI integrated into the workflow.
- TypeScript integrated into the workflow.
- Weather API integrated into the workflow.
- User Input stage documented in the delivery flow.
- Route Decision stage documented in the delivery flow.
Engineering challenges
- Keeping the implementation clear enough to explain while still solving the core technical problem.
- Choosing a scope that could be shipped, tested, and documented.
- Turning technical work into proof a visitor can evaluate quickly.
Results
- Demonstrates advanced agent routing patterns; Natural weather integration; Conversational UI
- Documented the engineering path and important learnings.
- Made source code or technical proof available for review.
What I learned
- Tradeoff learned: Keeping the implementation clear enough to explain while still solving the core technical problem.
- Proof learned: Demonstrates advanced agent routing patterns; Natural weather integration; Conversational UI
- Next iteration: Add richer screenshots or a narrated demo.