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UID:pretalx-pycascades-2026-9AJW8X@pretalx.com
DTSTART;TZID=PST:20260322T110000
DTEND;TZID=PST:20260322T114000
DESCRIPTION:Living on Washington State’s peninsula offers endless beauty\
 , nature\, and commuting challenges. In this talk\, I’ll share how I bui
 lt an agentic AI system that creates and compares optimal routes to the ma
 inland\, factoring in ferry schedules\, costs\, driving distances\, and li
 ve traffic. Originally a testbed for the Model Context Protocol (MCP) fram
 ework\, this project now manages my travel schedule\, generates expense es
 timates\, and sends timely notifications for events. I’ll give a compreh
 ensive overview of MCP\, show how to quickly turn ideas into working agent
 ic AI\, and discuss practical integration with real-world APIs. Attendees 
 will leave with MCP Server resources and tutorials and a roadmap for build
 ing their own agentic AI solutions. A comfortable grasp of Python function
 s\, API calls\, framework decorators\, and the role of context with LLMs i
 s recommended.
DTSTAMP:20260521T093842Z
LOCATION:Fletcher Auditorium
SUMMARY:There and back again... but by I-5 or the ferry? - Justin Castilla
URL:https://pretalx.com/pycascades-2026/talk/9AJW8X/
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