Hackathon Portal
AI Tinkerers - Seattle
Team

CooperPath

Project Concept

Cooperation Path - Let’s help multiple players get to an agreed upon resolution when one or more interests seemingly conflict. Family members choosing which movie to watch, couples planning an itinerary for a vacation, plaintiff and defendants in dispute. Each player has their own interests, perhaps there are rules to agree to, there might be guardrails or laws that apply. We can present hypothetical win scenarios to determine boundaries. Players might iterate their way to win/win scenarios. Players only interact with the service, but not directly with each other. Players won’t know if propositions are made by the service or by another player. The service can dis-entangle complicated and seemingly coupled positions. The service acts as a buffer for hostility, hopefully turning the interaction into a net positive encounter.

Entry

Status: Submitted

Last saved: February 28 at 4:45 PM PST

Team Roster

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David Tijerina Team Lead RSVP Approved

VP Product & Engineering at self
contributor
CS background, lots of time in enterprise software in Seattle
AI and how teams can use it to be more productive
RAG, Fine-tuning,, MCP, and vibe coding

Sid Bhagwat RSVP Approved

Program Manager at Amazon
contributor
Entrepreneur
AI
AI Calibration for equipment for data centers

Anwell Wang RSVP Approved

Software Engineer at Databricks
contributor
Anwell Wang is a Software Engineer at Databricks.
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