AI-Powered Hockey Management Simulation
A premium hockey GM simulation where generative AI powers every negotiation, rivalry, and scouting report.
Service
Full-Stack Development, Generative AI, Game Simulation, Responsive Web
The Challenge
Traditional hockey management games use deterministic engines and static trade logic. Negotiations are reduced to sliders, AI opponents follow predictable patterns, and scouting is just reading a spreadsheet. There is no pressure, no politics, and no consequences for how you treat the league.
The genre needed a simulation where the AI opponents felt like real competitors—not scripts waiting to accept a fair trade.
My Solution
I built Rinkside GM as a premium, AI-native hockey management simulation. At its core is a generative AI engine that powers every interaction—from contract negotiations with agents who remember your past lowball offers, to rival GMs whose trading strategies shift based on ownership pressure and job security.
Key Features
- Gen AI Negotiations
- Deep Scouting
- AI League Generation
- Multiplayer
- Context-Aware Negotiations: Submit structured contract offers and receive contextual counter-offers from AI agents with unique personalities, hidden agendas, and memories of past deals.
- Deep Scouting System: Prospects have hidden traits (Party Animal, Coach's Son, Injury Prone) that only quality scouts can reveal. Attribute accuracy depends on regional coverage and budget.
- AI Team Generation: Configure your league structure and watch as AI generates complete teams with rosters, staff, history, and unique strategic identities.
- Narrative Engine: Beat writers question your decisions, locker rooms fracture, and rivalries ignite organically through generated headlines and media pressure.
- Multiplayer Support: Invite friends to join your league with randomized team drafts and auto-simulation scheduling.
- Full league simulation
- 32 teams
- Powers every interaction
- Gen AI
- Annual entry draft
- 7 rounds
- Solo development
- End-to-end
