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Technology
9 min read

Generative AI for Gaming Studios: Building Xbox/PS Wrapped-Style Features Using Open Models

Architecture Overview

  • Ingestion: Game events -> Kafka/SQS -> feature store.
  • Embedding + Search: Open models (e.g., Jina/Instructor) + Qdrant/Weaviate.
  • Template + Gen: Prompt templates with safety layers; image cards via SD/Flux.

Cost Controls

Batch generation, caching top templates, GPU spot instances, and quantized models for inference.

Privacy

Aggregate stats only; user consent; PII stripping; regional storage.

Launch Checklist

  • Data contracts for events.
  • Offline evaluation for recommendation quality.
  • Safety red teaming and jailbreak tests.
  • Rollout flags and fallback static cards.

Tags

Generative AIGamingRecapsOpen ModelsVector SearchCost Optimization
T

TensorBlue Gaming AI Lab

We help studios build personalization and recap experiences with open models, strong safety, and lean infra.