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5 million concurrent.
Zero failed requests.

A scale-architecture and Language Intelligence deployment. Real-time quiz platform integrated with TV broadcast, with AI question generation and human editorial gate.

Fine-tuned LLMRedisKafkaHorizontal scale tierGrafana

CLIENT CONTEXT

A flagship TV-integrated interactive experience. Millions of viewers connected simultaneously, answering questions in sync with the live broadcast. No margin for latency, no allowance for request failure.

THE PROBLEM

Peak concurrency of 5M users arriving in a window of seconds. Off-the-shelf quiz platforms buckle at a fraction of that load. Editorial team cannot produce the volume of questions at the pace the format demands.

How We Approached It

Four phases.
Each one auditable.

01

AI generation pipeline

Fine-tuned LLM generates candidate questions from curated source material. Multi-agent validation checks difficulty, uniqueness, and factual grounding.

02

Human editorial gate

Every AI-generated question clears human editorial review before entering the active pool. The AI accelerates; it does not replace the editor.

03

Scale architecture

Stateless API tier behind a regional load balancer. Redis-based response ingest. Event batching to downstream analytics. Designed for 10M sustained concurrent.

04

Live operations

Runbook, monitoring, on-call support through every live event. Zero failed request budget.

5 million concurrent.Zero failed requests.

Four phases.Each one auditable.

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5 million concurrent.
Zero failed requests.

Four phases.
Each one auditable.