CLIENT: AFAS LIVE

Quantifying
the unknown.

The Challenge

Venues rely on gut feel and promoter assurances to assess crowd risk, reputational exposure, and operational complexity. When a high-profile act goes wrong, the venue absorbs the fallout.

The Protocol

We built Venue Vera, a swarm of AI agents that cover booking risk, operational risk, and F&B predictions for each show. Dual-model verification across each workflow catches blind spots a single model would miss.

STACKNext.js / OpenAI / Grok (XAI)
ORCHESTRATIONn8n / Supabase
OUTPUTRisk PDF / Dashboard
internal.afaslive.partoftheprotocol.com/risk/analysis
Risk Level
HIGH
Analysing
Deftones
Red Flags
3 FLAGS

Risk Score History (Dual-Model Average)

HIGH RISK THRESHOLD: 70

Agent Activity Log

Live
15:54:26
Risk score elevated — 3 red flags identified for Deftones
15:54:32
Grok analysis complete. Confidence: 84%
15:54:38
OpenAI analysis complete. Confidence: 91%
15:54:44
Processing: Deftones — event data ingested

The Dual-Model Approach

OpenAI runs deep background research — promoter history, artist track record, past incidents, demographic shifts. Grok taps into real-time X posts to gauge how audiences responded during earlier tour legs. Two different lenses on the same show, merged into one intelligence report.

Instead of a spreadsheet of scores, venue teams get actionable watch-fors their security teams can brief on before doors open. The agent does the research a venue team would spend days on, in minutes.

Under 20 Minutes

From booking request to a full risk intelligence report with actionable briefing points for the security team.

Dual-Model Verification

OpenAI for deep background research, Grok for real-time audience sentiment — merged into one report.

Multi-Agent Architecture

Each agent owns its workflow — booking risk, ops risk, and F&B — scaling from two to ten agents per venue.

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