Turn a chat description into AI crowd previs video passes

Describe a crowd scene in chat and get AI-generated preview videos plus a layout map sent to your team.

How the work actually flows

It branches. Every path runs; runs once per one per preview video pass.

Pattern: Parallel Split (2) ยท Multiple Instances with a priori Design-Time Knowledge (13)

flowchart TD trig(("person describes crowd scene in chat")):::human s0["convert description to simulation specs"]:::svc s1[["generate preview video passes"]]:::mi s2["build crowd zone map"]:::task s3["send previs package"]:::task trig --> s0 s0 -->|"one per one per preview video pass"| s1 s1 --> s2 s2 --> s3 gx{"+ where to send finished package"}:::gate s3 --> gx p00["send to Slack"]:::task gx -->|"team notification"| p00 p10["send via email"]:::task gx -->|"email notification"| p10 p20["log to spreadsheet"]:::task gx -->|"tracking record"| p20 p00 --> out p10 --> out p20 --> out out[/"crowd previs videos and zone map delivered"/]:::out pay{{"faster early crowd scene previsualization"}}:::pay out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
A stepAn outside serviceRuns once per itemA personEvery pathResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
AI Agents & Autonomous SystemsAI Chatbots & AssistantsEmail AutomationMessaging & NotificationsSpreadsheet & Database Ops
Connects
Azure OpenAISlackGmailGoogle Sheets

The problem it solves

Planning a crowd scene means translating a creative brief into simulation-ready specs by hand, then waiting on separate teams to generate previews. That back-and-forth slows down early planning when you need to see options fast.

Who it fits

VFX and layout teams previsualizing crowd scenes for film or animation.

How it works

  1. You describe the crowd scene in chat, including setting, mood, and camera angle
  2. AI turns the description into structured simulation specs
  3. Multiple video preview passes are generated from the specs
  4. A crowd zone map is built showing where groups sit in the frame
  5. The finished previs package is sent to your team on Slack and email, with details logged for tracking
What you get

Crowd scenes you can preview before the shoot

You get AI-generated preview videos and a layout map for any crowd scene you describe, sent straight to your team.

What you get

A set of AI-generated crowd preview videos, a zone map, and a tracked record of the request.

What you need

An Azure OpenAI account, a video generation API, Slack, Gmail, and a Google Sheets account.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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