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AI Video Analysis workflow blueprint

Analyze stored videos using sampled key frames and best-effort speech transcription

See where this blueprint fits in the production workflow lifecycle
Sequential
Video
Vlm
Analysis
Multimodal
Thinking
Use this blueprint
Pattern
Sequential
Agents
1
Functions
1
MCP servers
0

What the Video Analysis blueprint does

Suggested starting request

I analyze a video stored in GraphN using key frames and optional speech transcription. Provide its storage path and, optionally, an analysis focus, model tier, and reasoning preference.

Inputs for the Video Analysis workflow

Provide the following information when starting this workflow. Required inputs are validated before the first workflow stage runs.

  • Video

    Required

    Video file path including storage bucket (e.g. 'default/chat/conv123/video.mp4')

    Type: String

  • Prompt

    Optional

    Analysis focus (e.g. 'Summarize this meeting')

    Type: StringSource default or example: Provide a comprehensive analysis of this video.

  • Tier

    Optional

    Model tier: 'base' (fast) or 'large' (more capable)

    Type: StringSource default or example: base

  • Thinking

    Optional

    Enable model reasoning mode for deeper analysis

    Type: BooleanSource default or example: true

Input template

This request shape is generated from the blueprint's input schema. Angle-bracket values are placeholders; defaults and examples appear only when the source blueprint defines them.

{
  "video": "<required string>",
  "prompt": "Provide a comprehensive analysis of this video.",
  "tier": "base",
  "thinking": true
}

How the Video Analysis AI workflow works

This data & analytics blueprint uses a sequential workflow with 1 agent, 1 function, and 0 MCP servers. Open it in GraphN to customize the resources, inputs, and workflow behavior for your use case.

  1. Analyze

    Function using Analyze Video

  2. Synthesize

    Agent using Report Synthesizer

Blueprint resources and prerequisites

These are the actual agents, functions, and MCP servers declared by the blueprint. If an MCP server connects to an external system, configure the required connection and credentials in your GraphN workspace before running the workflow.

AI agent

Report Synthesizer

Function

Analyze Video

Workflow output contract

The completed workflow makes the following output available to downstream steps, applications, or API clients:

Result

Frequently asked questions

What does the Video Analysis blueprint do?
Analyze stored videos using sampled key frames and best-effort speech transcription
What inputs does the Video Analysis workflow use?
The workflow uses Video, Prompt, Tier, Thinking. Required fields and their expected formats are listed on this page.
What resources are included in the Video Analysis blueprint?
The blueprint contains 1 AI agent, 1 function, 0 MCP servers. Its workflow pattern is Sequential.
Can I customize the Video Analysis blueprint in GraphN?
Yes. Open the blueprint in GraphN to customize its inputs, models, resources, and workflow behavior before deployment.

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