Summarize YouTube comments into themes and sentiment reports

Reads every comment on your YouTube videos and turns them into a clear summary of themes, sentiment, and common questions.

How the work actually flows

It branches. Every path runs.

Pattern: Parallel Split (2)

flowchart TD trig>"new video comments arrive"]:::trig s0["AI groups comments by topic"]:::svc s1["extract themes and sentiment"]:::svc trig --> s0 s0 --> s1 gx{"+ log summary or alert team"}:::gate s1 --> gx p00["log summary to spreadsheet"]:::task gx -->|"log record"| p00 p10["send slack alert"]:::task gx -->|"notify team"| p10 p00 --> out p10 --> out out[/"comment themes and sentiment summarized"/]:::out pay{{"audience feedback surfaced without reading everything"}}:::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
Starts itAn outside serviceEvery pathResultPayoff
Build size
Advanced

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

Business functions
AI Agents & Autonomous SystemsKnowledge Base & RAGMessaging & NotificationsSpreadsheet & Database OpsReporting & AnalyticsAPI & Webhook IntegrationSurvey & Feedback
Connects
YouTubeOpenAIPineconeGoogle SheetsSlack

The problem it solves

Popular videos can rack up hundreds of comments, and most of them go unread because nobody has time to scroll through all of them. You miss real feedback, recurring questions, and warning signs about how your audience actually feels.

Who it fits

Content creators, brand teams, and community managers who post videos regularly and want to understand audience reaction without reading every comment.

How it works

  1. A batch of comments comes in from a video
  2. AI reads through them and groups them by topic
  3. Themes, sentiment, and frequently asked questions are pulled out
  4. A summary is logged to a spreadsheet
  5. A Slack message alerts the team when it's ready
What you get

Comment themes and sentiment surfaced instantly

You get a clear picture of what viewers are saying and feeling across every video without reading through comment sections.

What you get

A written summary of audience sentiment, common themes, and frequently asked questions for each video, saved to a spreadsheet.

What you need

An OpenAI API key, a Pinecone account, a Google account, and optionally a Slack workspace.

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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