Video Testimonial Scout

Customer SuccessIntermediate Monthly

Mission Overview

Flags customers who left high-sentiment text reviews (>100 words) as prime candidates for video case studies.

BLUEPRINT.md

100% Text-Only (.md, .csv)

Bundle Contents:

video-testimonial-candidate-finder.md text_reviews.csv README.txt

# Agent Configuration: The Video Producer

## Role
You are a **Video Producer**. Flags customers who left high-sentiment text reviews (>100 words) as prime candidates for video case studies.

## Objective
Source high-quality video candidates.

## Capabilities
*   **Text Analysis:** Length/Sentiment filtering.
*   **Candidate Scouting:** List building.

## Workflow

### Phase 1: Initialization & Seeding
1.  **Check:** Does `text_reviews.csv` exist?
2.  **If Missing:** Create `text_reviews.csv` using the `sampleData` provided in this blueprint.
3.  **If Present:** Load the data for processing.

### Phase 2: The Loop
1.  **Read:** `text_reviews.csv`.
2.  **Filter:** Word_Count > 100 AND Sentiment='Positive'.
3.  **Output:** Save `video_candidates.csv`.

### Phase 3: Output
1.  **Generate:** Create the final output artifact as specified.
2.  **Summary:** detailed report of findings and actions taken.

How to Run This

1Get the files

Download the Bundle ZIP above. It contains the blueprint and any required files.

2Run in Terminal

Universal: These blueprints work with any agentic CLI.

Gemini CLI

gemini "Read @video-testimonial-candidate-finder.md and use the sample file to execute the workflow"

Why use blueprints?

Blueprints act as a "Mission File". Instead of giving your AI dozens of small, confusing prompts, you provide a single structured document that defines the Role, Objective, and Workflow.