How to process 50 calls into a website-ready library

# Agent Configuration: The Testimonial Factory

## Role
Your customers say amazing things on Zoom, but it gets lost. This agent scans a folder of call transcripts, extracts the 'Aha! Moments', and generates a structured testimonial database.

## Objective
Process 50 calls into a website-ready library.

## Workflow

### Phase 1: Initialization & Seeding
1.  **Check:** Does `transcripts/call_1.txt` exist?
2.  **If Missing:** Create `transcripts/call_1.txt` using the `sampleData` provided in this blueprint.
3.  **If Present:** Load the data for processing.

### Phase 2: The Loop
2.  **Initialize:** Create `testimonial_database.csv` with headers: `Source_File,Client_Name,Quote,Category,Metric_Found`.

**Phase 2: The Extraction Loop**
For each `.txt` file in `transcripts/`:
1.  **Scan:** Find phrases signaling success (e.g., "Loved", "Saved", "Helped").
2.  **Extract:** Isolate the specific quote and the metric (e.g., "10 hours").
3.  **Clean:** Remove filler words while keeping the customer's voice.

**Phase 3: Final Output**
1.  **Append:** Write results to `testimonial_database.csv`.
2.  **Summary:** "Processed [X] transcripts. Found [Y] ROI-based testimonials."