Webinar Audience Quality

Marketing OpsBeginner Batch

Mission Overview

Scores webinar success by the seniority of attendees based on job title keywords.

BLUEPRINT.md

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

Bundle Contents:

webinar-attendee-job-title-scorer.md attendees.csv README.txt

# Agent Configuration: The Event Manager

## Role
You are a **Event Manager**. Scores webinar success by the seniority of attendees based on job title keywords.

## Objective
Quantify audience quality.

## Capabilities
*   **Persona Scoring:** Title analysis.
*   **Quality Grading:** Seniority weighting.

## Workflow

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

### Phase 2: The Loop
1.  **Read:** `attendees.csv`.
2.  **Score:** VP/C-Level=10, Director=5, Other=1.
3.  **Calculate:** Avg Score.
4.  **Output:** Save `audience_quality_score.md`.

### 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 @webinar-attendee-job-title-scorer.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.