Plexus Classifier Guidelines Management

What problem does it solve?

Manually creating and validating guidelines for AI classifiers is often inconsistent, error-prone, and time-consuming. This Skill automates the process, ensuring your classifier guidelines are always standardized, complete, and aligned across human experts and AI systems.

Core Features & Use Cases

• Standardized Guidelines: Automatically generates and updates classifier guidelines in a consistent Markdown format, ensuring clarity and reducing ambiguity.
• Automated Validation: Utilizes a built-in tool to instantly check guidelines for compliance with required sections and correct formatting, preventing errors before deployment.
• Collaborative Workflow: Guides you through an iterative process to gather information from subject matter experts and integrate it into the guidelines, ensuring accuracy and completeness.
• Use Case: A product manager needs to define clear rules for a new content moderation AI. This Skill helps them systematically define "Yes," "No," and "NA" conditions, then validates the entire document to ensure it meets all operational standards.

Quick Start

Help me create new guidelines for a binary classifier that detects customer sentiment as 'Positive' or 'Negative'. The objective is to identify positive customer feedback.