Classify Support Tickets with AI
Billing, Technical, Account, How-To, Feature Request — ticket triage with definitions that decide the borderline cases for the model.
View Resource →Data Classification Prompt resources
Build classification prompts that assign labels from a closed set — with label definitions and edge-case rules.
Text Classification Prompt — the Anatomy
The blocks a reliable classification prompt needs: defined labels, classification rules, edge-case rules, an ambiguity policy, and a confidence contract.
View Resource →Categorize Customer Feedback with AI
Praise, Complaint, Feature Request, Bug Report, Question — multi-label feedback categorization where one message can carry three signals.
View Resource →CRM Activity Classification with AI
Discovery, Demo, Negotiation, Follow-Up, Closed Won, Closed Lost — classify activity notes by sales stage so pipeline reports stop lying.
View Resource →Intent Classification Prompt for Inbound Email
Sales, Support, Partnership, Press, Spam — route inbound email by intent, with a Strict "Other" so the weird ones reach a human.
View Resource →Lead Qualification Categories for AI Scoring
Qualified, Nurture, Unqualified — a three-label pipeline gate with numeric confidence and a Strict Other for the leads that fit nothing.
View Resource →Moderation Labeling Prompt for User Content
Safe, Spam, Harassment, Hate, Adult — multi-label policy classification with Strict Other and numeric confidence, built for review queues.
View Resource →Route Sales Inquiries with AI Classification
Enterprise, SMB, Self-Serve, Partner — route inbound interest to the right sales motion, with Best Match because every inquiry needs a lane.
View Resource →Sentiment Classification Prompt for Reviews
Positive, Negative, Neutral, Mixed — overall-sentiment classification where the definitions resolve the "loved it BUT" reviews.
View Resource →Classify Survey Responses with AI
Product, Pricing, Support Experience, Onboarding, Documentation — multi-label topic classification for open-ended survey answers.
View Resource →