AI Prompts for Customer Support
The most useful support prompts on the internet, tested across major models and organized by job-to-be-done.
Every support prompt here is reviewed by domain practitioners and tagged with the model it was tested on. No fluff, no recycled GitHub READMEs.
Pair these prompts with our Loop Library to build a personal support workflow that runs in a single line.
Featured loops
The Data-Backed Credibility Builder
Turns anecdotal claims into authoritative, data-supported arguments.
The Parent-Translator Loop
Converts 'Edu-speak' into supportive, jargon-free emails for parents.
The Apology Authenticator
Scrubs 'I'm sorry if you feel' non-apologies and replaces them with ownership.
The Tone-Shift Detector
Detects subtle shifts in customer language that signal they are about to churn.
The Triage Automator
Creates complex routing logic based on the intent and urgency of incoming messages.
The Macro-De-Greaser
Scans support macros to strip corporate jargon and redundant polite filler for maximum clarity.
The Value-Based Pivot
Converts hourly-based service descriptions into high-ticket, outcome-focused value propositions.
The Feature-Interest Logger
Translates customer complaints into quantified feature requests with impact scores.
The Paradox Resolver
Finds solutions when a customer's request directly conflicts with a technical limitation.
The Knowledge Base Scraper
Turns a successful custom ticket resolution into a structured KB article draft.
The Policy Breathalyzer
Rewrites 'No' responses to sound helpful and solution-oriented without breaking company rules.
The Exit-Ticket Refiner
Crafts a single question that proves beyond doubt whether a student 'got it.'
Frequently asked
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Each prompt lists the model it was tuned on - typically GPT-5, Claude Sonnet, and Gemini Pro.