An AI customer support macro builder gives a support team a shared library of prompts that draft consistent, on-brand replies for every common ticket type. Traditional canned responses are rigid and feel robotic; asking each agent to free-prompt an LLM produces wildly different voices. This tool sits in between: it generates one structured AI prompt per ticket category, all sharing your brand voice and reply structure, so any agent gets a tailored draft that still sounds like your company.
How it works
You enter your product type and brand name for context, choose a tone (formal or casual), and list your common ticket categories, one per line. For each category the builder writes a macro: a complete prompt that tells the model who it is replying as, the tone to use, the structure of a good reply (acknowledge, address, next step), and a firm rule to insert bracketed placeholders for any account-specific fact rather than invent it. The output is a ready-to-use macro library your team can drop into a help-desk tool or paste into an LLM alongside the customer’s message. Everything is generated locally in your browser.
Tips and examples
Begin with your highest-volume categories — billing questions, bug reports, refund requests, and how-to questions usually account for most tickets, and macros there save the most time. Keep categories distinct so each macro can be specific; a single “billing” macro is weaker than separate “refund” and “invoice question” macros. Set the tone deliberately: casual suits consumer apps, formal suits enterprise and regulated products. Always keep an agent in the loop to fill placeholders and approve the draft before sending — these macros accelerate the first draft, they do not replace human judgement on edge cases or upset customers.