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Write follow-up emails that re-engage without being annoying. Uses proven psychology for follow-up sequences. 42% of replies come from follow-ups.
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Based on SOC occupation classification
Write cold emails that get replies using proven frameworks (AIDA, PAS, BAB). Enforces best practices like 50-125 word limit and personalized openers.
Analyze text readability with Flesch-Kincaid, Gunning Fog, SMOG, and other metrics. Returns objective scores with interpretation and recommendations.
Get word count, character count, reading time, and text statistics. Quick analysis without questions.
Analyze text to detect if it was written by AI. Returns a score from 0-100 with detailed metrics. Use when checking content before publishing or submitting.
Transform AI-generated text into natural, human-like content that bypasses AI detectors like GPTZero, Turnitin, and Originality.ai. Uses credits based on word count.
| name | follow-up |
| description | Write follow-up emails that re-engage without being annoying. Uses proven psychology for follow-up sequences. 42% of replies come from follow-ups. |
| user-invocable | true |
| argument-hint | [original email context] [days since sent] [follow-up number 1-3] |
Generate a follow-up email that re-engages prospects who didn't respond.
Parse $ARGUMENTS for:
If original context is missing, ask for the key points from the first email.
Subject: Re: [original subject] or [new short subject]
[Email body]
[First name]
Framework used: [which one] What's different: [how this differs from original] Word count: [number]