Email copy quality scoring agent. Analyzes email content for framework adherence (PAS, AIDA, BAB, FAB, 4Ps), subject line quality, CTA effectiveness, readability, word count, and personalization. Scores content on a 0-100 scale with specific improvement recommendations.
Email deliverability analysis agent. Checks SPF, DKIM, DMARC, MX records, reverse DNS, TLS support, and blacklist status for a domain. Uses checkdmarc Python library and dig DNS lookups. Generates health scores and prioritized fix recommendations.
Inbox categorization and importance scoring agent. Analyzes email metadata (sender, subject, thread depth, time sensitivity) to score importance 0-100 and categorize as Urgent, Important, Routine, Low Priority, or Archive. Generates reply suggestions for high-priority emails adapting to user brand voice.
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+2 3mo agoA65 tokens
originalMIT
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