Generic sequences are filtered by both humans and spam models. Relevant, specific openers earn replies, and reply rate is the engagement signal providers reward most.
Mistake 1: Hallucinated details about the recipient, which destroy trust instantly#
Why it hurts: this undermines AI email personalization at the point where mailbox providers make their decision, and it is rarely surfaced by your own tooling until placement drops.
Fix: Enrich contacts with 3 to 5 verifiable data points: role, company, tech stack, recent news, mutual context.
Mistake 2: Over-personalization that reads as surveillance#
Why it hurts: this undermines AI email personalization at the point where mailbox providers make their decision, and it is rarely surfaced by your own tooling until placement drops.
Fix: Write a prompt template that constrains tone, length, and forbidden claims.
Mistake 3: Varying so much per message that you cannot learn what works#
Why it hurts: this undermines AI email personalization at the point where mailbox providers make their decision, and it is rarely surfaced by your own tooling until placement drops.
Fix: Generate a first line and a value proposition per contact; keep the rest of the message stable.
Frequently asked questions#
Does AI-generated email get flagged as spam?
Filters judge sender behavior and recipient reaction, not authorship. Poorly targeted AI mail gets flagged because it is poorly targeted.
How do I keep AI drafts in my voice?
Provide examples of your real sent mail and constrain style in the system prompt. MailMaid's Draft with AI learns from thread context for exactly this reason.