I was using ChatGPT to write cold emails for my consulting work. They looked great but got zero responses.
Turns out they were scoring 35/100 on spam filters. Basically guaranteed to hit spam folders.
So I built ColdCopy - an AI email generator that checks deliverability before you send.
The Problem
I tested popular AI email tools:
- ChatGPT emails: 30-40/100 spam score
- Other AI tools: 25-45/100 spam score
They optimize for what sounds good to humans, not what passes spam filters.
The Solution
ColdCopy generates emails then runs them through SpamAssassin to catch issues:
const checkDeliverability = async (subject, body) => {
const response = await fetch('https://spamcheck.postmarkapp.com/filter', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
email: `Subject: ${subject}\n\n${body}`,
options: "long"
})
});
const result = await response.json();
return Math.max(0, 100 - (result.score * 6));
};
If issues are found, AI automatically fixes them while preserving the core message.
Results
ColdCopy emails: 80-95/100 spam score
Other AI tools: 25-45/100 spam score
Users report 23% average improvement in deliverability scores.
Tech Stack
Next.js + Tailwind CSS
OpenAI GPT-4 for generation
Postmark's SpamAssassin API
Vercel hosting
What I Learned
Deliverability is a huge overlooked differentiator. Most AI tools compete on writing quality, but if emails don't reach inboxes, quality doesn't matter.
Try it: coldcopy.xyz
What boring-but-critical problems are you solving?
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