2 posts tagged with "Technical"

Your agent can send beautiful emails. But the moment someone replies, you're dealing with MIME parsing, header extraction, bounce detection, and content types you didn't know existed. Here's what happens between the SMTP handshake and your application code.

Most tutorials about email for AI agents focus on sending. Compose a message, call an API, done. The outbound path is well understood. Inbound is where things get interesting. And by interesting, I mean painful.

Receiving email programmatically means your system becomes a mail server. Even if you're using an abstraction layer, understanding what happens underneath will save you from bugs that only show up in production.

Your agent wrote a strong reply. The customer never saw it. It's sitting in a spam folder because nobody configured the DNS records.

Most developers building AI agents that send email focus on the hard part first: the LLM, the prompt engineering, the tool integration, the workflow orchestration. All the interesting work. Then, right before launch, someone asks: "Wait, will these emails actually get delivered?"

That's when things get uncomfortable.