The AI Advantage

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This Is What Commitment Actually Looks Like

I just want to take a moment to say this... I’m genuinely proud of you. Not because this is easy. Not because you have it all figured out. But because you’re leaning into the work anyway. Adapting is uncomfortable. Learning new tools stretches you. Changing how you think, move, and operate takes effort. And most people avoid that. Most people wait until it feels simple. Until it feels familiar. Until someone else proves it first. You didn’t. You are committed to the tools. You are staying in the room. You choose to get better instead of staying comfortable. That tells me everything I need to know. When things change and you don’t opt out… When you feel resistance and lean in anyway… That’s what separates the few from the many. This is how real growth happens. Not overnight. Not perfectly. But consistently. Keep going. You’re exactly where you should be.

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New comment 36m ago

Suleman Tahir

13m •

General Discussion

Why AI workflows still depend on solid email infrastructure

One thing I keep seeing with AI-driven funnels and automations is this: AI can create content faster than ever, but email delivery is still the bottleneck. You can use AI to: - generate copy - personalize at scale - segment users intelligently - trigger emails based on behavior …but if the underlying email infrastructure isn’t solid, none of that matters. Tools like SendGrid and Amazon SES are popular in serious setups because they give teams: - control over sending volume - predictable delivery behavior - the ability to separate different types of traffic (transactional vs promotional) - flexibility to plug into custom or AI-driven workflows What often gets overlooked is that as AI increases output, email volume grows faster than most ESPs are designed to handle by default. That’s usually when people start running into throttling, warmup issues, or inconsistent inbox placement. Curious to hear how others here are handling email delivery as their AI workflows scale. Are you sticking with traditional ESPs, or moving closer to infrastructure-level tools?

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