"You should be layering AI on top of what you're already doing to make you more efficient. It should not be doing the bulk of the work. It should just be making you faster." — Megan
Email development has long been the graveyard of good design intentions where beautiful mockups meet the harsh reality of Outlook's rendering engine, dark mode disasters, and code that would make any web developer weep. But while most of the industry gets swept up in AI hype promising magical solutions, actual email developers are quietly discovering what works, what doesn't, and what's dangerously oversold.
Megan Boshuyzen, development lead at Inbox Army, brings a rare combination of technical depth and real-world perspective to the AI conversation. A graphic designer turned email developer, she's witnessed the evolution from Vertical Response in 2010 to today's complex email design systems. Her journey through MailGun, Email on Acid, and now agency-side development gives her insights few possess about where AI genuinely helps and where it spectacularly fails.
This is not a hype episode. It's a field report from someone doing the work and telling the truth about it.
Timestamps
04:35 — AI Saved a Complex Liquid Build: When a client prohibited storing product data in a CRM, Megan used AI to work through intensive if-else Liquid logic, dynamically matching product data loaded into the email with conditional display in the ESP.
06:10 — ESPs Must Own Accessibility: Email service providers and drag-and-drop editors bear the primary responsibility for making their code accessible, not individual marketers who can't edit it — and many of the required fixes are not significant engineering lifts.
13:45 — The Photographer Analogy for Email Developers: AI democratizes email creation the way smartphones democratized photography, but just as professionals still get hired for what matters, skilled email developers will remain essential at the enterprise level.
19:07 — Building an Email Design System at an Agency: Megan breaks down the real complexity of building a multi-client email design system at Inbox Army, why e-com layouts demand more than she anticipated, and how Claude Code is helping her manage the JavaScript as it scales.
26:21 — From "AI Is Useless" to Cautiously Bought In: Megan traces her own two-year shift from dismissing AI entirely to finding genuine, specific use cases and explains why she still refuses to call it a magic bullet.
36:25 — AI Creates Mediocre Code: AI accelerates the creation of mediocre email code through a lowest-common-denominator approach, similar to how engineers encounter inefficient AI-generated code solutions.
44:35 — Build the Foundation Before AI: Developers who master coding fundamentals first and then layer AI on top will outlast those who build AI-dependent workflows because when something breaks, you need a foundation you actually understand.
46:55 — Quietly Terrified of Code: A large, silent portion of the email and martech industry is anxious about AI and code. This episode is designed to help them feel grounded and less alone, not more panicked.
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