Build campaign emails from a conversation, not a code editor

When I ask lifecycle marketers what slows them down, it's rarely the idea. It's the build.

Your merchandising team finalizes a new collection on Monday. The brief hits your inbox on Tuesday morning. By Wednesday, you're still waiting on engineering to QA Jinja logic you copied from last quarter and rewired by hand. Thursday arrives, and the email isn’t ready.

That's the workflow most teams still use. New-collection launches, winbacks for lapsed buyers, loyalty-exclusive early access, seasonal pushes. You copy an old template and start editing HTML. Then wait for another team to make sure nothing breaks. A five-minute copy change takes three days to ship. The build process is too brittle for routine changes.

On top of this, your customers expect more personalization than your build process can deliver. You need to incorporate loyalty tiers and regional variants in the same send, with behavioral triggers on every message. Your data grows every quarter and can support that complexity, but your template build cycle hasn't changed in years.

Code sits between you and the finished email

Every personalization condition adds code. And every line of code adds risk, more people touching the file, more chances for something to break before anything ships.

So teams play it safe and ship "good enough" to avoid another round of QA and a missed window.

Plenty of AI tools generate email copy, but that's not the bottleneck. Structure and logic are. For example, ChatGPT generates copy you paste into a template and hand-format. Drag-and-drop editors build layouts, but can't write conditional logic. And Copilot autocompletes Jinja, but doesn't know your content library or brand standards. 

Each solves a part, but none of them produces a finished, deployable email. AI can help you write. It hasn't helped you build new email templates.

Until now.

Simon AI acts as a marketer's data and execution team, helping you understand your customers, decide who to reach, and execute personalized campaigns more effectively. 

You start with an idea or a goal in a chat, and AI agents handle the complex work, so you can act without waiting on technical resources. Now, Simon AI Agents include content skills that focus on building and refining deployable email templates across Simon Mail, SendGrid, Braze, Iterable, and other engagement platforms. 

Describe what you want. Get a deployable email back.

To use Simon AI’s content skills, work inside the content editor with the same templates and blocks your team already relies on. Describe the email you need in plain language, and you get back a complete HTML/Jinja email with structure, logic, and personalization intact. Ready for production, built on your brand's existing content system.

Need to edit something that's been live for months? Just open it and describe the change in the chat. 

Simon AI Content Agent rewrites the relevant sections without losing everything else. Simon AI works from your library of branded content templates, the headers, footers, and design elements your team has already built and validated. 

Every new email inherits the brand standards and responsive behavior already baked into those components. The output is on-brand and production-ready because it's built from assets that are already in the system. No HTML generated from scratch that breaks in Outlook.

If the output needs adjustment, you keep prompting or edit the generated code directly. You and your teammates can inspect every line to ensure everything is in order.

A promotional email, built in one conversation

Back to Monday. Your team just finalized a collection launch. Think linen sets for the coastal grandmother crowd, or a collab with a creator whose following tripled last month. You need the email fast.

Start by describing what you need to do in the chat:

"Create a promotional email announcing our new collection. Clean and editorial. Reuse our standard header and footer. Include a product grid and a primary CTA."

It comes back complete with the brand header from your content library, the editorial layout, the product grid placeholder, the CTA button, and the standard footer. No code touched.

"Make it feel more premium. Emphasize versatility."

Simon AI Content Agent then adjusts the messaging, while the structure stays intact.

"For loyalty members, add a short early-access callout above the fold. Everyone else sees the standard version."

Conditional Jinja, written and inserted.

Now layer it....

"For customers in cold-weather regions, lead with transitional layering pieces. For warm-weather regions, feature the warm-weather lineup. Keep the loyalty callout for both."

Geographic targeting and loyalty status, combined in one email. Two regional variants, each with a loyalty condition. Zero Jinja written by hand.

Dynamic personalization that used to require a technical review now happens in the chat with Simon AI. And what used to take three to five days with engineering QA becomes a deployable email in under 30 minutes.

Your new email build workflow

Before: Concept Monday. Brief Tuesday. Engineering ticket Wednesday. QA Thursday. Ship Friday, maybe.

After: Concept Monday. Template built Monday. Personalized Monday. Shipped on Monday.

The bottleneck used to be the build. Now you can focus on what to say and getting your message out when the moment is right.

The hours you used to spend on builds go to testing, learning what resonates with your customers, and delivering results. The campaigns that used to ship "good enough" now ship with the personalization they were designed for. You depend less on technical teams for everyday changes and ship with more confidence. That's what your customers see.

Already on Simon AI?

You have access to the new content skills now. Open the content editor and try it on the campaign you're building this week.

Not on Simon AI yet?

We'd love to walk through your use cases and show you how Simon AI helps you unlock personalization at scale and launch faster. Set up a use case workshop with our team here. 

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