31:16Austin 2026
San Diego 2025
Creating AI Email Content with Nathan Snell
Nathan Snell shares a six-part approach to producing on-brand AI content. The session connects context, performance data, specialized tools, and iteration to a practical email production process.
Watch it. Put it to work.
ABOUT THIS SESSION
Give the model usable brand context.
Nathan Snell shares a six-part approach to producing on-brand AI content. The session connects context, performance data, specialized tools, and iteration to a practical email production process.
For ecommerce founders, marketers, and operators working on ai & automation.
- Speaker
- Nathan Snell
CEO and Co-Founder, Raleon - Recorded at
- San Diego 2025 ↗
September 2025
Speaker roles and platform examples reflect the session’s original context. This is an archived conversation.
TAKE IT BACK TO YOUR DESK
Ideas to put to work.
- 01
Give the model usable brand context
Document the essentials of voice, audience, product, and creative direction.
Read this part · 08:41 ↓ - 02
Use performance to improve the brief
Feed learning from previous creative into the next round of production.
Read this part · 14:45 ↓ - 03
Build a repeatable production workflow
Choose tools for specific tasks and connect them with a clear review process.
Read this part · 24:07 ↓
READ THE SESSION
The edited transcript.
A condensed, edited reading version based on the YouTube captions and session chapters. Repetition and unclear audience audio have been removed; the discussion is paraphrased for clarity, rather than presented as a verbatim transcript. Timestamps refer to the original video.
Original recording on YouTube ↗Give the model usable brand context
Nathan’s framework starts with the information a model needs to create work that fits the brand. Context helps narrow the output toward a useful result. He also warns against overwhelming the prompt with long lists of prohibitions, recommending that teams emphasize the most important requirements and constraints.
Use performance to improve the brief
Performance data gives the process a feedback mechanism. Rather than treating each prompt as an isolated request, marketers can use what they learn from previous work to guide the next iteration. The session frames AI as part of a creative system that combines direction, output, evaluation, and refinement.
Build a repeatable production workflow
Nathan separates the choice of model from the process around it. Different tasks can benefit from different tools, but tools alone do not create a reliable operation. The accelerated workflow still needs a brief, appropriate context, creative judgment, and iteration before material is ready for customers.
KEEP THE IDEAS COMING
Stay in the conversation.
3 SESSIONSPLAY IT BACK. PUT IT TO WORK.
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