The best way to approach AI is to start by scratching your own itch.
The best way to approach AI is to start by scratching your own itch. When I joined Sequel.io , we had a product marketing gap and no immediate plan to fill it. I was hired to lead marketing with a lean team, so I was effectively our new head of product marketing in addition to our new VP of Marketing. Rather than hire right away, I decided to see how far I could push AI before I hit a wall that required a human. Six weeks in to my tenure, we launched 12 products in 12 days. Every launch had a full suite of assets including a blog, video script, web copy, emails, battle cards, sales enablement, CS messaging, FAQs, the works - all created using the AI process I built to solve for my own workflow needs. It was an intense pace of launches and over those 12 days, I learned a lot about what AI could - and could not - do well, and how I needed to iterate on my process to produce results that felt useful. Today, I have reduced what used to be a week's worth of work to about 10 minutes - a huge win that has allowed me to keep pace with our product team's ambitious launch schedule. I shared this story a few weeks back on Lisa Sharapata 's AI Exchange thinking that it was basic, at best, and was surprised when many of the marketers in attendance reached out after to thank me and say they learned from my process. So, I thought I would break it down in more detail in this week's Code Meets Creed. And bonus - the process has evolved and gotten better since I first shared it, so what you'll see in this week's newsletter is the latest iteration. I'm still iterating and know there are a number of ways I can make this process even more efficient, but for now, if you want to replicate my process, check out the newsletter to get the full breakdown along with prompt templates and instructions for building your own product launch skill in Claude. DISCLAIMER: This is not about using AI as a replacement for product marketing. What great product marketers do - the positioning judgment, the customer empathy, the narrative instinct - is genuinely hard and genuinely irreplaceable. This is about automating the execution layer so that human judgment can be spent on the work that actually requires it. ALSO DISCLAIMER: I don't pretend to be a leading expert in AI or in product marketing. This is a story about how I'm solving a problem I'm facing weekly on the job. I'm sure there are marketers who've built more sophisticated systems using AI, and product marketers who are better at the job than I am. Please read the newsletter with this caveat in mind. Read this week's issue here: https://lnkd.in/ewKi-38m #codemeetscreed #AI #productmarketing #kathleenhq