For Pressner Kreuser, that means creating custom ChatGPTs for prospecting, outreach, and follow-up cadences. Creating custom GPTs for marketing Process simplification starts with creating the process itself. She doesn't stress over perfecting the prompts that create the custom GPT. Then she used those prompts to create custom GPTs - specialized versions of ChatGPT that she trained for specific tasks, which she can return to again and again to complete those tasks. She can select her custom GPTs from a point-and-click menu. The key to a good custom GPT prompt is being specific about necessary outcomes and workflows. She demonstrated the basic process she uses to create all of her custom GPTs, before getting into the details of each specific type she uses. Step one: Prompt for your prompt (yes, really) Create a typical prompt: "I want to set up a custom GPT to do email follow-up, and I want you to help me create a prompt for this custom GPT so I never have to write these same instructions again." Step two: Clarify your ask ChatGPT then asks clarifying questions about her process, perhaps templates, tone, and requirements, then generates a custom GPT prompt. Step three: Add the prompt to the Custom GPT Pressner Kreuser copies that prompt into the "Create" section of the custom GPT interface. Screenshot of Pressner Kreuser's custom GPT prompt creation. If there's anyone you see that you want me to introduce you to, I'm happy to make an introduction.' I would say thank you, but I would be cringing, because who has the time to go through somebody's LinkedIn?" Agent #1: Referral Scout: Extract target prospects systematically How Amanda built a Referral Scout custom GPT When a contact offers to make introductions, Pressner Kreuser can pull up profiles via LinkedIn Sales Navigator. She created a custom GPT she named "Referral Scout," which she built based on her ICP. Agent #2: Email and follow-up library assistant How Amanda built an Email & Follow-Up custom GPT She also sends her own outreach sometimes – and of course, needs to draft those messages and follow-ups, on top of other email tasks like booking discovery calls. She uploads this template library into a custom GPT, creating a foundation that maintains her brand voice and communication style across all follow-up interactions. The ChatGPT then generates the first draft of the email sequence, based on her input and on the email templates she used to program the prompt, which Pressner Kreuser edits and refines. [Signature] Agent #3: Custom Scheduling Assistant How Amanda built a Scheduling Assistant custom GPT Pressner Kreuser has found that calendar booking apps don't serve her needs as much as she'd like - so she created a custom GPT to address that need, too. So she created a custom GPT that creates a list of a few windows of time for a meeting that she can send to her prospect, reducing a few steps in the scheduling process. She uploads that JSON file into the Custom GPT, which uses the prompt below to suggest 30–60 minute availability windows based on working hours, breaks between meetings, and custom rules, like avoiding school drop-off or travel blocks. Your job is to identify 3–5 open time slots that are: 30 or 60 minutes long Between 9:00 AM and 6:00 PM ET, Monday to Friday Not adjacent to another meeting unless there's at least a 15-minute buffer Excluding events labeled as 'free', 'travel', or 'school drop-off' Present the results in a clear table with: Date Time Range Duration Why it's a good time (e.g., long break, start of day, etc.) Be smart about breaks - ideally don't schedule meetings right after long sessions or back-to-back blocks unless there's recovery time." Agent #4: Generate personalized follow-ups from call recordings How Amanda built a Follow-Up custom GPT After she's booked and completed a prospect call, she feeds the call recording directly into her custom GPT, along with her template library. The GPT then customizes that template, creating a personalized follow-up email that references key points in this call. Screenshots of Pressner Kreuser's p