Hey, Happy Friday.
Last week, I was rewatching Good Will Hunting while my daughter practiced her 3am wake-up call. There's this scene where Matt Damon points to Robin Williams' bookshelf: "You surround yourself with the wrong f'ing books." or something like that.
The line hits me every time I scroll LinkedIn or X - "wisdom" from people who've never shipped anything that actually grew a business. No supporting data, context, or lived experience to back up their claims. Sometimes I worry my team may take these "insights" as fact.
So we're building something to fix it: custom GPTs trained on the right sources. The timeless stuff. The principles that actually work.
And today, I figured I'd share how we're building them.
A writer asked me last week: "what skills should marketers focus on?" Made me think - we've spent a decade training specialists. SEO experts. Media buyers. Social managers. CRO specialists.
But things are changing. The winners over the next 5 years will be generalists. Marketers who understand strategic planning AND brand AND copywriting AND media AND acquisition.
The problem? How do you upskill an entire team without overwhelming them?
I think custom GPTs are a great start.
But not the kind that just do the work. The kind that teach your team how to think about the work.
So far, we've created 4 GPTs:
Each one acts like having a senior marketer next to you - asking the right questions, pushing your thinking, then helping you create something that meets our expectations.
Here's how we pull them together.
Step 1: Map Jobs to be Done - Work with your managers. Ask "What tasks do our marketers do weekly? Which ones could a GPT enhance and standardize?"
We want GPTs that make people better, by upleveling their thinking and deliverables.
Step 2: Build Your Knowledge-base - For each GPT, collect:
Find sources that your best people reference constantly. Data backed. Trusted. Your flavor.
Step 3: GPT Instructions - Write instructions that coach. This is critical. Your GPT instructions should force collaboration with the user.
For example, our Brief Builder works with the user in a Q&A format and asks follow-up questions:
It challenges weak inputs. Ask "why" and "tell me more."
Only after the discussion does it draft the brief.
Step 4: Test with Your Best - Send the GPTs to 1-2 strong team members. Have them use it for a week on real projects. Ask for feedback.
Iterate based on feedback. Keep improving the instructions.
Step 5: Launch as a Toolkit - Don't drip out GPTs one by one. Package them as a complete toolkit for the team.
What happens next is pretty cool. Your paid media person starts using Copy Chief to write better ads. Your brand marketer uses Performance Pilot to understand spend and performance metrics. Everyone levels up.
We're creating versatile marketers who use AI to improve across the board. They build range. They become 0 to 1 capable across all channels, while staying advanced in their specialty.
The goal isn't to have the most GPTs. It's to give our team the right foundation to think from - no matter what program or channel they're working on.
Are you using custom GPTs with your team? What's working? What's not?
Hit me up. Would love to compare notes.
Until next time ✌️
Kyle