#87: My Custom GPT Playbook for Doubling Team Output Without Burnout
Most agency owners say they want to scale.
But when it comes time to delegate, they freeze.
“I can’t hand that off, they’re not there yet.”
I’ve heard that sentence from hundreds of digital agency owners. And if I’m honest, I’ve said it myself.
The result? You stay stuck in delivery. Your senior team stays over-leveraged. Your junior team stays underutilized. And your agency scaling efforts stall because everything still runs through you.
In this solo episode, I broke down a simple shift that has dramatically increased our team output, operational efficiency, and profitability without hiring more people.
It’s not another over engineered automation stack.
It’s custom GPTs embedded directly into your workflows.
Let me show you exactly how this works and how you can implement it inside your agency.
The Real Bottleneck in Agency Scaling: “They’re Not There Yet”
When I talk to agency owners doing anywhere from $0 to $3M ARR, I see the same pattern:
You have a defined process.
You even have SOPs.
But you hesitate to delegate because the task requires “expertise.”
So instead of building systems, you hoard responsibility.
You convince yourself:
“I’ll just do this part.”
“They don’t write like I do.”
“They don’t think like I do.”
“They’ll miss something.”
And you’re not wrong.
But here’s the counterintuitive truth:
The problem isn’t their capability.
The problem is you haven’t externalized your thinking.
This is where most conversations about operations fall short.
Everyone talks about:
SOPs
Org charts
Project management tools
But no one addresses the hardest step:
The expertise injection point.
The 6-Step Process Rule (And Why Only 1–2 Steps Actually Matter)
Let’s simplify this.
Most agency workflows look like this:
Intake
Research
Strategy
Execution
QA
Delivery
If we’re being honest?
Only one or two of those steps require true expertise.
The rest is execution:
Copy here.
Paste there.
Clean this.
Upload that.
Press publish.
Yet we block delegation because of those one or two “high expertise” steps.
That’s the choke point.
And instead of solving that choke point, most agency owners either:
Do it themselves
Hire another senior person
Or avoid scaling entirely
There’s a better way.
The 80% Rule: Build a Tool for the Expertise Step
Here’s the shift:
Instead of trying to instantly elevate a team member to your level
Build a tool that gets them 80% of the way there.
That tool? A custom GPT trained on how you think.
This is not about replacing people.
It’s about:
Increasing leverage
Improving operations
Expanding capacity without expanding headcount
Let me show you how I use this inside my own workflow.
How I Use Custom GPTs to Multiply Output
When I record a podcast episode, I don’t want to:
Write the email
Draft the show notes
Create the social posts
Identify authority clips
Evaluate guest fit
But I also don’t want mediocre execution.
So here’s what I did.
Step 1: Define the Process
Before anything else, I documented:
What the final output should look like
What “good” means
The tone, structure, and objective
The decision making criteria
Without this, AI is useless.
You need clear foundations before you scale.
Custom GPT #1: Email Drafting Assistant
I trained a custom GPT on:
My writing style
My email structure
My tone
My positioning
The goals of each episode
Now my podcast manager:
Drops the transcript into the GPT
Receives three email variants
Chooses the strongest
Polishes it
Sends it to me for final approval
The AI does 80%.
He does 10%.
I do 10%.
Result?
I didn't write the email.
Quality stays high.
Speed increases dramatically.
That’s operational leverage.
Custom GPT #2: Show Notes Generator
Same process.
Transcript in.
Multiple variants out.
We tweak.
We approve.
Instead of starting from zero, we start from 80%.
That’s the difference between:
“This takes an hour.”
And “This takes 12 minutes.”
Multiply that across your agency.
Custom GPT #3: Authority Clip Identifier
One of my non-negotiables:
Guests must sound brilliant.
But manually scrubbing episodes for high-authority moments is time consuming.
So we built a GPT trained on:
Our audience (agency owners)
Our positioning
What qualifies as “authority”
What stories convert
Now we:
Paste the transcript.
Get recommended clips.
Approve and deploy.
This single tool saves hours per episode.
Custom GPT #4: Guest Fit Scorer
We get constant applications from potential guests.
Reviewing them used to be manual.
Now:
Application goes into GPT.
It outputs a score.
Below threshold? Auto-reject.
Above threshold? Quick review by me.
What used to take hours now takes minutes.
That’s what real agency operations optimization looks like.
Why This Works (And Why Most Agencies Miss It)
There’s a lot of noise in the AI space.
You see:
Massive n8n diagrams.
Complex agent workflows.
Claims of replacing entire departments.
Most of that is marketing.
You don’t need to automate your entire business.
You need to solve one high-expertise step at a time.
That’s it.
Simple.
Focused.
High leverage.
And when you stack these improvements across:
Client acquisition
Onboarding
Strategy
Reporting
Content
Sales calls
You unlock exponential output without exponential hiring.
The Leadership Multiplier Most Owners Ignore
Here’s something most founders don’t factor in:
More people ≠ linear growth.
More people =
More management
More meetings
More feedback loops
More leadership complexity
It compounds.
If one team member can operate at 3–4x effectiveness because you’ve equipped them properly
You don’t just increase output.
You decrease managerial drag.
That improves:
Agency profitability
Decision velocity
Founder focus
Team morale
Step by Step: How to Implement This in Your Agency
If you want to deploy this immediately, here’s the workflow.
Step 1: Identify a Bottleneck Task
Look for:
A task you or a senior team member always does
Something you hesitate to delegate
A step requiring “taste” or judgment
That’s your target.
Step 2: Define “What Good Looks Like”
Document:
Inputs
Outputs
Criteria
Examples
Non-negotiables
If you can’t define quality, AI can’t replicate it.
Step 3: Create a Custom GPT
Inside ChatGPT (paid plan):
Create a new custom GPT.
Define the role clearly.
Upload training materials.
Add your frameworks.
Provide examples of strong outputs.
Think of it like onboarding a junior hire except it never forgets.
Step 4: Embed It Into the SOP
Update your SOP to say:
Step 4: Paste transcript into X GPT.
Step 5: Select strongest variant.
Step 6: Polish and escalate for approval.
Now the tool is part of the process.
Not an afterthought.
Step 5: Add a 5–10% Human Review
This is critical.
AI gets you to 80%.
A human finishes the final 10–20%.
That keeps quality high while dramatically improving efficiency.
The Compounding Effect on Agency Scaling
Let’s say you have:
10 team members
4 of them underutilized
6 at capacity
You assume the solution is hiring.
But what if:
Each underutilized team member becomes 3x more effective?
Each senior team member offloads 20% of cognitive load?
Now you’ve unlocked:
Additional client capacity
Higher output
Stronger client acquisition momentum
Improved profitability
Without increasing payroll.
That’s intelligent agency scaling.
The Bigger Shift: Stop Protecting Expertise
The biggest mindset shift I’ve had to make:
Stop guarding expertise.
Extract it.
Codify it.
Embed it into tools.
If you keep your thinking locked inside your head, your agency will never scale beyond you.
But if you externalize it into:
SOPs
Trainings
Custom GPTs
Embedded workflows
You create a machine that scales with or without you.
Final Thought: Simple Beats Sexy
You don’t need:
12 AI agents
A spiderweb automation stack
A viral LinkedIn post about replacing your team
You need
Clear processes
Defined standards
Strategic tools
Smart human review
Start with one bottleneck.
Build one GPT.
Test it for 30 days.
Then stack another.
That’s how you turn:
One operator
Into the output of four.
If you want to go deeper, you can run the full version at agencyuplift.co/mini.
Even if you never book a call, the clarity alone is worth it.
