How I Replaced My Assistant with AI (and Saved $100K)

September 14, 2025

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How I Replaced My Assistant with AI (and Saved $100K)

Let me set the scene.

January 2024.
I’m drowning in admin.
Meetings I didn’t want.
Emails I didn’t read.
Introductions I didn’t ask for.
And the worst part? I was paying someone $100K a year to help me stay afloat; and still sinking.

So I did something I didn’t think I’d ever do:

I fired myself… and built a robot to take my place.

The $100K Ghost

First, let me say this: I’ve had amazing assistants.
Smart, loyal, detail-obsessed.
But there’s a dark truth no one talks about:

Admin work has Parkinson’s Law baked into it.
The more support you hire, the more chaos shows up.

Need a quick reply? They’ll draft an essay.
Need a calendar slot? You’ll get a 3-email thread and a Doodle link.
Need a bio sent over? Suddenly it’s a collaborative Google Doc with formatting suggestions.

This isn’t their fault.
It’s the job.
Admin is like laundry; it multiplies while you’re sleeping.

The First Crack

It started small.

I was using Superhuman and noticed I was still spending 2+ hours a day just triaging.
Not replying. Not thinking. Just sorting.

So I built a filter.
Then another.
Then a GPT prompt to categorize incoming mail.

Before I knew it, I had a little AI that could:

  • Read my emails
  • Decide if I needed to see them
  • Sort them into buckets (Kids, Travel, Legal, Finance, Spam)
  • Take action on 80% of them

Game. Changed.

Meet My AI Stack

I call it: The Machine That Kills Email.

Here’s how it works:

  • Lindy.ai reads every email in real time
  • n8n workflows decide where it goes
  • OpenAI GPT-4 does 3 key things:
    1. Summarizes the message
    2. Tags it by topic
    3. Makes a decision: archive, reply, snooze, or flag

Some specific use cases:

  • School newsletters? → Calendar event created
  • Contracts? → Auto-sent to my lawyer
  • Stripe receipts? → Forwarded to finance + tagged
  • Podcast invites? → Ignored unless it’s someone I follow
  • Kid’s field trips? → Event created with reminder to pack lunch

Each of these used to take 15 seconds.
Now it takes 0.

Multiply that by 150 emails a day = real time saved.

What About Scheduling?

I built a “mini‑me” agent for that too.

It knows:

  • When I want meetings (Mon/Tue only, 9–11am)
  • Who gets to book them
  • Who gets a soft “not right now”
  • How much time to block before/after
  • Which video link to use (Zoom for new, Meet for internal)

It integrates with:

  • Google Calendar
  • Notion (for briefings)
  • Slack (alerts if something’s double‑booked)
  • iMessage (sends me a recap every morning at 6am)

No Calendly link. No back and forth.

Just peace.

The Hardest Part: Letting Go

This all sounds slick.
But I’ll be honest; it was emotionally weird.

For years I prided myself on being “accessible.”
Anyone could email me, pitch me, book me, reach me.

Then I realized: that was the problem.

I had become a bottleneck.
I was letting people into my brain without a filter.
My life had become a crowded inbox I didn’t sign up for.

The AI wasn’t just an assistant.
It was a bouncer for my attention.

And damn, it’s strict.

What I Still Use Humans For

Not everything can be automated.
Here’s what my (human) team still handles:

  • Crisis management
  • Strategic decisions
  • High-context comms (M&A, negotiations, HR stuff)
  • Managing my AI (ironically)

But all the rest?
Booked, sorted, filed, and forgotten… by robots.

What It Cost Me

Setup:

  • ~40 hours of my time over 6 weeks
  • $200/month in tool subscriptions
  • $0 custom code (just connectors and workflows)

Return:

  • ~12 hours/week saved
  • $100K/year salary eliminated
  • Sanity restored

Not bad for a duct-taped system running on caffeine and API keys.

The Email Test

If you want to see if you need an AI assistant, try this:

  • Go to your inbox
  • Highlight the last 50 emails
  • Ask: “Do I really need to handle this myself?”
    If more than 10 of them could’ve been handled by:
  • a template
  • a workflow
  • a bot
    You’re overdue.

Can AI Replace All Admin Work?

No.
But it can replace enough to change your life.

Start with triage.
Move to scheduling.
Then layer on research, social DMs, cold outreach, even writing.

Build little workflows that do one thing well.
Stack them.
Refine them.
Soon, you’ll be managing your entire life like an API.

Other Updates

I’m hosting a private retreat in Maui for founders running lean holding companies.
< $50M revenue, no fluff, just real ops and dealmaking talk.
DM me if you’re interested.

Still loving Beeper; combined all my DMs into one keyboard-driven app.
I actually sleep now.

Been playing with AI agents for sales follow-up. If you’ve built something that auto-follows in a human tone, I want to see it. Bonus if it knows when to back off.

Also, hiring a full-time “Automation Partner.”
You’ll live in Lindy, Notion, Superhuman, and n8n.
I’ll throw weird problems at you, you’ll solve them with flows.
Think: “Chief AI Janitor.”
Reply if interested.

FAQs

1. Did this actually save you $100K?
Yes; my last full-time assistant was $96K/year. I built workflows that replaced 80% of the role.

2. Isn’t AI still too dumb for this?
It’s dumb until you give it context. Once trained, it’s eerily good.

3. What tools do you use?
Lindy, GPT-4, Superhuman, n8n, Zapier, Notion, Google Calendar, Slack, Twilio.

4. Do you still need a human assistant?
Sometimes. But far less often. My team only steps in when the AI hits an edge case.

5. Does it make mistakes?
Yes; but fewer than tired humans.

6. How long did it take to build?
6 weeks of tinkering, testing, and rebuilding.

7. What’s the ROI?
12 hours/week saved + $100K/year cost eliminated = worth every second.

8. What’s next?
AI that handles inbound opportunities—screening deals, partners, pitches.

9. Is this scalable for teams?
Absolutely. You can clone your best admin person’s logic and scale it org-wide.

10. Where should I start?
Triage your inbox. That’s where the magic is.

That’s all for now…

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