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How I Think About AI Automated Email
You probably spend too much time in email.
Right now email seems to be one inbox, one response strategy, one overwhelmed human trying to keep up.
That's not how it works in reality.
Email has different types of messages that need different types of responses. Some need you. Some don't.
The trick is knowing which is which, and building systems that handle it automatically.
Let me break down the four email automation layers I'm building. I've got a few running already. They're definitely able to save boatloads of time, and they're not some enterprise-level complexity bs.
Layer 1: The Router (Your First Line of Defense)
This is your bouncer, if you will.
Every email that hits your inbox gets categorized immediately. Customer service? Sales inquiry? Meeting request? General question?
The router buckets everything and sends it down the right pipeline. No human decision required. The buckets are made from an automation that analyzes your inbox.
Think of it like this in the lens of my previous business: a catering company gets an email. Is it someone asking about availability? Confirming an existing event? Complaining about the food?
Each one needs a different response. The router figures that out before you even see it.
Why this matters: You're not context-switching between totally different types of emails. Your brain isn't bouncing from "angry customer" to "new lead" to "meeting confirmation." The system handles the sorting.
Layer 2: General Responder (Draft Mode)
Here's where most people mess up automation.
They think it should just auto-reply to everything. But we’re not there yet. It sounds like a robot wrote it because a robot DID write it.
My general responder doesn't send. It drafts.
Common questions you've answered a thousand times? The AI writes a response, saves it to drafts, and you review it. It takes 10 seconds to approve or tweak. It Feels human because it technically is human, you're just not wasting 5 minutes crafting the same answer you gave yesterday.
I don't like fully automated replies for nuanced stuff. But I also don't like wasting time rewriting "Yes, we can accommodate gluten-free options" for the 19th time.
Draft mode is the middle ground.
Layer 3: Meeting Scheduler (Full Auto)
This one? Full automation. No drafts. Immediate response.
Why? Because speed matters for sales. Someone wants to book a meeting, you want them locked in before they change their mind or find your competitor.
Here's how it works:
Email comes in → Router identifies it as a meeting request → Passes to the scheduler agent
The scheduler agent looks at your calendar and determines:
Is this a meeting with a specific time proposed?
Is this a meeting request without a time?
Is this confirming an already-booked meeting?
Is the proposed time already taken?
Then it responds accordingly and confirms if the time works, proposes alternatives if you're booked, or asks for preferences if they didn't give you specifics.
Any meeting that gets scheduled triggers an alert via something like Slack or text so you'll actually SEE it immediately.
I don't trust email notifications for calendar stuff as it’s too easy to miss.
Layer 4: Lead Sequences (The Money Maker)
This is where automation starts making money directly instead of just saving time.
Someone voluntarily gives you their email. They fill out a form, take your lead magnet quiz, or just request your service.
What happens next determines if you make money or not.
Many businesses will wait. They'll "get back to them” because they’re busy working on what they’re business actually does. But this can cost you when the lead goes cold.
Not with this system.
The moment that email hits your database, a sequence fires:
First touch: Immediate value. For a catering company, that's the menu, venue photos, pricing guide, whatever they asked for. Send it instantly.
Second touch: If they requested your service specifically, you follow up. Three emails, spaced out, each adding value or addressing objections.
Third touch: If they don't respond, the system tracks (via email ID) and follows up again. "Did you see this?" "Still interested?" Not pushy but persistent.
And you get an alert, Slack, text, or whatever, so you know there's a hot lead in the pipeline.
I forgot to mention there will be segmentation involved here
Because, not every email signup is the same.
Someone joining your newsletter? They get a welcome sequence, maybe three to five emails that explain who you are and what you're about. Then you segment them further based on engagement.
Someone requesting your SERVICE? Different sequence entirely because it’s higher urgency. You’re more focused on immediate conversion.
The system routes them appropriately, no manual sorting required.
Layer 5: Campaign Sequences (Seasonal & Product-Specific)
This is your promotional layer. These are going to change. They involve stuff like new product launches, seasonal offers, and special campaigns.
You build a sequence that runs either:
At a specific point in the customer lifecycle (they've been subscribed for two months)
Seasonally or one-time for everyone on your list
These are time-bound, three weeks, maybe. They’re specific and focused, not just your evergreen nurture stuff.
This is tactical. You implement it, it runs, it converts, it stops.
Why This Actually Matters
Right now, doing all of this manually you'd need a full-time person.
Even then, it's a lot, especially if you're getting volume.
But with this stack running? Well it’s running 24/7 creating more customer touchpoints
More touchpoints = more sales. That's not theory, that's math. You’re getting more offers in front of the customer and responding quicker.
On top of that you're not thinking about the nitty gritty. The system handles it.
You review drafts, you get alerts for important stuff, but you're not IN the inbox all day. You’re thinking strategically on how to best use the email system to acquire more customers.
That’s the point of ai automation in my mind. Remove the tedious nitty gritty work so you have more time on your hands to think strategically, or just to go out and enjoy life or something.
Automation I’m Using Myself
Find Podcaster Info:
Input
Podcast URL from Apple Podcasts
Process
Scrape podcast data - Extracts information about the podcast (host details, show information, etc.)
Update database - Stores scraped podcast and host information in a database
Enrich contact data - Adds additional contact information and details about the host
Send Slack notification - Delivers a summary message with:
Relevant links
Notion database entries
Report details
Output
Enriched podcast/host data stored in database + Slack notification with quick access links
Summary: This workflow automates podcast prospecting by scraping Apple Podcasts for host and show information, enriching contact details, storing everything in a database, and sending a Slack summary with all relevant links for outreach purposes.
Link for the automation
sign up for gumloop https://www.gumloop.com/?via=SIMPLE

Thanks for reading,
James

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