Real jobCustomer & sales
Customer History to Review-Ready Follow-Ups
395+
client drafts tracked
- Goes in
- Approved customer and invoice exports
- Comes out
- A small, review-ready Gmail queue
AI implementation for small business
AI implementation.You don't buy the AI. You buy the outcome.
I build and manage an AI employee that completes defined work inside your business.
Real work. Recorded.
Updated September 17, 2026
$69M+
In historical invoices organized
Years of invoice history brought into one searchable customer database.
Historical records from 2019–2026. Invoice value, not revenue generated.
39.6B+
AI tokens recorded
470,000+
AI activity events recorded
Token usage is recorded and may overlap across ledgers. Activity totals include tests and demos.
See the invoice workMore recorded work & how we count it
9,000+
Invoice records organized
9,033 distinct invoice records in the same historical database represented by the $69M+ figure. Invoice dates span August 2019 through May 2026.
Verified September 17, 2026
350,952
Connection events recorded
Connection-category events within the activity total above. Includes tests, demos, retries, and instrumentation; these are not independently verified successful external actions.
Verified September 17, 2026
1.09M+
Committed lines changed
Recorded minimum of added and deleted text lines across 1,295 owner-authored commits, including code, documentation, and generated text. Mirrored commits and binary files are excluded.
Verified September 17, 2026
65,104+
Supervisor checks recorded
Recorded minimum across 3,534 workflow supervisor receipts. Includes repeated scheduled checks, warnings, and failures; not a count of unique safeguards or prevented errors.
Verified September 17, 2026
2,431+
Deployment records
Historical recorded minimum across DOBE-built projects, including production and preview deployments. Combines the August audit with 88 newer records; at least 2,390 reached READY status. This is not the current retained API row count.
Verified September 17, 2026
395+
Client drafts tracked
Historical verified minimum of review drafts created by one client AI MacBook. The client database was not refreshed for the September update; this remains the floor supported by August receipts.
Verified August 18, 2026
Done for you means done for you
I handle the whole setup. You keep running the business.
I learn how the job works now. I set up the brand-new MacBook. I connect the apps and files it needs. I teach the AI your rules. I build the first job, test it on real work, and hand it over working. You do not become the AI person at your company.
Hundreds of business tools flowing into one AI MacBook.
Works with 1,000+ business tools.
Including Safari, Chrome, Edge, Firefox, accounting, sales, email, ecommerce, project management, design, communication, database, and development tools.
Put your numbers in
What is the computer work costing you?
If that repeat job takes these hours each week:
520Job hours per year
$39,000Job cost per year
Straight math from the numbers you chose. It does not predict savings.
It is one real MacBook that belongs to your business. I give it the rules, examples, and information the job needs, connect the apps you already use, and build the computer jobs into it. One Mac. One screen. One AI employee.
At 10 hours each week and $75 per hour, the entered math equals 520 hours and $39,000 in annual time value.
Why implement AI on a MacBook
The MacBook turns AI from something you visit into something that works inside the business.
A chatbot knows the conversation in front of it. The AI MacBook is configured with the business context and approved tool access needed for a defined job, then delivered as one managed place to ask, check, and receive the work.
Just giving the team AI access
Another login.
Implemented AI MacBook
One Mac. Working.
Everybody gets another login
One dedicated MacBook with a defined role
Why the AI MacBook is different
The finished implementation is your AI MacBook.
Selected business work
Businesses I've built for.
Real work. Real jobs.
Here’s what the work looks like.
Real inputs. One AI MacBook. Finished work you can check.
See all proofReal job
Real jobFiles & operations
Four Accounting Exports to One Audited Customer Database
$69M+
in historical invoices organized
- Goes in
- One exact four-file accounting export set
- Comes out
- One current, audited customer database
Real client reviews
What clients say.
“Tanner was incredibly helpful to our business by figuring out a pretty complex AI Mapping to auto generate invoices.”
Showing review 1 of 4 from Tanner Muchmore.
Tanner, in plain English
The AI does the work. You buy the outcome.
You keep the tools and process that already work. I build the Mac around them, then make sure the assigned job is handled the way you expect.
Read the video transcript
Most AI still makes you do the work. And worse than that, most AI makes you change the way your business runs just so their app makes sense. This is the part nobody talks about. They do not actually remove the work. They hand you a new system and say, “Here, run your business through this.” That is backwards.
You should not have to rebuild your business around somebody else's software. The software should be built around your business. That is what an AI MacBook is. I take the way your business already works and I build the MacBook around that—not some fake, cleaned-up version of your business. Your actual business. The one you're already running every single day.
Then I teach the MacBook to handle the computer work that comes with that. Not to explain it to you, not to give you ideas, not to make you another list. It does the work. So instead of working all day and then coming back to fight the computer, you do the real work. The MacBook handles the office.
That is the difference. Normal AI is something you use, and an AI MacBook is something that you put to work. One Mac. One screen. One AI employee.
Why AI implementation matters
One complete job first.
Buying AI is easy. Getting it to work inside the business is the hard part. Implementation is everything between having access to AI and trusting it with a real job. That means the business context, tools, rules, permissions, testing, delivery, and somebody staying responsible after launch. I do not try to automate your entire company in one swing. I build one useful job all the way through.
- Customer follow-up
- Invoice and document work
- Owner reporting
How it starts
Start with one job.
Add more only after it works.
One outcome. Built and managed for you.
$5,000
+ $500/month
Brand-new MacBook
One real job built in
14-day satisfaction period
Read the guarantee
The 14-day satisfaction period starts at Operational Delivery. A cancellation during that window refunds the cash collected on the AI Employee MacBook upfront invoice minus the $750 setup and deployment fee, and the Mac is returned to DOBE.
Your starting point
Not ready for an AI employee?
Start with the same workspace foundation Tanner uses. For FREE.
Give your AI a place to learn your business, keep your context, and organize your work. Make it yours now. When you’re ready, Tanner can build your workflows on that foundation.
Download for free
No GitHub or credit card required.
The person behind DOBE
Built by Tanner.
Hey, I'm Tanner.
WyomingMarriedTwo dogsAlways outside
I hate wasted time. I build and manage AI employees that complete real work inside the business you already have. You keep the tools and process that already work. You don't buy the AI. You buy the outcome. Finished work you can check. The goal is more time for real life.
Life outside the work.
This is what getting off the computer is for.
The details
Questions, answered.
It is the work of choosing a useful job, setting up the AI and tools, teaching it the business rules, testing it, and putting it into daily use.
Have one repeat computer job in mind? Show me what happens now. I will map it with you for free in 15 minutes.
Free 15-minute first AI job map
Map My AI Implementation.
Show me the job you want implemented. I will map what it touches, where it needs approval, and what the first build should be. You do not need to manage an AI project before we talk. Bring one job that is slow, repetitive, or easy to put off. I will help you define the useful finish line and tell you whether it fits a workflow-only build or the full AI MacBook.