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Built around the job
The work starts with a bottleneck—follow-up, billing, scheduling, reporting, documents, or another repeated job—not a trendy tool list.
Custom AI Implementation
DOBE's main offer turns one dedicated MacBook into a managed AI employee: one screen for you, approved access to the tools behind it, and one complete job built first.
Reviewed August 7, 2026
Direct Answer
First DOBE maps the job. Then it connects only the context and tools that job needs, tests real examples, sets approval gates, and monitors the result. You get a working system built around one useful outcome—not a generic chatbot or a strategy document.
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The work starts with a bottleneck—follow-up, billing, scheduling, reporting, documents, or another repeated job—not a trendy tool list.
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The system can work from approved emails, files, customer records, calendars, spreadsheets, CRM data, and the rules that make your business different.
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You set the approval rules before launch. Customer messages, money, sensitive records, and risky changes pause for review; proven low-risk steps can run on their own.
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A real implementation needs logs, failure handling, updates, and support. DOBE stays involved after the first workflow is working.
The System
Every implementation is custom, but the dependable pieces are consistent: business context, controlled access, clear rules, testing, visibility, and a first job that can prove itself.
Find repeated work, missing inputs, risky decisions, and the jobs with enough value and clarity to automate first.
Organize the approved facts, examples, policies, customer context, tone, and operating rules the AI needs to do useful work.
Connect email, calendar, CRM, QuickBooks, spreadsheets, documents, forms, reports, and browser-based systems where practical.
Use AI where the job requires reading, comparing, summarizing, drafting, prioritizing, or handling real-world variation.
Define what the system may do, what must be reviewed, what evidence it should retain, and when it must stop and ask.
Track runs, inspect failures, update context, and expand responsibility only after the first job is trusted.
How DOBE Implements AI
Find the repeated computer work that costs time, slows customers down, or depends on the owner remembering every step.
Rank possible jobs by value, frequency, risk, available data, and how clearly a good result can be checked.
Connect the approved tools and context, then build the smallest complete version of the first workflow.
Run real examples, inspect edge cases, add approval gates, and make failure states visible before daily use.
Put the workflow where the owner can use it, see it, approve it, and understand what happened.
Monitor the job, fix what changes, and add more responsibility only when the evidence supports it.
Where To Start
The best first job is usually frequent, painful, checkable, and narrow enough to earn trust quickly.
Read the request and account history, prepare a useful reply, update the CRM, and keep a human approval step before anything sensitive goes out.
Compare emails, PDFs, job notes, payment records, and spreadsheets so the owner reviews a clean result instead of rebuilding it by hand.
Pull the numbers and open items that matter, explain what changed, and flag anything that needs a decision.
Real Implementations
A dedicated client Mac refreshes real order history and prepares review-first follow-up drafts in the client's current mail workflow. Source facts are rechecked, and nothing is sent until a person reviews it.
See the follow-up build02A guarded contractor billing pilot groups invoice inputs, blocks customer and job mismatches, and keeps Outlook and QuickBooks actions behind separate approval.
See the billing build03A real meeting transcript became a CRM update, scoped quote, deposit invoice, email, and text follow-up with final-state verification.
See the sales workflowCost And Scope
DOBE prices the first real job after the workflow is understood. These are the factors that change the scope.
Common Questions
It is the practical work of choosing a useful job, preparing the business context, connecting the existing tools, building and testing the workflow, adding approval rules, deploying it, and maintaining it after launch.
The AI Employee MacBook starts at $5,000 upfront plus $300 per month. That includes the dedicated Mac, private workspace, setup, and one tightly scoped Starter Workflow allowance. A harder first job receives that allowance and the added scope is quoted before work begins. Standalone workflows are quoted from the defined job.
A narrow first workflow can move much faster than a company-wide rollout. Timing depends on app access, data quality, edge cases, and how quickly real examples can be reviewed. DOBE defines those dependencies before the build starts.
DOBE is built to take repeated computer work off people, not make unsupported staffing promises. The strongest first uses usually add capacity, improve follow-up, and reduce manual handoffs while people keep judgment and approval.
Usually. DOBE starts by mapping the tools already involved in the job, then uses approved APIs, files, browser workflows, or other controlled connections where they are reliable and allowed.
The implementation uses scoped access, approved context, explicit rules, review gates, logs, validation, and clear stop conditions. More responsibility is added only after the earlier job is working and trusted.
Yes. DOBE is based in Thayne, Wyoming and works with small businesses nationwide when the workflow and support model are a fit.
One Job First
Tell Tanner what computer work keeps pulling you back in. He will tell you what should be built first, what should stay human, and what the implementation actually requires.