Do I have to manage the implementation?

No. I learn the job, build the setup, connect it, test it, and keep it working. You show me how the business works and judge the finished result.

Do I have to replace my current software?

No. I build around the software, files, and steps you already use whenever they can be connected reliably.

What is delivered at the end?

A brand-new AI MacBook built around your business with the first real computer job working inside it.

Can the Mac run a job automatically?

Yes. You choose whether a job stops for every review, stops only for important decisions, or runs all the way through.

What happens after it is delivered?

I stay involved to monitor it, fix what changes, and build more jobs after the first one is working.

What happens on the free 15-minute call?

You show me one job you want implemented. I map the inputs, tools, decisions, approval points, and finished result, then give you the clearest next step.

How much does done-for-you AI implementation cost?

The full AI MacBook starts at $5,000 upfront plus $300 per month. One simple first job is included. More difficult jobs are scoped and quoted before implementation begins.

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.

Through August 19, 2026

25.4B+

AI tokens recorded

281,644

AI work events

201,586

External actions

546,350

Code lines changed

41,895

Guardrail checks

2,343

Deployments

395+

Client drafts tracked

Watch one job work

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.

Works with 1,000+ business tools.

QuickBooksSagePayPalWiseVenmoKlarnaAdyenBinanceGustoWooCommercePrestaShopeBaySquarespaceWebflowGhostJoomlaZohoZendeskBrevoMailgunGoogle AnalyticsHotjarMetaInstagramYouTubePinterestRedditMastodonTumblrAsanaAirtableJiraBasecampLinearGitLabGoogle CalendarGoogle DriveDropboxEvernoteMiroFramerTelegramZoomLoomCal.comSurveyMonkeyClaude CodePerplexityGitHub CopilotHugging FaceZapierIFTTTNetlifyGoogle CloudKubernetesPulumiJenkinsTravis CISupabaseMongoDBMySQLRedisDatabricksElasticsearchDatadogNew RelicInsomniaGitIntelliJ IDEAWebStormAndroid StudioPythonTypeScriptNext.jsAngularTailwind CSSDjangoFastAPIPHPSwiftRustC++SpotifyVimeoMediumBloggerHootsuiteLinktreeBehanceG2YelpBooking.comAirbnbLyftUber EatsDeliverooNamecheapFedExDHLMeetupPatreonKickstarterToggl TrackRescueTimeMEGAProton MailThunderbirdGoogle ChromeMicrosoft EdgeLastPassOktaCloudflare PagesImgurPexelsContentfulStrapiAlgoliaApache KafkaApache AirflowMetabaseCodaGrammarlyGoogle TranslateGoogle MapsHERELiveChatAircallSemrushGoogle Tag ManagerCarrdAppsmithReplitCodeSandboxnpmYarnDenoLinuxDebianCentOSArch LinuxAndroidRaspberry PiUnityBlenderDaVinci ResolveOBS StudioSAPIndeedUpworkFreelancerTeamCityArgoPrometheusSplunkOpsgenieAkamaiNeonSQLiteClickHouseJupyter

XeroStripeSquareRevolutCash AppAfterpayCoinbaseBrexShopifyBigCommerceEtsyTargetWixWordPressDrupalHubSpotIntercomMailChimpKitMixpanelMatomoGoogle AdsFacebookTikTokXSnapchatThreadsBlueskyNotionClickUpTrelloConfluenceTodoistGitHubBitbucketGmailGoogle SheetsBoxObsidianFigmaDiscordWhatsAppWebexCalendlyTypeformAnthropicGoogle GeminiCursorOllamaLangChainMakeVercelCloudflareDockerTerraformAnsibleCircleCIDigitalOceanFirebasePostgreSQLMariaDBSnowflakeGoogle BigQueryGrafanaSentryPostmanSwaggerJetBrainsPyCharmXcodeNode.jsJavaScriptReactVue.jsSvelteRuby on RailsFlaskLaravelKotlinGo.NETRApple MusicTwitchSubstackBufferBitlyDribbbleProduct HuntTrustpilotTripadvisorExpediaUberDoorDashInstacartGoDaddyHostingerUPSUSPSOpen CollectiveBuy Me A CoffeeFoursquareClockifyWeTransferProton DriveHEYSafariFirefox BrowserBitwardenAuth0Cloudflare WorkersCloudinaryUnsplashStoryblokSanityPrismicElasticRabbitMQAirbyteQlikRoam ResearchDeepLOpenStreetMapMapboxHelp ScoutVonageCampaign MonitorGoogle Search ConsolePlausible AnalyticsRetoolGlideStackBlitzStack OverflowpnpmBunHomebrewUbuntuRed HatFedoraApplemacOSArduinoUnreal EngineSketchAudacityVEEDGreenhouseGlassdoorFiverrGitHub ActionsBambooHelmOpenTelemetryPagerDutyFastlyPlanetScaleCockroach LabsInfluxDBApache SparkAnaconda

Put your numbers in

What is the computer work costing you?

Hours one repeat job takes each week

10 hours

1 hour80 hours

What one hour costs

$75 / hour

$10$500

Use what you pay someone—or what an hour of your own time is worth.

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.

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.

A business computer buried under overlapping email, calendar, invoice, spreadsheet, customer, and notification windows

One clean AI MacBook holding the business computer work in a single finished-work queue

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 proof

Approved customer records entering one AI MacBook and becoming three checked follow-up drafts waiting for human review

Real job

Customer & 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

Read the receipt

Exactly four accounting exports entering one AI MacBook and becoming one audited customer database

Real job

Files & operations

Four Accounting Exports to One Audited Customer Database

8,986

invoices recovered

Goes in: One exact four-file accounting export set
Comes out: One current, audited customer database

Read the receipt

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.”
Tanner Muchmore
Accounting business owner · 5-star review

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.

See the jobs

How it starts

Start with one job.

Add more only after it works.

One outcome. Built and managed for you.

$5,000

+ $300/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.

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.