Files, pages, scripts, Git, and static hosting can move fast.
Markdown, HTML, JSON, CSV, images, PDFs, and small scripts can become real software surfaces before the business commits to heavy infrastructure.
Examples first
The work sells Ten Thirty Two.
A business owner should see proof before theory. These tiles show the pattern: a plain request becomes a page, video feature, customer workflow, evidence archive, or controlled deployment.
PrivateOps
Private business knowledge, AI-ready.
Internal documents, private Git, AI review, human approval, and approved output.
RFN
Market narrative archive.
Public observation, timing, evidence, and narrative change over time.
Bella Bees
Teaching, products, and video-first publishing.
A real owner-operated brand that can keep learning materials alive.
Bacon Ag
Parts lookup and service workflow.
Customer requests move toward organized supplier review instead of loose messages.
J1S
Customer site on Azure Static Web Apps.
Real equipment, secure request packets, and a deployment lane that can keep moving.
Demo Lab
Fast experiments with a memory.
Small requests become working pages, then stay findable when the next demo arrives.
Infrastructure after AI
The old infrastructure tax is dying.
AI changed the starting point. A small business does not always need a giant database project, a year-long software build, or a locked platform before it can prove a workflow. The modern stack can be loose, portable, cheap to start, and owned by the business.
A database is a tool, not the admission ticket.
Databases still matter for transactions, scale, permissions, and complex relationships. They are no longer required just to test the idea, publish the page, organize the records, or prove demand.
The business should be able to leave with its work.
When source files, history, media, prompts, and approvals live in Git-backed structures, the company is less trapped inside one vendor dashboard.
Software can start almost free.
Open tools, free tiers, static hosting, AI-assisted editing, and human review can take a plain request to a working page or internal tool before a large software budget exists.
Token discipline
AI is powerful. Unmanaged token use is expensive.
Recent reporting around Microsoft and Uber shows the enterprise problem clearly: teams can love AI coding tools, use them constantly, and still force leadership into a budget reckoning. Ten Thirty Two solves that problem by teaching the operating method around AI, not just handing people another tool.
Do not pay the model to reread the whole business.
We teach teams to package only the files, decisions, examples, and constraints the task needs. Smaller context means faster review, lower waste, and cleaner output.
Stop re-explaining the same operation.
Prompts, SOPs, deployment notes, style rules, and business decisions belong in reusable Git-backed memory so each run starts smarter.
Measure useful shipped work, not token volume.
Leaderboards that reward usage can create waste. Ten Thirty Two favors scoped tasks, reviewed changes, clear stop points, and reusable artifacts.
Use the right model, mode, and stack for the job.
Some work needs a frontier agent. Some work needs a static page, a script, a checklist, a smaller model, or a human approval step. The savings are in knowing the difference.
This is the Uber/Microsoft lesson for small business.
AI cost is not just a finance problem. It is an operating discipline problem: scope the run, limit context, preserve memory, review output, and teach people how to spend tokens on work that matters.
Plain English website changes
Website updates without the technical headache.
Ten Thirty Two engineers set up the pipe between your domain, website code, AI assistant, and deployment pipeline.
You describe the update in plain English. The connected workflow turns it into a reviewable site change and moves it toward deployment without making the business owner handle the technical machinery.
Controlled
Reviewable
Business-ready
Prompt example
Build the Artificial You that ships your ideas.
Ten Thirty Two does not replace your brain. It gives your words a pipe into code, content, GitHub, and deployment so the idea in your head can become a reviewable website change.
I own a real business. Help me update my website in my voice. Make the page easier to understand on mobile, keep the design consistent, update the code, show me what changed, and keep working until the request is ready for review or you need a real decision from me. Do not publish until I approve.
You stay the creator. The AI keeps iterating inside the credits, permissions, and approvals you choose; Ten Thirty Two teaches you how to steer the system and control the world you are building.
The pipe we build
Your business enters one door. The technical friction disappears behind it.
Use your AI assistant and plain business language.
Ask for the page change, product update, form cleanup, video post, market note, weather tool, parts selector, or service-page edit without naming the technical stack first.
We connect the domain and deployment path.
Repository, hosting, source control, review, form packets, media, SEO, and deployment are organized into a repeatable update pipe.
Real updates can move faster.
The goal is the ultimate easy CI/CD setup for a business: controlled, reviewable, and simple enough to use repeatedly.
RemovedDomain confusionDNS and publishing path organized.
RemovedRepo mysteryWebsite code has a known home.
RemovedCI/CD anxietyDeployment is a workflow, not a guessing game.
RemovedUpdate bottlenecksThe next change has a path.
PrivateOps
Private AI-ready infrastructure for real business knowledge.
Your business knowledge should not be trapped in email chains, spreadsheets, shared drives, and undocumented employee memory. PrivateOps turns internal business knowledge into a controlled, versioned, AI-readable operating system.
Sensitive source data can stay inside the business-controlled environment.
Only approved outputs are published externally.
Git records history. Humans approve changes.
Security comes from access controls, identity, encryption, permissions, backups, and deployment boundaries.
Configured around the operation.
Documents, workflows, SOPs, vendor records, parts lists, reports, and publishing outputs get a controlled path.
Dual-lane DevOps
Both repositories can be private. They do different jobs.
Public-output lane: a private GitHub repository can map to GitHub Actions and Azure Static Web Apps for approved site updates, customer pages, reports, and public artifacts.
Private-operations lane: a separate private Git, Gitea, Forgejo, or GitLab repository can stay inside the business-controlled environment for SOPs, records, files, notes, and AI-assisted review.
That separation creates the small-business DevOps layer: private source memory on one side, approved public deployment on the other, with human approval between them.
What it is
A website operations layer for small businesses.
Ten Thirty Two turns plain-English change requests into website updates that can be reviewed, committed, deployed, and repeated without making the customer become the engineer.
Say what needs changed.
Update a page, add a product, publish a video, change a form, organize a catalog, or clean up a customer workflow.
Builds the pipe.
Domain, website files, source control, content, images, forms, deployment, and the approval path stay organized.
A controlled update path.
Less waiting, fewer technical handoffs, and a repeatable way to publish changes without fighting the machinery.
Who it helps
Built for owners who need the website to keep up.
Local businesses
Real pages, real forms, real customer information.
Service companies
Requests, job pages, estimate forms, photos, and updates.
Shops and farms
Parts, products, field notes, seasonal pages, and order workflows.
Non-technical owners
No need to know Codex, GitHub, Azure, CI/CD, or deployment jargon.
Small teams
A reviewable update path without hiring a full-time developer.
How it works
From request to published update.
Connect the website repository
The site stays source controlled and deployable. The business keeps ownership clear.
Connect the AI update program
The request path can turn normal language into structured website work.
Review the update
Copy, layout, forms, links, and workflows can be checked before publishing.
Publish through the deployment pipeline
The update moves live through a controlled, repeatable path.
Ten Thirty Two in motion
Your plain request can become something real.
Pages, forms, catalog paths, publishing updates, commerce prep, and operating tools can start as a normal business conversation, then move through source control into a public workflow.
Start with one deployable TileInternet break room
Strong Bad Emails from YouTube.
Official Homestar Runner uploads, embedded here as a tiny reminder that the web is better when it has jokes, strange timing, and people making things because they mean it.
01 / Trogdor origin
Dragon
Strong Bad teaches the world how to draw a dragon, and the internet gets one of its durable little sparks.
Techno
A short, strange, sticky lesson in how tiny internet things become cultural furniture.
Japanese Cartoon
Proof that parody, format, and commitment can make a whole world out of one reply.
Anything
A little chaos in the inbox, which is usually where the best web ideas begin anyway.
Strong Bad, Homestar Runner, and the videos belong to their creators. Ten Thirty Two is just pointing to the official YouTube uploads.
Why it matters
Website operations, not a one-time redesign.
Less waiting on web edits
Owners should not have to stop the business to chase small website updates. Ten Thirty Two gives changes a known path.
Safer controlled publishing
Changes stay reviewable and source controlled, so the site can improve without losing track of what happened.
Founder bio
Michael Hurst builds the operating layer behind Ten Thirty Two.
Michael Hurst is the owner and operator behind Ten Thirty Two, a practical AI-assisted digital infrastructure shop for real businesses, founder-led projects, and client implementations.
Ten Thirty Two
Michael turns plain business requests into deployed websites, publishing systems, commerce preparation, content workflows, and operating tools. The work focuses on the middle layer between an owner and the web: domain, GitHub, content, forms, video, automation, and live updates.
Operating background
Michael brings practical operating discipline into digital infrastructure: organize the request, build the workflow, publish the result, and keep ownership clear.
Request access
Start with one website change.
Tell Ten Thirty Two what you want changed on the website. We will map the request into a reviewable update path.
No payment flow on this page. Start with a real business need and one person who can approve changes.
Bring the website
Send the current website link and explain what feels wrong, missing, outdated, or slow to change.
Describe the change
Use normal business language: add this service, fix this page, publish this product, update this contact flow.
Gather the pieces
Photos, videos, prices, forms, service details, customer questions, and approval notes stay organized.
Review the update
The change can be checked before it goes live, including copy, layout, links, and customer actions.
Publish safely
The approved update moves through the deployment path instead of being pasted together by guesswork.
Repeat when needed
Once the path exists, the next website change is easier to request, review, and publish.
What we need from you:
Your business name, website link, the change you want, any photos or source details, and the best person to approve the update.
Request accessProjects and businesses
One infrastructure pattern across real work.
Destroyable demo lab
Demo Lab
The live Ten Thirty Two proof page: request a change, encrypt the packet, update the repo, deploy, and archive the previous version so the work keeps growing.
Owned and operated by Ten Thirty Two. This is the permanent sandbox for showing how quickly a plain request can become a live page.
Ten32 Workbench / Tiles
Ten32 Workbench is the AI-assisted operating desk for turning rough business requests into deployable Tiles: small, finished units of web work that can be reviewed, reused, versioned, and shipped.
- Build: pages, forms, landing pages, reports, and content systems.
- Operate: catalog paths, request packets, commerce flows, publishing updates, and internal tools.
- Ship: source-controlled files, mobile-first QA, deployment notes, public links, and archive trails.
Productizing in public inside Ten Thirty Two. The platform page is being developed from live client/demo work.
Owned and operated by Michael Hurst unless otherwise stated.
Publishing system
Real and Fake News
A live financial stock-system and agentic market brief project showing how AI-assisted workflows can support market notes, structured publishing, indexing, and continuous site updates.
Owned and operated by Michael Hurst unless otherwise stated.
Owner-operated business
Bella Bees
A beekeeping and product-development brand exploring field operations, hive products, content publishing, and customer-facing digital workflows.
Owned and operated by Michael Hurst unless otherwise stated.
BeeOps
A field and business operations concept for beekeeping workflows, billing, records, orders, and service coordination.
Concept work. Public site not launched yet.
Owned and operated by Michael Hurst unless otherwise stated.
Bella Bees Heaters
A non-chemical beekeeping equipment concept focused on practical hive management and productized field hardware.
Owned and operated by Michael Hurst unless otherwise stated.
Client / partner implementation
Bacon Ag Repair
An agricultural repair business supported with service requests, parts-finder pages, and dealer-commerce workflow planning.
Owned by Doug Bacon. Ten Thirty Two supports digital infrastructure, deployment strategy, commerce workflows, and AI-assisted site operations.
Customer construction site
J1S Contracting
A live customer site for excavation, septic installs, land clearing, trucking, secure request packets, and fast-response customer contact.
J1S Contracting is independently owned. Ten Thirty Two built and deployed the customer site, encrypted contact workflow, visual direction, and GitHub/Azure deployment path.
Full examples archive
More proof, still alive.
These are not mockups or pitch-deck thumbnails. Each card opens a live site, repo, tool, client workflow, product page, or operating experiment that is already published.
More than fifteen live doors into the same operating pattern.
A business request becomes structured copy, code, forms, search pages, source control, and a public update. Click through the work and you can see the system becoming real one deployed page at a time.
01 Destroyable demo
Demo Lab
The first stop: a safe Ten Thirty Two sandbox proving how quickly a request can become a live page, then stay archived when the next demo replaces it.
02 Operating hub
TenThirtyTwo.com
Parent company and practical AI infrastructure story.
03 Financial / publishing agent
RealAndFakeNews.com
Live market desk, public notes, and agentic brief system.
03b Human observation page
RFN Thoughts
A living Real and Fake News page for observations about attention, pace, markets, memory, and the human feed.
04 Owner-operated business
BellaBeeHives.com
Beekeeping, education, products, marketplace, and field workflows.
05 Product concept
HiveGuard heat box
Bella Bees heater concept and product detail page.
06 Client / partner
BaconAgRepair.com
Doug Bacon's ag repair site supported by Ten Thirty Two.
07 Dealer-commerce workflow
Bacon Ag parts finder
Static parts request cart and supplier-review workflow.
08 Free publisher start
Create my page
Signup page for personal posting pages, YouTube playback, encrypted request packets, GitHub, and domains.
09 Client-side conversation
What do you think?
Ask a question and save a local board that follows the visitor across Ten Thirty Two screens.
10 Safe interaction demo
Would you rather?
School-game choices, local voting, and refusal checks for custom prompts before anything gets saved.
11 Advertising lab
Magic bean ads
Organic honey, product pages, funny ad strips, Zinn pauses, and examples of turning plain requests into pages people control.
12 Customer construction site
J1S Contracting
Excavation and septic customer site with secure request packets, real equipment imagery, and Azure Static Web Apps deployment.
13 Demo archive
Demo Archive
A growing list of saved demo pages, so experiments remain clickable after the current demo changes.
14 Social generator
Social Post Generator
Browser-only post builder for Bella Bee Hives and Ten Thirty Two, with Facebook, X, LinkedIn, character counts, copy buttons, and PNG card export.
15 Pimp My Website
Pimp My Website Demo #1
A before-and-after civic website experiment using the submitted Millennium Park page as the starting link.
Demo examples
Demo #3 pick: Mug-n-Bun Drive-In.
Examples live here after the explanation. The next Pimp My Website lead is Mug-n-Bun in Speedway/Indianapolis: an iconic local restaurant site with a visible first-screen friction point.
Why these projects matter
These are not random websites.
Business request
A real operator needs a page, workflow, catalog path, publishing update, order form, or internal tool.
AI-assisted implementation
The request becomes structured content, code, forms, search pages, or deployment-ready changes.
Source-controlled code
Changes are tracked so the work can be reviewed, improved, deployed, and maintained over time.
Automated deployment
Updates move from local work to a public website or workflow without turning the business owner into a software company.
Repeatable process
The next business request has a known path, making the whole operation faster and less fragile.
Client / partner case study
A mechanic should not have to become a software company.
Bacon Ag Repair is useful as a case study because the work is practical: clear service pages, request forms, a parts-finder workflow, and updates that support the shop without pulling Doug Bacon away from repair work.
Ownership stays clear
Bacon Ag Repair is owned by Doug Bacon. Ten Thirty Two supports the digital infrastructure and workflow implementation; it does not own Bacon Ag Repair.
What Ten Thirty Two provides
Practical infrastructure, not hype.
Website deployment automation
Static sites, deployment workflows, update paths, and predictable publishing support.
AI-assisted content generation
Drafts, structured pages, descriptions, posts, and owner-reviewed publishing material.
Supplier/catalog workflow support
Request forms, parts lists, intake templates, and supplier-review workflows for businesses that sell or source products.
Shopify or commerce preparation
Product structure, order flow planning, quote-first workflows, and commerce-ready site organization.
SEO-ready static pages
Clean titles, descriptions, internal links, schema where useful, sitemaps, and search-friendly page structure.
Social media draft generation
Reusable drafts from real business activity, product updates, videos, lessons, and service examples.
Azure Static Web App deployment
Fast static hosting patterns with GitHub-based deployment and lightweight public infrastructure.
GitHub/Codex workflow setup
Source-controlled working systems for making, reviewing, and deploying updates with AI assistance.
Business process automation
Repeatable workflows for requests, emails, forms, publishing, catalog prep, and operational follow-through.
Client ownership transparency
Supported does not mean owned.
Ten Thirty Two may build, support, or automate digital infrastructure for outside businesses. Client businesses remain independently owned. Bacon Ag Repair is owned by Doug Bacon and is shown here as a supported client/partner implementation. J1S Contracting is independently owned and appears as a customer implementation supported with site design, secure request packets, GitHub source control, and Azure deployment workflow.
Contact
Bring the next business request.
Michael Hurst
Ten Thirty Two
michaelshawnhurst@gmail.com
LinkedIn profile