Martin AI Labs

Martin AI Labs · Metro Detroit

Practical AI, set up properly for your home or small business.

Working AI setups, useful automations and hands-on help, built and tested here first. Local where that makes sense, cloud services only when you choose them, and a person approving anything that matters.

  • Built around your workPractical setups tailored to the tasks you want help with.
  • You choose where data goesOn your own machine, an approved cloud service, or a mix. Explained before anything is set up.
  • Small, scoped startsOne genuine task first, tested with you, then handed over with notes.

AI setups, creative production and practical experiments.

Our own builds, and the kinds of projects we can explore together.

  1. Working lab buildIn regular use, hands-on upkeep

    Private AI setups

    AI models running on dedicated hardware, with a familiar, sign-in-protected chat interface. Our working setup keeps access private and leaves cloud connectors, web search and telemetry switched off.

    A small guard in front of the models takes one request at a time, so chat doesn't collide with other work running on the same machine.

    Approach
    Running capable models on hardware you own, with a familiar chat window and clear access rules.
  2. Creative productionCustom projects, scoped together

    Custom video and audio production

    Custom video, narration, music and sound for personal or small-business projects. We can help shape the idea, choose the right tools, and bring generated or supplied material together through editing.

    The style, source material, usage rights and final deliverables are agreed before production begins.

    Production workflow

    1. 1BriefIdea, style references, length and where it will be used.
    2. 2Draft passRough voiceover or music sketch, and a first visual/edit pass to agree direction.
    3. 3RefineRevisions against your feedback: pacing, wording, mix.
    4. 4DeliverFinal files in the agreed formats, with usage rights confirmed.
    Approach
    Short-form video, explainers, voiceover and audio-led projects, tailored to the brief. Scope and feasibility are agreed first.
  3. PrototypeIn development

    Personal voice assistants

    A push-to-talk assistant designed to work across rooms and devices. A central system handles requests, while lightweight voice interfaces provide access from a desktop or a small home device.

    Built for
    How a household can share one assistant from several rooms and devices.
  4. Research prototypePaper trading only

    Trading research and simulation

    A stock and crypto research setup combining market-data monitoring, analyst summaries, forecasting experiments and paper-trading records — testing assumptions and measuring outcomes.

    Research and simulation only, kept separate from real-money execution. Not investment advice, and not a live trading service.

    Research workflow

    1. Market dataPrices and public research pulled in on a schedule.
    2. Analyst summaryA written read of what changed and why.
    3. Independent checkA separate pass verifies the numbers before anything is recorded.
    4. Paper trade recordLogged as simulation only — no real money moves.
    Approach
    Data, research tools and independent checks for a disciplined testing process.
  5. Product in development

    WorkForce One

    Build your AI team around your business. Start with the Setup Agent, then choose the employees and connections you need.

    It's designed local-first, with any outside service switched on case by case.

    Your setup
    Where the home and consulting work is heading: a repeatable, approval-based setup for a business.

    Interactive demo · sample team and activity.

    WorkForce One — desktop concept (sample)

    Sample team (6)

    Quinn Research assistant
    Spark Competitor research
    Maya Social drafts
    Rex Contract review
    Atlas Market report
    Nina Bookkeeping
    Quinn finished a market summary.
    Spark is researching competitor pricing
    Maya drafted 3 social posts for review.
    Rex is reviewing an NDA template.
    Atlas generated a market-size illustration.
    Nina reconciled a month of expenses.
    12tasks today
    6workers active
    WorkForce One Sample team · 6 workers
    📅 Scheduler

    Managing 23 appointments today.

    Tasks today16 / 18
    💰 Bookkeeper

    3 invoices drafted, awaiting your review.

    Amount tracked$1,240
    📞 Receptionist

    On a call with a new inquiry.

    Calls handled11 today

Useful help around the house.

Everyday jobs where a well set-up assistant saves time, running on a computer you own or a service you pick.

Ways we can help. Examples of what we can explore together.

  • Find things in your own paperwork

    Ask questions about the manuals, bills, warranties and school forms in folders you choose, and get pointed to the right page.

  • Draft the family admin

    First drafts of replies, lists and letters that you read and edit before anything is sent.

  • Research, summarised

    Compare options for a purchase, a repair or a trip, with a link back to where each point came from.

  • Reminders you approve

    Suggested reminders and to-dos that wait for a yes before they're added or shared.

  • Connect your smart home

    Bring compatible lights, thermostats, cameras, locks, alarms and other IoT devices into one connected setup. You choose which devices to connect and how your assistant can control them.

  • Routines that fit your life

    Coordinate your devices with voice commands, schedules and custom automations—from a morning routine to leaving the house or settling in for the night.

Less busywork for a small team.

AI assistants and custom dashboards built around your business, your team and the tools you already use.

Example uses. Illustrative examples of what a scoped pilot could cover.

  • Replies and estimates from your templates

    Drafts built from your own wording and price sheets, reviewed by someone before they go out.

  • Answers from your own documents

    Quick lookups across procedures, product manuals and internal notes you've chosen to include.

  • Custom dashboards

    Bring sales, projects, operations and key metrics into a clear view built around your business, with tailored reports and weekly summaries that help your team see what needs attention.

  • Follow-ups with an approval step

    Suggested follow-ups and reminders that ask before sending or changing anything.

How it's meant to work: the assistant drafts and prepares; your people decide and send. It's there to take on defined, repetitive work, not to replace anyone.

Hands-on help, one real task at a time.

Based in Metro Detroit. Whether we meet in person or work remotely, and the scope, timing and cost, are agreed in conversation before any work starts.

  1. Pick one real task

    We talk through a piece of work that eats your time, and whether AI genuinely helps with it.

  2. Choose the setup

    A computer you already own or a dedicated one, local models or an approved cloud service, and exactly which accounts it may touch.

  3. Build a small pilot

    Set up and test that one task on your equipment, with approval steps wherever something is sent or changed.

  4. Train and hand over

    A walkthrough, written notes, and how to adjust or switch it off yourself.

Your choices, explained plainly

Local-first is a preference, not a promise that nothing ever leaves the building. Before setup you'll know which parts run where.

Local and cloud options

Your deviceModels and documents stay put
Approved cloud serviceOnly if you choose it
You approveSending, deleting, paying or changing accounts waits for a yes
On your own machine
Models and documents stay on a computer you own. Usually more private, sometimes slower or less capable.
With a cloud AI service
Only if you choose it. You'll know which service, what it would see, and how to turn it off.
Approval before action
Sending, deleting, paying or changing accounts waits for a person to say yes.

About Martin AI Labs.

Martin AI Labs is Chris Martin's studio in Metro Detroit. Chris is an engineer who builds and runs these systems himself first; the projects above are his own builds.

The aim is simple: help households and small businesses set up the parts of AI that genuinely help, explain the choices plainly, and leave you in control of them.

Get in touch

hello@martinlabs.com

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