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Sep 11, 2026 · technical note one ★

I'm 8. My toy company runs on AI. Here is the seven-year plan.

WRITTEN TOGETHER BY JOSEPH AND DAD · TECHNICAL SECTIONS BY DAD

The short version (for kids)

I am Joseph. I am eight. I am building an AI-powered toy lab in our house in Texas. What would you make?

That is a real question. On my website there is a thing called the Imaginator. You type a toy, like "a tiny friendly robot holding a star", and about a minute later there is a 3D model of it on the screen that our printers can make. This morning I made one. It took two tries. You can see both below.

I have a crew of AI helpers that live on a big computer called Norman. They do the boring parts. I decide what we make, and Dad says yes to anything that costs money or goes out in the Lab's name.

Dad and I also wrote a seven-year plan. It is further down, with the real numbers, so we cannot pretend later. Every two weeks there will be one of these notes about one piece of the Lab. Below is the long version.

THE LONG VERSION · FOR GROWN-UPS AND BIG KIDS

I'm 8. I'm building an AI-powered toy lab. What would you make? Not as a slogan: it is the first thing the website asks you, and it is the whole business in one line. Texas Toy Lab sells 3D-printed toys at markets around Austin (online toys are coming), and the newest thing we sell is a toy that did not exist until you described it.

The Imaginator: imagine your toy. Build it.

The Imaginator is a page where you type a sentence and get back a printable toy. Behind it, an AI draws a picture of your idea, another turns the picture into a 3D shape, and the Lab's own software checks that the shape is solid enough to print, sizes it, estimates the print time, and lets you pick colours. If you want it made, Dad gets the request and taps yes, and it goes onto the print farm. Rather than describe it, here is one from this morning, exactly as it happened.

One real example: a tiny friendly robot holding a star

The idea. "A tiny friendly robot holding a star." Seven words, typed at 6:50 in the morning before school.

First attempt: a white robot with yellow ear pods and feet, a yellow star on its head and one on its chest, hands empty
Try one: nice robot, wrong starJOB 13F669CF5F4D · 48 SECONDS
Second attempt: a yellow robot with teal ear pods holding a teal star up in its right hand
Try two: holding the starJOB B097A8E25BA6 · 90 SECONDS

What appeared on screen. Forty-eight seconds later, the first picture: a white robot with yellow ear pods, a star on its head and a star on its chest. A good robot. Not holding anything. Under it, the Lab's own report on the 3D shape it had made from that picture: watertight, 56.5 by 80 by 40 millimetres, about 156 minutes to print, one colour.

What needed changing. Two things. The star was on the robot, not in its hand, because the picture-drawing AI read "holding a star" the way a badge holds a star. And the whole toy had come out in one colour, a warm grey, because the shape-maker merged the three parts it found into one piece. I tried the colour step first and turned the whole robot yellow, which the Lab recorded as revision two of the same toy. Then I rewrote the sentence: "a tiny friendly robot holding a big star up high in one hand, star and robot as one solid piece." Ninety seconds later, try two: a yellow robot with a teal star held up in its right hand. Watertight, 65.5 by 80 by 36.6 millimetres, 131 minutes to print, still one colour, which is fine for a first print.

what the Lab's checker said about try two · the real reply, trimmed
{
  "prompt": "a tiny friendly robot holding a big star up high in one hand, star and robot as one solid piece",
  "status": "done",
  "watertight": true,          # no holes: a printer can slice it
  "size_mm": [65.5, 80, 36.6],
  "print_estimate_min": 131,
  "slots_merged": 3,            # three parts became one piece, so one colour
  "revision_colors": ["#CD9924"],
  "state": "preview",
  "approved_revision": null     # nothing prints until an adult approves a revision
}

The print. At 6:58 I pressed "Print it". That does not start a printer. It puts the toy in the queue and sends Dad the request; a toy only prints after a grown-up approves the exact revision. Dad's tap is pending as I write this, the printer will take a little over two hours, and the finished robot, photographed, is in note two on September 24. If it comes out wrong, that goes in the note too.

Dad's note: what that example shows about the business

The whole company is in those two tries. A customer describes a toy, a chain of models turns words into a solid shape in under two minutes, the Lab's own code refuses anything it cannot print safely, a human approves the exact version before plastic is spent, and the print farm does the rest overnight. Everything else in these notes is the machinery that makes those two minutes reliable.

Joseph and the AI

Joseph, eight, leaning into a new 3D printer with a pair of snips, fitting the filament tube, packaging still on the floor
Fitting up a new printer. The Lab grows one box at a time.

Most of the Lab's daily work is done by a crew of AI agents on a rack of computers in our house: one for the website, one for social posts, one for markets, one for the print farm, one for legal, one that keeps the money honest, a boss agent that reads the plan every morning, and an outside second opinion, a Grok Bot from xAI, whose only job is to poke holes in the plan. They write, schedule, watch the printers, answer texts, and file everything they do in a log that cannot be quietly edited.

Who approves what. There are two kinds of permission, and the difference matters. Anything new, anything with money in it, anything that makes a promise to a customer, a partner, the press or a school gets an individual yes: a card on Dad's phone, tapped one at a time. A small list of routine actions runs under rules Dad approved once, in writing, with a short window in which he can still pull any single item: a social post from the queue he already approved, a text reply that only repeats facts from this website, a market-day reminder to someone who texted MARKET to ask for it. Every routine item is still recorded, and the list of rules is reviewed every Sunday. Nothing outside that list goes out on its own. The crew does the digging and the drafting. I still do the deciding, and Dad does the money and the law.

How the Lab is wired up

TEXAS TOY LAB · how it is wired (no addresses, on purpose) the print farm (Bambu Lab) P2SP2SP2SP2SP2SP2SH2SH2CA1 mini 9 printers, own Wi-Fi status + jobs Norman (the rack) ctl-01 · a used Dell PowerEdgethe AI crew, the console, printer feed Spark 1Imaginator, 3DSpark 2the big modelSpark 3vision, spareSpark 4fast brain, Buddy 4 x NVIDIA DGX Spark, 128 GB eachthe models run here, in the house own network; the internet is never let in dials OUT to a small relay on the internet what people touch the website + Imaginator the console on Dad's phone the text line (512) 399-2625 Buddy, the robot the loop idea (Joseph, or a customer in the Imaginator) → a file the printer accepts → a plate on the farm → a task card when it finishes → checked, packed, sold at a market or shipped → the money and the hours logged → the crew reports, Dad taps yes or no → the plan gets a little more true, or a little more wrong, and we say which sheet 1 of 13 · rev. Sep 11, 2026
the blueprint, coffee stains included. The nodes have names; their addresses stay in the house.

The print farm is nine Bambu Lab printers on a steel shelf: six P2S machines for everyday volume with four colours each, an H2S for big and shiny prints, an H2C that swaps its own hotends, and the A1 mini that started it all. They live on their own Wi-Fi and their own slice of the network, report every layer to Norman, and a finished print is not a finished job until a human has taken the plate off and counted the pieces. Norman is a rack in a closet: a used Dell PowerEdge control node where the crew lives, and four NVIDIA DGX Spark computers, each the size of a hardback, each with a Grace Blackwell chip and 128 GB of memory shared between CPU and GPU (NVIDIA quotes up to one petaflop of AI maths each). Between them they run a 120-billion-parameter open model, a fast 30-billion one, a vision model, the Imaginator's picture and 3D models, and Buddy's ears and voice.

What leaves the house, exactly. Claims about privacy should be specific, so here is the list. Stays on the rack: everything a child says to Buddy, every Imaginator prompt and model, every draft the crew writes, the printer feed. Leaves the house, because it has to: orders and payments go through Shopify; texts to and from (512) 399-2625 go through Quo, our phone provider; email goes through Resend; the website itself runs on Vercel; and a request from the public internet reaches the rack only through our own small relay, which the rack dials out to. Leaves the house by choice: the Grok Bot review, an outside AI service that reads our plan documents and insurance quotes, never a customer's details and never anything a child said. There is also a cloud-voice option for Buddy that we tested, measured as slower than our own rack, and left switched off. If any of this changes, the change goes in a note.

Dad's note: why we run it in the house

Three reasons, in order. Privacy: the two things we care most about, a child's voice and a customer's phone number, never sit in a data centre we do not control. Learning: you cannot learn what a chip, a model or a network really does from a rented endpoint; you learn it by running one, breaking it and putting it back. Speed: a model that lives in memory a few metres from the robot answers in about a second and a half. Cost is not on the list; we have not done the comparison properly, and I will not claim it until we have.

The plan, as evidence

None of the above is the point on its own. The point is a business that a kid can run and grow, and we wanted a plan we could be wrong about, not a wish. There is a spreadsheet with seven years in it and a file the crew reads every morning. The numbers below are copied from those two files.

North star$1,000,000 in bankable and business assets by the time I am fifteen (year seven, 2032 to 2033), from a real toy business I run, printed at home, honest about what is my design and what is licensed, safe for children, with my parents handling money and law.
Year oneSep 2026 to Aug 2027: $38,000 in sales. Markets and fairs $24,400, online $6,600, parties and custom orders $7,000.
The gateYear three: about $250,800 in sales at a 53% margin. Reaching it supports the plan; it does not make the later years automatic. It is where we find out whether the model was right.
Every yearI am paid a real wage for logged hours ($7,500 in year one), and it goes into a retirement account.
Nevera claim on this site that is not true; marketing to children; a toy sold before its safety paperwork exists; a spend without a grown-up's yes.

The assumptions, so you can argue with them. "EBITDA" here is profit before tax and interest, after the running costs of the business including a vehicle allowance; "margin" is that profit as a share of sales. "Business value" is EBITDA times a multiple, and the multiple is illustrative: small owner-run businesses often sell for less, so the model also shows a version that counts only half of it.

BearBase (the plan)Bull
Margin, years 4 to 745%53%56%
Value multiple1.5 x EBITDA2.5 x3 x
Year 7 sales$304k$475k$630k
Year 7 savings (bankable)$629k$904k$1.12M
Year 7 total incl. business$823k$1.51M (or $1.18M counting half the business)$2.15M
$1M by 15?noyes, only if the business countsyes, on savings alone

So: in the downside case the plan misses, in the base case it needs the business to be worth something, and only in the upside case do the savings alone get there. Year three margin and the multiple are the two assumptions most likely to break, and the workbook says so on its first tab.

docs/agents/GOALS.yaml · what the AI crew reads every morning (trimmed)
north_star:
  statement: >
    Joseph Jr. reaches $1,000,000 in bankable and business assets by age 15
    (fiscal Y7, 2032/33) through a real toy business he runs, printed at home,
    honest about what is his design and what is licensed, safe for children,
    with his parents handling money and law.
  proof_points:
    - Y3 is the hinge: revenue 250,800 at 53% EBITDA margin makes or breaks the model

year_1:                      # Sep 2026 to Aug 2027
  revenue_total: 38000
  non_negotiables:
    - every customer-facing claim is true (kid-run, printed by a kid; licensed designs credited)
    - COPPA: no marketing to children, grown-up consent at every capture point
    - no new recurring spend without Joseph's approval
the plan's seven years, base case: sales per year (bars) and what it adds up to (line) Y1 $38kY2 $120kY3 $251kY4 $321kY5 $385kY6 $431kY7 $475k $1,000,000 (assets) Y3: the gate ($315k) Y5 $695k Y7 $1.18M
the line counts savings plus half the business value; the first year is the small bar on the left

Why we are doing this

The learning goals

The toys and the money are real, but the point of the Lab is what it teaches. Seven things, on purpose:

  1. EntrepreneurshipFind a thing people pay for, price it so the maths works, sell it, keep honest books.
  2. AI skillsWork with AI as a crew: a clear brief, a checked answer, a job with a rule, and the veto kept.
  3. Building physical productsDesign, print, test, break, fix, pack, ship. A toy has to survive a four-year-old.
  4. Critical thinkingEvery claim true, every number sourced, and a plan you can be wrong about. The second opinion exists to disagree.
  5. High agency and executionNobody is coming to do it for you. Decide, do it today, finish the run, fix what broke.
  6. How the machines actually workChips, memory, networks, models, printers and the code between them, learned by running and breaking them.
  7. Skills for the world he will work inDirecting autonomous systems, judging their output, owning the result, explaining it plainly. He is eight.

My school does academics in the morning and leaves afternoons for "practical application" and "real-world skills", in its own words. The Lab is my afternoon. Where this list goes further than school, on entrepreneurship and AI, that is the Lab's own addition, not a promise my school makes. Progress is measured like the business: what shipped, what sold, what broke, what I can now do alone. Reported in note thirteen.

School teaches me the mornings. The Lab is where I find out if it stuck.

The thirteen notes

One every second Thursday at seven in the morning (this first one is a Friday, because we could not wait), each with a short version for kids on top and the real thing underneath: numbers, sketches, a real photo and the actual code.

A steel shelving unit holding six enclosed 3D printers glowing in a dark room, small toys on top of each
The farm at nightNOTE 5 · NOV 5
Joseph reaching into the open H2C printer to seat a hotend, the on-screen guide showing the step
Seating a hotend in the H2CNOTE 5 · NOV 5
The Lab's rack: a screen of live graphs on top, network gear and servers below
Norman, the rackNOTE 7 · DEC 3
  1. 01I'm 8. My toy company runs on AI. Here is the seven-year plan: this noteSep 11
  2. 02How the Imaginator turns a sentence into a toy, with the robot from this note, printedSep 24
  3. 03The second opinion: how we use a Grok Bot to argue with our own planOct 8
  4. 04Buddy gets a body: setting up a Reachy Mini robotOct 22
  5. 05Setting up a print farm of Bambu Lab printersNov 5
  6. 06The software we built to run the farmNov 19
  7. 07Norman, the computer that runs the LabDec 3
  8. 08Four little supercomputers: the DGX SparksDec 17
  9. holiday break
  10. 09The harness: how a crew of AI agents runs a toy business without running awayJan 7
  11. 10The Lab's phone line is a robot with a managerJan 21
  12. 11The control room in my pocket: the Lab consoleFeb 4
  13. 12Ears and a voice: speech in the LabFeb 18
  14. 13What we watch, and the six-month review against the planMar 4

Note thirteen is a six-month review, not the year-one scorecard; year one ends in August 2027, and that scorecard comes in September 2027. If you only read one, read that one.

FOR PRESS AND PARTNERS

Texas Toy Lab is a 3D-printed toy business run by Joseph Crabtree, 8, from Leander, Texas, with his father handling money and law. Customers can describe a toy in a sentence and have it modelled, checked and printed on the family's own print farm. The Lab is operated day to day by a crew of AI agents on a rack in the family home: anything new or with money in it needs an individual, recorded yes from a parent; a short published list of routine actions runs under rules approved once, with a window to pull any item. This series of thirteen technical Lab Notes opens the machinery up, with real numbers and real code, every second Thursday.

"A toy business is the best excuse I have ever found for learning that, because every mistake costs a real dragon." Joseph, 8

Mentioned in this note: Bambu Lab, NVIDIA, Dell and xAI (products we bought at the normal price; none is involved in the Lab). Photos in this note are free to use with the credit "Texas Toy Lab". Press page: texastoylab.com/press, kit: download, contact: joseph@texastoylab.com (Dad answers).

Howdy. See you at the next market.
Joseph ★ (and Dad)

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