Code, systems, machine learning, physics. Each idea becomes a picture you can question: you call what happens, then watch it play out. The engine that draws it, MartyGraphics, is open source.
Each stop is a real idea from a Morrowdock course. One scene description draws the picture, the numbers and the words, so they always agree. You make the call first; nothing gives the answer away.
Code Gym · two pointers
Find two numbers that add to 19, without trying every pair.
From the written lesson “Two fingers on the list” · not in the app yet
1 + 17 = 18 is too small. Which pointer moves?
What you take away: on a sorted list, each move rules one number out for good, so you need at most n − 1 checks instead of every pair.
System design · caching
At a 90% hit rate, requests average 10.9 ms. Raise it to 99%. How much faster?
From the authored caching lesson · not in the app yet · illustrative timings: 1 ms cache, 100 ms database
Make your call before you change anything.
What you take away: the average is dominated by the slow path, so the last few points of hit rate buy most of the speed.
AI Lab · covariance to PCA
Squash these points onto one line. How much of their spread can a single direction keep?
From the AI Lab course “Covariance to PCA” · draft in review · not in the app yet
Each point drops a shadow onto the line. Keep the best line you can find.
What you take away: the direction that keeps the most spread is the covariance matrix’s top eigenvector, the first principal component.
Physics · force and motion
Push a cart, predict how fast it speeds up, then release it.
Physics practice is in the private iPad beta; this full lesson is a browser demonstration
The complete lesson runs below: a worked example, a guided change you control, then a fresh problem with the answer held back until you commit. A slope lab follows, where every arrow is a numbered quantity you can question.
What is real here. These stops are browser re-creations written for this page, drawn the way MartyGraphics describes scenes. MartyGraphics is open source as an early preview (Apache-2.0, Swift); its public templates include a two-pointer array and a binary-search tree, and its own native exports show them. The courses they come from are still being written.
Where things stand
EngineMartyGraphics is open sourceEarly preview · Apache-2.0
iPad appIn private testingNo public download yet · iPhone and Mac later
PlusPlannedNot for sale · no price and no date
Physics · a complete lesson
Learn it. Work it out. Try it yourself.
One idea, three steps: a worked example, a guided change, then a fresh problem with nothing given away.
Physics · force & motion
Browser demonstration · runs on this page
Acceleration
a = F ÷ m
= 8 N ÷ 2 kg
= 4 m/s² right
On this board · ? is yours to work out
Net force
Mass
Acceleration
Distance in 1 s from rest
8 N right
2 kg
4 m/s² right
2 m right
1 · Learn the idea
Force changes motion.
Acceleration is net force divided by mass. This 2 kg cart gets an 8 N push, so it speeds up by 4 m/s every second.
Released from rest, it covers ½ · a · t² = ½ × 4 × 1² = 2 m right in 1 s. The faint outlines show where it is every quarter second.
2 · Work it out with help
Keep the mass. Change the force.
Still 2 kg. Set the net force, then release it and compare how far it gets in one second.
4 N8 N12 N
8 N ÷ 2 kg = 4 m/s² right · 2 m in 1 s
Marty’s hint
Divide the net force by the mass. Double the force and the acceleration doubles, and so does the distance covered from rest in the same time.
3 · Your turn
A fresh cart. The same idea.
A 3 kg cart has a net force of 6 N to the left. What is its acceleration?
Take your time. The release button unlocks once you’ve answered, so you can check it.
Marty’s hint · no penalty
Use net force ÷ mass. The acceleration points the same way as the net force.
Watch how far it gets in one second.
Illustrative, interactive example written for this website: not an app screenshot, a recording, or live AI. Nothing is saved or scored.
MartyGraphics · the teaching board
A picture you can question.
Every arrow is a real quantity with a number, a direction and an explanation. Predict first, then change the slope: picture, maths and words move together.
Predict first
A 4 kg block starts at rest on a 25° slope. Does it stay put or slide?
Static friction μs = 0.3, kinetic μk = 0.2, g = 9.81 m/s². The slope is the only surface it touches, and nothing else pushes or pulls on it.
W = mg = 4 kg × 9.81 m/s² = 39.2 N
N = W cos θ = 39.2 N × cos 25° = 35.6 N
W sin θ = 39.2 N × sin 25° = 16.6 N
f ≤ μs N, with μs = 0.3: holds or slides?
a = ?
Slope angle
Block mass
Make a prediction (or skip) to unlock the controls.
All 8 quantities as a table
Everything on the board · choose one to explain it
Marker#
Quantity
Value and direction
1
25°rises to the right
2
4 kgstarts at rest
3
39.2 Nstraight down
4
35.6 Nperpendicular to the surface, away from it
5
16.6 Ndown the slope (part of W)
6
35.6 Ninto the surface (part of W)
7
?after you predict
8
?after you predict
Choose a quantity
Tap an arrow on the board, or choose a row in the table. Each row and its arrow share a numbered marker.
Now explore: find the steepest angle where the block still stays put.
What is real here. A browser re-creation, in JavaScript, of the incline teaching model in MartyGraphics, Morrowdock’s native Swift graphics engine: same physics, numbered objects, step sizes and arrow colours. It does not run the Swift engine. The engine’s source also has Atwood, circular-motion, projectile, spring and third-law templates; their app placement is still being tested.
Starting small. Building with care.
Courses across the things worth learning.
Private iPad beta
Physics
Learn-first setup, explanations before guided practice, optional placement you can skip, and a saved next lesson to return to.
Submitted for private iPad testing. No public download; tester availability is unverified.
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Private beta · one lesson
Code Gym
Explore variables: watch, predict, assemble and explain, then try a fresh problem on your own. Broader coding and interview practice is coming soon.
Coming soon
Planned paths
AI Lab
Autopilot Lab
Terminal & Git
System design
Part 107
School classes
Across every path
Pencil-first thinking · in beta
Practice-exam loop · in development
Marty Home · in development
Real GitHub repos · coming soon
What each one covers
AI Lab foundations, experiments, deeper-study prep
Autopilot Lab sensing, control and decisions
Terminal & Git make the command line familiar
System design services, data and tradeoffs
Part 107 study tools, not a substitute for FAA requirements
School classes physics in the private beta; class setup later
Pencil-first thinking part of the private iPad beta
Practice-exam loop generate, try, revisit; still in development
Marty Home what to learn next; no promises of grades or jobs
Real GitHub repos projects you own; publishing is your choice
MartyGraphics is public under Apache-2.0 as an early preview. Other repositories and packages, course contributions, imports and exports are still being prepared.
The plan: a Free app with your own supported AI, and free Self-hosted server software. Both are still in development; hardware, hosting and external AI costs are separate. Plus, a hosted option, is planned. It is not for sale, and it has no price and no date.
The latest iPad build has been submitted for private testing. Tester assignment and download availability have not been verified, and joining the interest list does not grant app access. There is no public download or release date; iPhone and Mac are coming soon.
What’s in the latest private-beta build?
The submitted private beta adds one hands-on Code Gym variables lesson: watch, predict, assemble, explain, then try a fresh independent problem. Your Hub continues the exact lesson; drafts, help and reveal state are retained when you leave and return. Learn-first setup and optional placement remain. Broader tracks, Course Studio and the full generated-exam loop are still in development.
Is the lesson on this page the app?
No. The cart lesson and the slope lab are browser demonstrations written for this website. The lab re-creates the incline teaching model from MartyGraphics, the app’s native graphics engine, but it does not run the engine and is not a screenshot or recording of the app.
Is there a paid plan?
Not today. The plan is a Free app with your own supported AI and free self-hosted server software; both are still in development. Plus, a hosted option, is planned. It is not for sale: no price and no date. Plus and account sign-in are not available.
Will AI cost money?
Your chosen AI service may charge for usage. Paid AI is opt-in; supported connections are still being built. Joining the interest list is free.
Can I keep my work?
Portable courses, import and export are our direction. The planned formats are not all available today. See the portability plan.
What happens after joining?
We record your interest in future Plus and open-source updates. Email updates are not active yet. Joining is no purchase or access guarantee, and we promise no launch date. You can request deletion.
Follow along
Hear when the open-source work ships.
The interest list is on the home page. It is free to join; no access or launch date is promised. Email updates are not active yet.