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Practical lessons and guides that make the next decision clearer.

Explore visual AI lessons, machine learning workflows, GRE Quant diagnostics, technical interview frameworks, and AMC planning guides built from Pristone Academy's teaching and engineering practice.

01 / Start here

Foundations

Intro to Artificial Intelligence

A plain-English introduction to what AI is, how it learns, and why modern AI suddenly became practical.

/learn/intro-to-artificial-intelligence

02 / Unsupervised learning

Interactive

K-Means Clustering Explained

A visual guide to how machines find groups in unlabeled data, with an interactive clustering lab.

/learn/k-means-clustering

03 / Classification

Interactive

Logistic Regression Explained

Why a straight line makes medical mistakes on yes/no questions, and how the sigmoid fixes it — decision boundary, log loss, gradient descent, and overfitting, with two interactive labs.

/learn/logistic-regression

04 / Dimensionality

Interactive

Principal Component Analysis

The intuition behind PCA: finding the few directions that keep most of the meaning in high-dimensional data.

/learn/principal-component-analysis

05 / Transformers

Interactive

Attention Is All You Need

How self-attention lets every word look at every other word, the idea underneath modern language models.

/learn/attention-is-all-you-need

06 / AI and work

Framework

The AI Layer Shift Framework

A framework for how AI changes the economics of work layers, from implementation to judgment and accountability.

/learn/ai-layer-shift-framework

07 / Algorithms

Interactive

A* Pathfinding, Explained

How A* finds the shortest path by balancing cost so far with a guess of what's left, with an interactive grid: draw walls and terrain, switch heuristics, and race it against Dijkstra.

/learn/a-star-pathfinding

08 / Grades 6 to 8 math

Interactive

Fraction Build Lab

Five building games for fractions and integers: span a bridge by dividing fractions, approve a blueprint's volume, assemble a robot in order-of-operations order, dig a mine with integer signs, and find every floor plan with factor pairs.

/learn/fraction-build-lab

09 / Algorithms game

Interactive

Algorithm Adventure 1: Sorting Arena

Teach a cargo robot to sort: trace Bubble Sort swaps, build an Insertion Sort hand, race three sorters, design a worst-case trap, and defeat the Merge Sort boss.

/learn/algorithm-adventure-sorting-arena

10 / Algorithms game

Interactive

Algorithm Adventure 2: Search Squad

Hunt for loot in a row of lockers. Linear search versus binary search, a low-high-middle trace, a million-item race, and a number-guessing duel against a robot.

/learn/algorithm-adventure-search-squad

11 / Algorithms game

Interactive

Algorithm Adventure 3: Shortest Path Obby

Run obbies with mud, water and lava. BFS rings for fewest steps, Dijkstra by hand on a checkpoint map, then paint terrain and watch Dijkstra re-plan.

/learn/algorithm-adventure-shortest-path-obby

12 / Algorithms game

Interactive

Algorithm Adventure 4: Priority Queue Power-Up

Dijkstra keeps asking who is smallest. Answer it three ways (scan, sorted list with binary search, tournament heap) and race them on giant maps.

/learn/algorithm-adventure-priority-queue-power-up

13 / Algorithms game

Interactive

Algorithm Adventure 5: The Final Raid

The capstone: sort your loot, binary-search a leaderboard, use Dijkstra to plan the cheapest checkpoint order, then draw the speedrun.

/learn/algorithm-adventure-final-raid

14 / Algorithms game

Interactive

Algorithm Adventure Bonus: Infinity Lab

Infinity meets algorithms: why Dijkstra starts at ∞, galloping search down a hallway that never ends, Zeno's speedrun, a race to infinity, and Hilbert's Hotel.

/learn/algorithm-adventure-infinity-lab

For software engineers

Technical interview preparation

Frameworks and diagnostic tools for system design, senior-level preparation, and the performance gaps that generic problem lists do not reveal.

For ML students and engineers

Machine learning projects and evaluation

Build leakage-safe workflows, choose metrics from real decision costs, and produce results that remain defensible beyond one notebook run.

For GRE test takers

GRE Quant diagnosis and practice

Diagnose the work behind the score, separate five error classes, and choose practice that tests whether the repeated behavior is changing.

For students and parents

AMC 10 and AIME planning guides

Current contest context, diagnostic frameworks, and preparation guidance that separates content gaps from recognition, execution, and strategy.

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