Free public lessons
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.
02 / Unsupervised learning
Interactive
K-Means Clustering Explained
A visual guide to how machines find groups in unlabeled data, with an interactive clustering lab.
03 / Dimensionality
Interactive
Principal Component Analysis
The intuition behind PCA: finding the few directions that keep most of the meaning in high-dimensional data.
04 / Transformers
Interactive
Attention Is All You Need
How self-attention lets every word look at every other word, the idea underneath modern language models.
05 / 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.
06 / 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.
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.
System design framework
Use the CLEAR framework to scope requirements, estimate load, define interfaces, design the architecture, and reason about reliability in a system design interview.
System design mistakes
Diagnose six common system design interview failure modes, from premature architecture to vague tradeoffs, and use a focused drill to repair each one.
Senior engineer interview prep
Build a senior software engineer interview plan around four signals: coding execution, system design judgment, experience evidence, and communication.
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.
ML project roadmap
Follow an eight-step machine learning project workflow from problem framing and data review through leakage-safe validation, error analysis, deployment, and monitoring.
ML model evaluation
Evaluate classification and regression models with decision-aligned metrics, valid splits, baselines, thresholds, slice analysis, and an untouched test set.
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.
GRE Quant score plateau
Diagnose a GRE Quant score plateau by separating content, strategy, execution, interpretation, and pacing problems before adding more practice.
GRE Quant error diagnosis
Use a five-part GRE Quant error taxonomy and cold review to identify why an answer was missed and choose a repair that matches the cause.
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.
AMC 10 scoring
A parent-friendly guide to AMC 10 scoring, guessing, skipping, and what a score really says before the November 2026 exams.
AMC 10 vs AMC 12
How parents can choose between AMC 10 and AMC 12 using eligibility, content scope, timing, and the student's current contest profile.
AIME qualification
A realistic explanation of AIME qualification for parents, including changing cutoffs, percentile pressure, and what to train before the November 2026 AMC dates.
AIME answer verification
A practical AIME verification protocol for checking interpretation, derivation, arithmetic, and answer encoding without restarting every solution.
Summer prep plan
A practical summer AMC 10 prep plan for busy families, built around diagnostics, targeted repair, timed sets, and review before November 2026.
Five AMC 10 mistakes
Why strong math students still underperform on AMC 10, and how parents can spot timing, reading, guessing, and review problems early.
School to contest math
A parent-friendly explanation of how AMC-style contest math differs from school math, and how students can make the transition before November 2026.
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Personalized instruction
Not sure what to learn or practice next?
A focused diagnostic turns your current work into a prioritized plan instead of adding another generic checklist.