Tag

#AI Workflows

The Interleaving Effect: Why Studying One Topic at a Time Is Making You Worse

Blocked practice feels productive — you mass one topic, then move on. Interleaving, where you mix topics during a study session, feels slower and more confusing, yet consistently produces dramatically better performance on transfer tests. Here is why the counterintuitive method wins, and how to use AI to engineer it into any subject.

The Feynman Technique for the AI Era: Teaching AI to Catch What You Don't Understand

The reason the Feynman technique works is not that you're teaching — it's that teaching surfaces the gaps you could not see. Here is how to use AI as a patient, infinitely available interlocutor to run the loop on yourself.

12 min read

Spaced Repetition in the AI Era: Why Your Anki Deck Still Matters (But Needs an Upgrade)

Spaced repetition is the highest-ROI learning technique we have ever discovered. It is also the one most learners abandon inside a month. Here is how AI changes the math — and what the new workflow looks like in practice.

11 min read

Escaping Tutorial Hell: A Practical Framework for Learning to Code with AI

You can watch forty hours of React tutorials and still be unable to build a basic app. Here is why tutorial consumption is fundamentally different from skill acquisition — and how to use AI as a mentor instead of a better YouTube.

11 min read

The Retention Problem: How to Use AI for Active Recall Without Burning Out

Active recall works. Flashcard fatigue is real. Here is how to use AI to design retrieval practice that actually sticks — without the hundreds of Anki cards, the review avalanche, or the guilt.

11 min read

The Socratic Method in the AI Era: Why Answer-First Tools Are Hurting Your Learning

AI can answer any question in seconds — and that is exactly the problem. Here is why the tools giving you instant answers are also quietly sabotaging how much you actually learn, and a four-step protocol for flipping the dynamic.

11 min read