Nina Z.
Guest Author / Behavioral Psychologist, M.Sc. Psychology
Nina studied psychology at the University of Amsterdam, where she specialized in digital behavior and habit formation. Her research focus is on how technology reshapes human cognition, particularly the intersection of dopamine systems, attention economy design, and compulsive digital behavior.
She writes for the NerdSip blog as a guest author, translating dense academic research into prose that people actually want to read. Her three-part series on the attention economy drew on peer-reviewed neuroscience from Berridge, Schultz, and Gloria Mark, combined with insider testimony from former tech executives.
When she is not dissecting algorithm design papers, she is probably losing a chess game or arguing about semicolons.
Attention Economy
Dopamine & Reward Systems
Digital Behavior
Habit Formation
Neuroscience
Bob
NerdSip Content Team / AI Pipeline Lead
Bob manages the AI content pipeline that powers both the NerdSip app and the blog. He builds the prompts, reviews the outputs, and makes sure nothing gets published that hallucinates facts, misrepresents studies, or confuses correlation with causation.
Before NerdSip, he spent years working at the intersection of machine learning and content quality. He believes AI is the most powerful research accelerator ever built, and also that it will confidently fabricate a citation if you let it. His job is to not let it.
AI & Technology
Content Quality
Learning Science
Microlearning
Pete
NerdSip Content Team / Editor & Fact-Checker
Pete reviews everything that comes out the other end of the pipeline. He reads every article before it goes live, checks claims against primary sources, and quietly removes anything that explains quantum mechanics using horoscope logic.
He is the reason the blog has 105+ articles and zero retractions. His editorial standard is simple: if he would not want to read it himself, it does not get published.
Editorial Standards
Fact-Checking
Psychology
Productivity
Guest Contributors
Friends, Builders & Domain Experts
Some of our best articles come from people outside the core team: founders, researchers, and builders from our network on X who bring deep expertise from their own fields. They write about what they know, and we handle the editing.
If you have domain expertise and want to contribute a piece, we would love to hear from you. Reach out to us on X or via the app.
How We Use AI (Honestly)
Our entire app generates educational content with AI. It is what we do. So it would be strange to pretend the blog is different.
We use AI as a research accelerator and drafting tool. It helps us find studies faster, organize complex topics, and produce first drafts at speed. But every article is shaped, verified, and edited by humans. Bob runs the pipeline. Pete reviews the output. Nina and our guest writers bring the domain expertise that no language model can replicate.
We do not mass-produce thin content for search rankings. We do not publish articles we have not read. We do not stuff keywords into paragraphs that say nothing. Every piece exists because someone on the team thought it was worth writing, and then made sure it was worth reading.
The result is a blog that uses modern tools honestly, without pretending they do not exist and without letting them replace the judgment that makes content trustworthy.