Niraj ChaurasiyaBuilding systems under uncertainty

Now

What I ambuilding, studying, and questioning now.

This page records my present direction. Unlike the About page, it is expected to change as projects, questions, priorities, and understanding evolve.

Active focus

The systems receiving attention now

Current questions

Questions guiding the present work

01

What exactly counts as behavior in a digital learning environment?

02

Why can the same behavioral trace result from different hidden causes?

03

How should learning evidence differ across conceptual, procedural, and physical tasks?

04

When is understanding sufficient to move from analysis into construction?

05

How can a public website represent evolving work without making unfinished ideas appear final?

Working rhythm

A loose structure for protecting deep work

Monday–Wednesday

TechShortsApp

Research, reading, ranking-system reasoning, and Paper 3 development.

Thursday–Saturday

Robotic hand and TechXEng

SolidWorks, mechanical design, robotics foundations, experimentation, and documentation.

Sunday

GlobalBriz and public work

Platform development, content, website maintenance, and connecting the broader body of work.

Daily

Reading and reflection

Three parallel books, research notes, and questions that may influence the systems being built.

Currently reading

Books shaping the questions

01

Thinking, Fast and Slow

Daniel Kahneman

Studying judgment, cognitive bias, intuition, and the limits of human reasoning.
02

As a Man Thinketh

James Allen

Reflecting on thought, character, responsibility, and internal discipline.
03

Leonardo da Vinci

Walter Isaacson

Studying curiosity, observation, cross-domain thinking, and the relationship between art and engineering.

Current uncertainty

The unresolved problem at the center

Still investigating

How should context enter an evidence model?

The same trace may mean different things across domains, learners, tasks, interfaces, and moments. The current challenge is determining which contextual variables are necessary without creating a model that becomes fragmented or impossible to validate.

Active commitments

Work that should not disappear beneath new ideas

Latest public output

Essay

The Illusion of Learning

Attention, familiarity, completion, and fluency can feel like learning without necessarily demonstrating that capability changed.
Read the latest piece
Current framework versions
Building systems under uncertainty

The direction is stable. The path remains revisable.

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