About the Author
Jai Bhagat
Jai Bhagat is the creator of Grow in Public, a platform solving Bloom's Two Sigma Problem through AI-powered instructional workbooks.
The research is clear: 1:1 tutoring outperforms classroom learning by two standard deviations. Students with personal tutors consistently reach the 98th percentile compared to their peers. But scaling personalized instruction has always been impossible—until now.
AI changes the equation. Not by replacing teachers, but by organizing knowledge into digestible schemas that reduce cognitive load and enable self-paced mastery.
The Data-to-Wisdom Pipeline
This workbook applies Jai's instructional design methodology:
DATA → INFORMATION → KNOWLEDGE → WISDOM
↓ ↓ ↓ ↓
Raw Labeled Validated Real-World
Material Semantic Analytics Outcomes
Tags & Patterns
Data: The raw ARENA curriculum—excellent content, but overwhelming for most learners.
Information: Structured learning objects with clear objectives, prerequisite chains, and cognitive load estimates.
Knowledge: Validated through analytics—does the sequence work? Are assessments aligned with objectives?
Wisdom: Real-world application—can you actually detect sycophancy in AI systems?
Each stage has mechanisms, not just aspirations. This workbook operationalizes the chain from "here's some ML content" to "you can evaluate AI safety."
Current Projects
Grow in Public — 26+ workbooks transforming MOOCs and courses into actionable, self-paced learning experiences.
Cash is Clay — A product marketing studio helping founders shape their positioning and go-to-market strategy.
The Philosophy
Most education optimizes for coverage. We optimize for transfer.
It doesn't matter if you can define "sycophancy" on a test. It matters if you can detect it in a deployed system. It matters if you can build an evaluation that catches the next Grok before it launches.
The goal isn't knowledge for its own sake. The goal is capability that matters in the real world.
That's what this workbook is for.
Find more workbooks at grow.chaiwithjai.com