Return to my storyAI Learning Product

2026

CoStudy

An AI study copilot that helps students and professionals learn with structure, context, and multi-model support.

Designed to turn AI from a chat tool into a real study workflow, combining guided learning, reasoning assistance, and model orchestration for better academic outcomes.

CoStudy is positioned as the clearest expression of Kruthik's 2026 direction: AI-first product design grounded in usable workflows and thoughtful system design.

Focus

AI-first UX

designed around learning workflows, not chat novelty

Mode

Multi-model

orchestration across study and reasoning tasks

Audience

PG, UG, professionals

built for serious learners with different goals

Architecture

System flow at a glance

The route from inputs to product surfaces, with the services and system layers that keep the workflow reliable in production.

Study Inputs
Model Routing
Reasoning Layer
Learning Context
Study Interface

Problem

Generic AI chats are not enough for serious study. Learners need context, structure, and guided flows that help them understand, revise, and apply knowledge over time.

Capabilities

AI Product DesignLearning SystemsFrontend Product SystemsModel Orchestration

Key Decisions

Workflow-first AI UX

Keeps the product focused on learning outcomes instead of generic prompting.

Tradeoff: Requires more upfront design thinking around journeys and information architecture.

Multi-model orchestration

Lets the product route tasks to the right capability instead of overloading one model.

Tradeoff: Adds complexity in evaluation, fallback behavior, and product consistency.

Challenges

  • Designing AI help that genuinely supports study instead of distracting from it.
  • Balancing flexibility with enough structure to guide learners well.
  • Creating a product that feels intelligent without feeling overwhelming.

Outcomes

  • Established a clear product thesis around guided AI-assisted learning.
  • Creates a strong future-facing flagship for the portfolio's AI product narrative.

Stack

The parts of the stack doing the real work, from product surface to infrastructure and monitoring.

React

React

Next.js

Next.js

TypeScript

TypeScript

AI orchestration

AI orchestration

LW

Learning workflows

What's Next

  • Add deeper document understanding and revision pathways.
  • Introduce measurable study loops, feedback, and progress intelligence.