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StudyOS

An AI-native study workspace that turns one sentence about a semester into structured courses, assignments, planners and reading lists — ready in seconds.

Year
2026
Role
Product Engineer
Client
Harshal Vankudre
Stack
Next.js · TypeScript · Prisma · PostgreSQL · AI SDK · Clerk · Stripe
StudyOS landing page showing an AI-generated semester workspace

01 — Problem

Students often start a semester by rebuilding the same planning system across notes, calendars and spreadsheets. Generic templates still begin empty, so the setup work arrives before the actual studying can start.

The useful context already exists in a syllabus or a short description of the courses. The product needed to turn that context into editable, structured data instead of another page of generated prose.

02 — Approach

I built StudyOS as a production Next.js application: a guided prompt becomes typed courses, assignments and readings backed by Prisma and PostgreSQL, then appears immediately in a complete workspace.

The same records power table, board and calendar views. Inline edits autosave, while the built-in assistant can add or update workspace data from plain-language requests without forcing the user through menus.

The product includes authentication, billing, syllabus import, calendar feeds and full localization across ten languages, including right-to-left layout for Arabic.

StudyOS product capabilities for generation, spaced repetition, calendar sync, syllabus import and structured data
9.4sAverage workspace build
10Localized languages
3Views from one data set

03 — Result

StudyOS is live as an end-to-end SaaS product. Its public product flow demonstrates a complete workspace built in an average of 9.4 seconds, with one data set staying synchronized across three planning views.

StudyOS assistant adding a weighted midterm to a workspace from a natural-language request
Fig. 03 — A plain-language request becomes a structured database change.
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