A centralized academic management dashboard co-architected with AI, featuring dynamic timeline triage, markdown note parsing, and JSONB cloud synchronization.
Academic workflows are frequently fragmented across disparate syllabi, calendars, and note-taking silos. The objective was to engineer a singular, high-performance interface to unify this experience. By utilizing AI-assisted development, I focused heavily on data architecture and user experience, delegating the boilerplate generation to the AI.
The core challenge was orchestrating the AI to model highly relational academic data efficiently, avoiding expensive multi-table joins in PostgreSQL.
Constructed with Next.js 14 utilizing the App Router, I served as the primary architect, directing the AI to implement a fluid, desktop-class user experience backed by a unique document-oriented data model.
jsonb datatype through Drizzle ORM. The complete academic hierarchy is encapsulated as a single JSON document, radically reducing read/write latency.marked library with a custom AST Renderer, prompting the AI to aggressively sanitize outputs via DOMPurify to guarantee strict protection against XSS vulnerabilities.Key Engineering Takeaway
"Collaborating with AI allowed me to boldly experiment with a JSONB document-oriented schema within a traditional SQL database. The AI seamlessly translated this architectural vision into reality, resulting in instantaneous client-side interactions paired with transparent cloud persistence."
Paced delivers a frictionless, real-time experience yielding zero perceptible load times, proving that modern full-stack architecture coupled with AI orchestration can produce production-grade platforms at incredible speed.