RTM Class FAQs

Question 1

What types of AI-generated content can RTM Class store?

Accepted Answer

RTM Class is specifically optimized to store structured AI outputs for Multiple Choice Questions (MCQs), Essays, and Summaries, each with predefined content schemas validated by Zod.

Question 2

What is the core technology stack used by RTM Class?

Accepted Answer

RTM Class is built on a modern stack including Node.js, NestJS 11, Fastify as the HTTP server, PostgreSQL for data storage via Prisma ORM, and Zod for robust data validation.

Question 3

What is RTM Class?

Accepted Answer

RTM Class is a NestJS/Fastify server API designed to robustly store AI-generated content like MCQs, essays, and summaries into a PostgreSQL database, while also managing and updating associated AI job statuses.

Question 4

How does RTM Class ensure data integrity and reliability?

Accepted Answer

It ensures data integrity through strict payload validation using Zod schemas, provides idempotent write behavior for existing records, and updates AI job statuses (succeeded/failed) upon output persistence.

Question 5

Does RTM Class support real-time communication for AI job updates?

Accepted Answer

Yes, RTM Class is configured to support Streamable HTTP and Server-Sent Events (SSE) transports, enabling flexible communication for potentially real-time updates or long-polling scenarios.

RTM Class

RTM Class

Key Features

Use Cases

Key Features

Use Cases