Batch Cover Letter Generation With Session Persistence

Unique: Implements session-scoped context persistence to avoid re-parsing resume for each letter, reducing latency and improving UX for batch applications. The architecture likely uses in-memory caching or temporary session storage to maintain extracted resume data across multiple generation requests within a single user session.

vs others: Faster than ChatGPT for batch applications because it caches resume context in session memory rather than requiring users to paste the same resume content into each new prompt