Optimizing LLM Performance for Academic Writing with Oxlo.ai

Academic writing with large language models is fundamentally a long-context discipline. A single research workflow can involve ingesting a 30-page PDF, iterating across a 5,000-word draft, and cross-referencing a bibliography that itself exceeds most standard context windows. On token-based inference platforms, this architecture is expensive by design. Every additional paragraph and every uploaded paper incrementally raises cost. Oxlo.ai approaches this differently. As a developer-first…