Everything you need,in one place.
Explore Raycaster's library of case studies, guides, and insights — organized for clarity and built to help your team move faster.
MAY 18, 2026
What we learned building document agents
2025 brought us the new idiom for building AI: give it tools to operate a computer. Capability is no longer the hard part — the translation layer between the agent's workspace and the user's files of record is. Here's what we learned building that layer.
APR 9, 2026
Beating Frontier Models on OfficeQA Pro at 10x Lower Cost
OfficeQA Pro is a serious grounded-reasoning stress test: search a massive Treasury Bulletin archive, recover the right rows after restatements, run real analysis, and pass a deterministic grader. In the paper's human study, annotators average ~35% when they search the full corpus and ~51% even when the exact PDF pages are handed to them—still harsh for work this finicky. We built the document agent we want in production and hit SOTA on their Table 4 setup with Gemini 3 Flash alone. Bigger models weren't the missing ingredient; the harness was.
MAR 24, 2026
The Illusion of the Correct Answer: Why High-Stakes Work Demands Document Engineering
Every week a new model tops the leaderboards, yet they still fail at complex knowledge work. Here is why the illusion of Pass@1 is holding agents back, and why reliability requires a version-controlled architecture of trust.
Drug development,
without document drift.
Don't miss out on Raycaster updates.
By completing this form you are signing up to receive our emailsand can unsubscribe at any time.
Products
Solutions
Resources
