A finding in Exeges becomes part of the corpus. Exeges records what your organization knows as durable annotations, each anchored to the exact passage it describes, the way latitude and longitude anchor a point to the map. An extraction filed in a separate store can’t defend itself; an annotation can. It lives on the document, points at the text that proves it, and holds its position as the corpus grows and changes around it.

The record itself is a set of plain files: an open columnar format in your own object storage. If we disappeared tomorrow, you could read everything your team ever established with a laptop.

Three kinds of authors. One layer.⌗

Deterministic passes flag whatever you need flagged. Every citation, every mention of a name, every dollar figure, every image — anything that can be identified mechanically is annotated across the whole corpus at once. This creates the scaffolding the other authors build on.

AI agents file claims, and every claim must survive verification. An agent’s finding is checked against the source excerpt it cites before it can enter the record. Quote text that isn’t there, and the whole write is rejected.

People adjudicate and extend. Analysts write notes with typed stances — support, dispute, question, validate — anchored like everything else, including to other annotations. Disagreement isn’t a comment thread; it’s part of the record.

What a seeded corpus unlocks⌗

See what the record holds. Every annotation family is counted and mapped: where amendments concentrate, which sections carry budget language, what has been examined and what remains untouched. A corpus stops being a pile of documents and becomes an accounted-for structure.

Ask for the set — and get the proof. “Every section that adds an amendment and rescinds funding.” The answer is a proven set, not a relevance ranking that a typical RAG would generate: which conditions matched, how many sections, how many occurrences — selected by annotation membership, ordered by document order.

Ask in plain language. “How does this law affect workers’ tips?” Answers come back anchored: sections opened in place in the annotated corpus, with the amendments, budget references, and prior findings already visible on the passage the answer landed on. The follow-up question is a click, not another search.

When a source changes, the loop runs. A new version lands, every difference is annotated on arrival, watched sections dispatch an agent to investigate — and what survives verification joins the record. The loop from the front page, running on this layer.

First public demos are running summer 2026. Get in touch to see one.