Tags AI Replacing a document is harder than uploading one Paris Perlegkas 27/08/2026 The file list can look current while search, preview, and extracts still answer from yesterday.
Tags AI Building layout-assisted field extraction Paris Perlegkas 20/08/2026 Reuse the layout map already stored at index time, match each extracted value back to a page region, and return…
Tags AI Make AI answers auditable Paris Perlegkas 10/08/2026 A valid extract still isn't enough if nobody can open the page and see where each field came from.
Tags AI Building schema-first extraction with validators Paris Perlegkas 06/08/2026 Strict JSON Schema at the model boundary, optional business rules after it, and an audit trail that survives the handoff.
Tags AI Mostly-right data extraction isn’t operational data Paris Perlegkas 02/08/2026 Soft JSON from document extraction passes the demo; operational data needs a declared shape and rules you can fail.
Tags AI Building registry-based extraction for any document type Paris Perlegkas 23/07/2026 Two-level discovery and a tenant allowlist in front of lookup are how a new document type, or a new field…
Tags AI One extraction engine, any document type Paris Perlegkas 15/07/2026 A new document type should be configuration, and two customers sharing that type still need their own complete field set,…
Tags AI How a document workflow engine differs from a chat service Paris Perlegkas 08/07/2026 The moment the output contract changes from free text to validated data, state, control flow, and the API all flip,…
Tags AI Chat is not enough when the job is a process Paris Perlegkas 02/07/2026 A great chat reply still leaves the real work on your desk, and knowing where conversation stops is what separates…
Tags AI Building agentic RAG that grounds every answer Paris Perlegkas 25/06/2026 How a tool-calling loop, hybrid retrieval, and tracked citations turn a chatbot into an answer you can verify