AI Digests & Summaries

Many organizations produce or receive a constant stream of documents: market reports, statistics, press material — as PDFs, spreadsheets, or web pages. The problem cuts both ways. Recipients can't keep up with the reading, and the editorial team writes abstracts and categorizes everything by hand before any of it can even be published. What actually matters gets lost in the pile.

We build event-driven AI pipelines for exactly this: the moment a document is published, summaries appear automatically at several levels — per document, per report series, per subject area. A trend analysis reads each new issue against its predecessors: what's changed, what's new, what's confirmed. Readers decide for themselves how deep to go, from a three-line digest to the original document.

For the editorial team, the workflow flips. Instead of writing abstracts, they upload the document. The AI reads it and pre-fills the form fields as suggestions — writing work becomes review work. We're building exactly this kind of system right now for a film-industry trade association that keeps its members supplied with a constant flow of market data and reports.

Technically, we deliberately keep the infrastructure boring: asynchronous processing through queues, and idempotent processing steps based on content checksums. The pipeline has proven its robustness on real data — wrongly delivered file formats get detected and routed correctly instead of silently swallowed.