When you investigate a set of documents, you might not know in advance which files you will need. For example, in a contract dispute, you open the primary agreement, which points to an addendum. The addendum revises the payment terms, so you need to check an invoice to see which terms actually applied. The set of required files grows as you read. An AI agent can work like a human analyst. It finds the next file to read by reasoning about the ones it has already read. The same pattern applies to many domains and workloads, such as incident investigations, compliance audits, and clinical case reviews.
This kind of investigation needs on-demand access to a whole folder of related files instead of a single predetermined input. The usual approach connects stages with object downloads and uploads. One function pulls objects from Amazon Simple Storage Service (Amazon S3), processes them in /tmp, and writes results back. The next stage repeats the cycle. Every hand-off adds…