AI database agents should not have only two modes: answer fail Real workflows have...
AI database agents should not have only two modes:
answer
fail
Real workflows have uncertainty.
A metric definition is ambiguous. A tenant filter is missing. A result is partial. A query is safe to prepare but not safe to execute. The model has enough evidence to suggest an answer, but not enough authority to act.
Approval queues turn human-in-the-loop AI from a button into durable runtime state, with policy, checkpoints, ownership, traces,…
The demo is easy. Connect a model to a database. Ask a natural-language question. Get an...
AI agents now produce work — code, support replies, claims decisions, research memos, documents —...
A practical eval matrix for agentic ERP teams that need auditability, permissions, and safe human handoffs before autonomous…
A review-card and stop-condition framework for evaluating AI coding tasks before consequential action.
Every agent product eventually has the same conversation: who is allowed to click "yes"? The...
