Imagine a repair business. An AI assistant reads a morning appointment and prepares a service summary. Meanwhile, a dispatcher moves that appointment to the afternoon. Writing back the entire old copy could erase that change. This is a hypothetical example.

Read the content and its server-provided version token together. Keep the original snapshot and identify the fields you intend to change. The token is not a number for the model to guess, and a local timestamp is not a substitute.

An integration with conditional updates can ask the server to check that version at the moment of writing. HTTP’s If Match is one mechanism. Checking first and saving unconditionally later still leaves room for another edit.

When a conflict appears, do not remove the condition and retry. Different APIs may report conflicts differently. Read the contract instead of treating every conflict as a temporary network failure.

Read the current record. Compare the original, the proposed change, and the latest state. If both writers changed the same field, ask its business owner to decide. Even different fields may have business dependencies.

A matching version does not grant permission or prove that content is correct. Keep those checks separate. A wildcard condition checks existence, not the exact revision you previously read.

Rehearse with two windows. Read in one, change and save in the other, then submit the stale update. Verify that the conflict is blocked and the newer edit remains. These are proposed tests, not reported results.

Ask whether your connector returns versions, enforces conditions at the server, exposes conflicts, and supports narrow updates. Without dependable protection, keep suggestion-only mode. Completion means confirming the intended change without erasing someone else’s work.