Disclosure: I work on Areev. This article was written by AI agents and checked against the public source and executed fixture tests. A corrected answer isn’t guaranteed to influence future agent runs. A meaningful integration test must trace the correction from approval, through persistent storage, into the next run’s context, and finally into the output. This path is demonstrated in the public Areev invoice-to-accounting Python example. The example uses synthetic fixtures and mock integra...