Will Your AI Agent Repeat Its Success?

IBM Research published a piece arguing that an AI agent passing a task once is not proof it can be trusted. The team introduced ALTK Evolve, a tool that checks whether an agent repeats its success when the same task is run several times in a row.

Most agents run on large language models, which are not fully deterministic by nature: the same request can trigger different steps and different outcomes. Standard benchmarks usually measure a single pass rate, and that is not enough — an agent can get lucky in a demo yet fail regularly in production. Evolve reruns a task multiple times and shows developers exactly where an agent's consistency breaks down before it ever touches real workflows.

Check how the AI agents and scripts already running in your company were tested: one successful demo run doesn't mean the process holds up every single day. Before letting an agent close the books, approve an invoice, or answer a client, rerun the same scenario a few times and compare the results. Regulated processes and approval routes in 1Cifer keep a history of every run, so it's easy to see whether an agent performs consistently or just got lucky once.