Start with a task you can check
For a simple rewrite or extraction, try one model first. For a plan with competing constraints, separate the work and have another model look for gaps.
Give the checker clear criteria. A confident answer is not evidence. Models from different providers may help expose different errors, but that is not a guarantee of better accuracy.
Technical details: Plain-English AI Help; provider API behavior, model costs and workflow controls. Test these choices on your own workload.
Compare the result, not the number of workers
Run the same task with one model and with Foreman. Compare correctness, coverage, time and provider cost against criteria you wrote before the test.
Foreman shows rejected attempts, model choices and review findings. Its scorecard comes from AI reviews in your workspace, not a human benchmark. You still decide whether the answer is good enough.
Technical details: Plain-English AI Help; provider API behavior, model costs and workflow controls. Test these choices on your own workload.