When the cheapest AI tool creates expensive review work, another broad rewrite or another batch of output may leave the underlying problem intact. Diagnose the relevant failure before changing the whole process.
Find the likely cause
Only subscription price is counted.
Treat this as an explanation to verify against the actual work. Look at the input, the relevant decision, and the final result together. If the evidence does not support this diagnosis, investigate the mismatch before applying a convenient but unrelated fix.
Make the targeted correction
Include correction, integration, and oversight time in the comparison.
A content tool should be evaluated on representative work, total operating effort, and the constraints of the actual team.
Check that the repair worked
Estimate cost per accepted deliverable rather than per generated draft.
Repeat the check on the final version that the reader or customer will encounter. An approved draft, a preview, and a published result can differ; the acceptance decision should concern the version people actually use.
Prevent the next related failure
A separate issue to watch for is this: tool selection depends on one lucky output. Repeat a small set of representative tasks.
Monitor the useful outcome
Track accepted output per unit of total effort, along with failure modes and workflow fit.
Keep a short record of the original symptom, the evidence behind the diagnosis, and the result of the acceptance check. That record makes the solution reusable when the same condition appears again, without assuming that every superficially similar problem has the same cause.