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Test a new AI model on your own work before you switch

Launch-day benchmark charts show how a model scores on someone else's tests, which may say little about your invoices, captions, or client emails. In a guide flagged by The Neuron, developer Flavio Copes recommends building a small test of 10 to 20 real tasks with known right answers and running each through both models several times. He suggests reading every failure, using a second AI with a short rubric to grade open-ended work, and comparing cost per task instead of price per token, the small chunk of text AI services bill by.

For
Creatives and small business owners who already use an AI tool and are weighing whether a newer or pricier model is worth paying for or switching to.
Cost
The provider does not state a cost for reading the guide. Running the test itself uses whatever AI services you choose, at those services' own rates.
Access
A published online article at flaviocopes.com, surfaced in The Neuron newsletter on October 5, 2026. No sign-up or eligibility conditions are described in the listing. The method assumes access to both the current AI tool and the one being considered.

Your movePick 10 to 20 real tasks from your own work that have known good answers, run them through your current AI tool and the one you are considering a few times each, then compare the results and what each task cost.

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