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Knowing When a Tool Is Not Good Enough Print

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Recognising the limit.

THE SIGNS

Output requires as much editing as writing it yourself Frequent errors you have to catch Inconsistent results on the same task It cannot handle your domain vocabulary It confidently answers things it cannot know

BEFORE BLAMING THE TOOL

Check your prompting. Most disappointing output comes from insufficient context.

Try providing more context, an example of what you want, and a clearer instruction.

IF THAT DOES NOT HELP

Try a more capable model. The difference between tiers is real.

IF THAT DOES NOT HELP

The task may not suit AI.

WHICH TASKS DO NOT

Anything requiring precise calculation Anything requiring current specialist knowledge Anything requiring genuine reasoning about novel situations Anything where you cannot verify the output

WHAT TO DO

Stop using it for that task. Continue for the tasks where it works.

Partial adoption is a legitimate outcome.

THE HONEST POSITION

Not every task benefits. Forcing it wastes time.


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