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This is the last post in my series
attempting to define quality in the age of
AI.
As I said in the first segment,
Since we all spend a lot of time
witnessing bad AI,
AI slop, my aim with this series is to
define what good AI should be.
Before I continue, if you haven't seen the
previous segments,
I suggest starting at the beginning and
then catching up.
Links are in the comments.
Okay, here's where we land. My old
definition from years ago at
a former marketing and advertising agency
was that quality creative output
is work that is fit for purpose and
elicits an emotional response that yields
action. And that held up for a long time
because the risk back then
was blandness or self indulgence.
As I said earlier, AI changes the risk
profile entirely.
So there are four new things that matter
now.
Number one, specificity instead of
genericness.
Two, a human point of view that survives
the process.
Three, judgment instead of mere approval.
And four, leverage that multiplies
expertise instead of replacing it.
So here's the updated definition.
Quality creative, AI assisted or not,
is work that is fit for purpose,
elicits an emotional response that yields
action,
and was developed by expanding a specific
person's judgment rather than replacing
it or their experience.
That's the new standard. We hold our work
at Metamorphosis,
my agency to it. We developed and
continuously refined The Playbook,
our product, to it. And it's the standard
of accountability I think we should
all be holding AI tools to, whether you're
an author,
a creative, a small business owner,
or running a nonprofit. Not, did AI make
this faster,
but did AI make this more specifically,
more honestly,
more like the person behind it.
If this series was useful, please tell me
in the comments what quality means
in your work and in your life.