ChatGPT alla bolognese

I think of #copywriting as making an enchanting dinner for your date.

#ChatGPT gets you as far as a bottle of bolognese sauce, dried pasta, and pre-grated cheese: generic, bland, forgettable, and no second date.

Full-fledged copywriting is like when you make the ragù and tagliatelle from scratch: you create something interesting, engaging, and likely a "Can't wait to hear from you again!"

Sure, you didn't exactly create an original or unique dish – you probably read through a lot of recipes, watched video guides from pros and home cooks, tested a few variations (and dumped your failed attempts), but the end result is still your own, authentic.

And then there are a whole lot of variations in between those two extremes of off-the-shelf and custom-made.

Home-made sauce with store-bought dry pasta will still do the job, just make sure you grate the parm fresh on top. That bit of dry pasta input from ChatGPT will not hurt, but may make that special meal considerably easier to prepare. As an analogy, the language services industry has already learned this when adopting #MT (machine translation) into the #localization workflows for wide ranges of content to do some of the heavy lifting.

Let's face it, Large Language Models (#LLM ) are fantastic. These generative AI tools are in many ways unparalleled in tasks such as summarization, sentiment analysis, tone fine-tuning, and even some forms of writing. But at a bare minimum, if you want your content to resonate with your audience, put your finishing touches on the copy, to avoid regurgitation (pun intended).

Better still, use raw #GenAI for what it is: a tool, a building block, a brainstorming device, a crutch to lean on, perhaps a source of inspiration to break your writer's block.

How do you go about preparing dinner for your special one?

Inspired by David McGuire's post .

(Disclaimer: No parts of this post were written or prompted by AI, even though I am not good at making fresh pasta.)