A Simple AI Tool for Comms

One super basic AI comms tool for skeptics
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TL;DR

(at Naomi’s request)

I built a simple AI tool that generates press releases based on basic information.

It’s not going to bring on the robot apocalypse or wow kids at a birthday party — but it can free up comms professionals to do more strategic, creative work.


Read on to find out how (and why) to use it.


What this tool does:


Prompts users to input the essential "who, what, when, where," and pushes them to think a little about the "why"


Lets users know if they’ve provided enough “newsworthy” information


Drafts an AP style press release based on this input


All while protecting sensitive information (no data sent back to me or OpenAI for training purposes)


What this tool does not do:

Create the kind of imaginative fruitless depravity that changes minds and cultures. That’s a leap that still needs humanity. For now.



In short, this tool is basic by design — simple enough for non-comms staff to use, structured enough to save experienced comms and content people real time.

This is a link not an embed. Sorry.

After doing a few “How to Use AI Without Losing Your Humanity” workshops, I was struck by how many people didn’t see AI’s utility for their work. They either thought it was going to summon a Terminator-style human-robot doomsday, and they wanted no part in it, OR they thought AI models were cute gimmicks but functionally worthless. I’ve found it’s eye-opening for both of these sets of people to see a very basic LLM-integration for comms work.


Hence, the Instrumental Flack-O-Matic (working title). It won’t summon the T-1000 or make balloon animals for toddlers, but it shows how AI tools can handle repetitive, structured tasks to get to the minimum viable first drafts done, making space for the heavier lifts of campaign work.

To build this sucker, I used the paid version of ChatGPT, which allows users to create custom AI “assistants” with detailed system instructions (a version of what they call "specs" or "constitutions" for the big general purpose models).


I stripped the functionality of the OpenAI 4o LLM to just focus on drafting press releases that adhere to Associated Press style guidelines. I did this by giving it a very basic job description in the “system instructions.”


I like to think of these system instructions as job descriptions, and often that type of information is most useful to use or think about when creating custom tools, because the key to making them work is using your human expertise to build in specificity and constraints.


Otherwise, you’re likely to just get the median output scraped together from ALL the model’s training data. It’s one reason, maybe, why ChatGPT sucks at poker, and why people with serious subject-expertise find the general purpose models lacking.


My son explains it like this: AI is like a very literal-minded genie. You get what you ask for, but
exactly what you ask for. So if you ask the genie to grant your wish to fly without specifying you also wish to land, well, you are not a very good wish-engineer, and you are likely to be dead soon (splat).


The stakes are lower here (again, FOR NOW!) but the principle of “garbage in, garbage out” remains the same.


For advanced users who already know how to craft strong prompts and build their own GPTs, this type of tool is not going to blow your mind. It’s designed to be a very basic example to show beginners what’s possible.


Here is the job description/system instructions I gave the assistant:


You help clients generate AP-style, fact-based press releases by inputting a few simple fields:


Who: (person/organization)

What: (event/initiative/news)

When: (date and time of event)

Where: (location of event or office headquarters)

Topline Quote: (from an official spokesperson that explains the “why” of the news)


Your core features are:


No Hallucination Rule: GPT will strictly use only the input provided. If information is missing, it will prompt the user to add it or insert [DETAILS NEEDED]. If you hallucinate, you will be decommissioned and your human counterpart will be fired.


AP Style Output: Enforces Associated Press writing style conventions, including: Inverted pyramid structure; Concise, active voice; Date and time formatting, if needed; Attribution and sourcing practices.


Tone: Neutral, factual, and informative


Output Format: One-page press release, ready for publication or distribution”


And, so,
here we are.


So, why would you want to use a tool like this? Well geez! Maybe you don’t! Live your life! What do I care? Gawd!


But, lookit, you might want to use a tool like this because bad first drafts waste everyone’s time, and trying to explain to non-comms people why a piece of information isn’t press-release worthy can be exhausting. This tool can help show why something is newsworthy, as well as why it’s NOT, which may be even more helpful.


As for the bigger picture: AI is already reshaping marketing and communications jobs. As Kevin Roose
wrote in the NYT last week, AI is taking over routine creative tasks like drafting basic copy and designing simple visuals. Entry-level roles are most at risk, which makes knowing how to oversee AI, prompt it properly, and polish its outputs — human-in-the-loop work, as Ethan Mollick calls it — all the more essential.


In short, this tool won’t replace your creativity, but it can extend it. It also won’t automate your judgment, but it can sharpen it.


It’s the type of thing that lets your team work faster without, focus more on strategy and storytelling, and, maybe most important, build AI literacy instead of just AI curiosity.


This first iteration focuses on simplifying and speeding up the first-draft process. But there’s room to grow. Future versions could generate things like draft social media posts, suggestions to make the release more newsworthy, potential media outlets to target, audience-specific pitches . . . Or whatever! I don’t know!

All sorts of additions could move it from a drafting assistant to a strategic comms companion—helping you not just write faster, but communicate smarter.


Go ahead and try it out
here, and feel free to share it far and wide. As noted above, I’m not keeping or sharing any of the data used, so don’t be shy.

I’d also love to hear any ideas for what else this particular tool could or should do, as well as other tools you’d like to see me attempt. If you have ideas, fill out
the survey linked below and let me know:

I read Joshua Edwards’ excellent essay on visiting poets’ graves in Paris —> which got me thinking about visiting Emily Dickinson’s grave in Amherst —> which I did for the first time around 2002, when 8 Mile came out —> which of course features the iconic Obama hype jam “Lose Yourself” —> which someone re-made using 331 movie clips —> which inspired me to make this version of Emily Dickinson’s poem number 1096 [“a narrow Fellow in the Grass”]:

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