Original Draft
AI Conversation Example
Final Version
I didn't start using ChatGPT until 2025, that is 7 years after OpenAI's first LLM launch - in tech years that may as well be a lifetime.
As a CRM Product Owner, many people presume I live in the tech world or work in an IT role - I dont. Ok, I do... but not the way many people believe.
I know people who work in IT - lots of them. I work with tried and true IT folks regularly. The work I do is NOT that. The people who specialize in security, developers, help desk support- yes, my role natively contains alot of those elements but the true deep dive - I know when to rely on the experts.
So why does this matter? Because it impacts my customers.
* Their perspective of what I offer vs don't.
* Where they should go when they need help.
* How much time they should spend trying to solve something themselves before reaching out.
What I offer isn't to be great at everything, it is how to give guidance and direction on next steps.
-> The best resources to use,
-> when to tap in help earlier vs experimenting a bit,
-> aligning people with the resources that align with the need.
So this bring me to why Im interested in sharing information about AI.
Not because I'm proficient, certainly not because I'm an influencer, I don't have immense insights to share in the AI adoption space.
Something much simpler - I can "speak" IT and represent others who do not.
LLM's are the evolution, something we will also need to adapt to, and this tech will impact all of our lives - profoundly.
Understanding it's abilities and limitations, and creating more awareness for those who don't "speak" IT about what it means for their lives is where I choose to provide value to my customers.
Not so my customers understand all of the nuances and ins and outs to become power users- but so they have just enough info about what to expect and context for what this can mean to them, for their work and personal lives.
Maybe they'll be intrigued and want to play with it a bit themselves - I believe they probably should. Will it need to be something they manage as part of their daily job? Likely no.
Effective incorporation of AI should feel natural, and intuitive, and not require a massive learning curve. It will change how people work, but ideally will not require a deep dive college course to understand it.
Understanding, even just a little, about out tecjnologys strengths ans weaknesses is what I hope those in my network will gain an understanding of because that is the stuff that really matters for those who don't work in this tech space.
I would keep this very close to what you wrote. The slightly conversational, self-correcting language is part of what makes it sound like you. I’d primarily fix grammar, tighten a few repetitions, and improve readability—not rewrite the thinking.
One factual point I'd change before posting: “7 years after OpenAI's first LLM launch” isn't quite accurate. OpenAI was founded in 2015, GPT-1 appeared in 2018, and ChatGPT launched publicly in 2022. If your comparison is to GPT-1, 2025 is indeed seven years later, but I'd write “seven years after GPT-1” rather than “OpenAI's first LLM launch.”
Conceptually, though, I think this post does something important for your AI series: it explains why you have standing to talk about AI without claiming AI expertise. Your value proposition is translation, application, context, and knowing when expertise needs to come from somewhere else.
I didn't start using ChatGPT until 2025. 🤖 That's 7 years after GPT-1's launch—in tech years, that may as well be a lifetime.
As a CRM Product Owner, many people presume I live in the tech world or work in an IT role.
I don't.
Ok, I do... but not the way many people believe. 😄
I know people who work in IT—lots of them. I work with tried-and-true IT folks regularly.
The work I do is NOT that.
Security, development, help desk support—yes, my role naturally contains elements of those things. But the true deep dives? I know when to rely on the experts. 🤝
So why does this matter?
Because it impacts my customers.
Their perspective of what I offer vs. don't.
Where they should go when they need help.
How much time they should spend trying to solve something themselves before reaching out.
What I offer isn't the ability to be great at everything; it's guidance and direction on what comes next:
→ The best resources to use
→ When to tap in help earlier vs. experimenting a bit
→ Aligning people with the resources that fit the need
Which brings me to why I'm interested in sharing information about AI. 💡
Not because I'm an AI expert. I don't have immense insights to share in the AI adoption space.
It's something much simpler:
I can "speak" IT and represent others who do not.
LLMs are an evolution we'll all need to adapt to, and this technology will impact our lives—profoundly. Understanding its abilities and limitations, and creating more awareness for others is where I choose to provide value.
Not to make people power users. To give just enough information about what to expect and enough context to understand what this could mean for their work and personal lives.
Maybe they'll be intrigued and want to play with it themselves—I believe they probably should. 😊
Will it be something they need to manage as part of their daily job?
Likely no.
Effective incorporation of AI should feel natural and intuitive, and shouldn't require a massive learning curve.
It will change how people work, but ideally it won't require a deep-dive college course to understand it.
Understanding even a little about our technology's strengths and weaknesses is what I hope people in my network take away from what I share.
For those who don't work in this space, that's the stuff that really matters.
And this post itself is an example of what I mean. 👇
I wrote the original version. Then I gave it to AI with one important instruction: keep as much intact as possible.
Would this be flagged as AI content under the new Anthorpic labeling process? Absolutely. How much for this is uniquely mine vs AI content - well, here, judge for yourself.
See exactly what changed—and what didn’t, because understanding how we work with AI may be just as important as understanding what AI can do.
What AI-Assisted Writing Actually Looks Like: Example
AI Proposed Post
I didn't start using ChatGPT until 2025. That's 7 years after OpenAI's first LLM launch—in tech years, that may as well be a lifetime.
As a CRM Product Owner, many people presume I live in the tech world or work in an IT role.
I don't.
Ok, I do... but not the way many people believe.
I know people who work in IT—lots of them. I work with tried-and-true IT folks regularly.
The work I do is NOT that.
Security, development, help desk support—yes, my role naturally contains elements of those things. But the true deep dives? I know when to rely on the experts.
So why does this matter?
Because it impacts my customers.
Their perspective of what I offer vs. don't.
Where they should go when they need help.
How much time they should spend trying to solve something themselves before reaching out.
What I offer isn't the ability to be great at everything. It's guidance and direction on what comes next:
→ The best resources to use
→ When to tap in help earlier vs. experimenting a bit
→ Aligning people with the resources that fit the need
Which brings me to why I'm interested in sharing information about AI.
Not because I'm an AI expert. Certainly not because I'm an influencer. I don't have immense insights to share in the AI adoption space.
It's something much simpler:
I can "speak" IT and represent others who do not.
LLMs are an evolution we'll all need to adapt to, and this technology will impact our lives—profoundly.
Understanding its abilities and limitations, and creating more awareness for those who don't "speak" IT about what it means for their lives, is where I choose to provide value.
Not so people understand all the nuances and ins and outs or become power users.
But so they have just enough information about what to expect and enough context to understand what this could mean for their work and personal lives.
Maybe they'll be intrigued and want to play with it themselves—I believe they probably should.
Will it need to be something they manage as part of their daily job?
Likely no.
Effective incorporation of AI should feel natural and intuitive, and shouldn't require a massive learning curve.
It will change how people work, but ideally it won't require a deep-dive college course to understand it.
Understanding even a little about our technology's strengths and weaknesses is what I hope people in my network take away from what I share.
Because for those who don't work in this space, that's the stuff that really matters.
#ArtificialIntelligence #FutureOfWork #Technology #AIAdoption #EmployeeExperience