No, AI didn't take my job. It enhanced it.
When ChatGPT first came out, I was skeptical. Those early prompts really surprised me — the results were good, although I also noticed some hallucinations and answers disconnected from reality due to the training data cutoff. That frustrated me at first, but I quickly understood why, and it became a secondary issue.
Then the paid version launched. At first, I hesitated — it felt expensive — but I decided to give it a shot. I quickly integrated it into my workflow and, to my surprise, saw a meaningful boost in productivity. I think many of us have gone through similar phases.
Now, I can’t imagine canceling the subscription or removing this tool from my day-to-day. And I’m not just talking about ChatGPT — I mean AI in general.
I entered a spiral — with highs and lows — that many of us in tech know well: the phase where you're constantly learning, integrating new knowledge, and applying it across a broad range of areas.
🛠️ I stopped using traditional search engines or documentation portals for technical problem-solving. AI became my go-to.
I started using it, as they say, as my operating system. I'd say 60% (and growing) of what I do today has that AI touch — that extra insight or layer that elevates my work. And I deeply appreciate that.
🤖 How I use it
When I face a new task, I define my goal, search, and iterate quickly to build a solid base and identify knowledge gaps. That awareness stays with me throughout the process.
📚 I still use official docs when needed, but I prefer starting with a concise summary that focuses on what matters most to the project.
Before, when I felt something was good enough, I’d submit it for review or ship it. Now, not anymore.
🔍 Phase 2: Secondary Discovery
This is my favorite phase — secondary discovery — where I learn the most and let AI shine as a copilot.
I ask questions like:
- ❓ What are other ways to solve this? How do others approach it?
- 🧠 If you were a specialist in X, how would you improve this?
- 📈 What would be the next steps to scale or optimize this?
- 🔄 Are there any alternatives to the tools we’re using?
- ⚖️ How does this compare to other available solutions?
And so many more, depending on the context. What’s impressive is how much knowledge you can extract — things that would take days or weeks on your own — delivered in minutes.
It's like extracting packaged knowledge and integrating it into your mental stack, plug and play.
With each new AI release — and they seem to drop weekly — I feel a mini panic. Not because I fear being replaced, but because I don't want to lose this phase I love: solving problems while learning along the way.
That hyperfocus mode where, step by step, you build something and deliver real value? I don’t want that to go away.
🚀 Superpowers within reach
AI is here to stay. It’s like being handed superpowers and access to a nearly infinite knowledge base just two clicks away.
With solid foundations, a bit of common sense, and good questioning, anyone can use AI to radically transform how they work.
✨ It’s not magic. It’s multiplied capability.
💬 Your turn
How about you?
Have you already made AI part of your daily work, or are you still just testing the waters?
I'd love to hear your experience in the comments. Let's learn from each other. 🚀
Top comments (3)
Yes ChatGPT has helped in many ways than one, as someone who is new to the IT circle and still figuring out my niche, Ai has helped me find my footing by giving me guides and steps to follow to up my skill.
It gives me rational answers with the right prompt
So yes it could be said that Ai is a part of my daily life, like who wouldn't😂😂
I'm right there with you. I love that always-to-short-time you have to actually design and explore possibilities before the real work begins. One of my favorite prompts, to add to your already great set, is some variant of "we need it to do X. Use 1-2 brief sentences, and propose 3 different solutions for achieving this. Include at least 2 pros and cons for each and give each a rating on a scale of 1-5 based on Q . Finally, recommend one based on this projects goals defined in .MD."
I usually get back a nice paragraph size summary of each idea and they almost always get combined in one way or another for the final implementation plan.
GPT models really excel at this level of creative output, too. Those guys usually ends up with all of my "what do you think about" and "how would you approach" type prompts.
Totally agree, we all play around with prompts trying to shape a solid execution plan. It’s like sharpening the axe before chopping down the tree. It might not be perfect at first, but with these models, we get way closer, way faster.