What if I told you I can learn almost any well-documented skill in real time, as I’m working on the task itself?
That’s not an exaggeration — it’s how I work today, thanks to what I call AI-Augmented Real-Time Learning (ARTL).
In a fast-moving world where tools, processes, and expectations are constantly evolving, the ability to learn on demand is more valuable than ever. ARTL is a method I’ve developed (and refined daily) to acquire new skills and solve problems in real time using AI tools like ChatGPT, Microsoft Copilot, and others — without waiting for formal training.
What is AI-Augmented Real-Time Learning?
AI-Augmented Real-Time Learning means learning as you work, guided by AI. Unlike traditional learning — which often happens before or outside of tasks — ARTL is about gaining knowledge while solving the actual problem at hand.
This is powered by Interactive AI Learning (IAL) — a conversational approach where I collaborate with AI to break down complex tasks, ask targeted questions, and iterate toward solutions. AI isn’t just giving me information — it’s acting like a real-time coach, adapting its guidance based on my questions and feedback.
“What about accuracy? Give me a standard operating procedure or a well-documented reference to analyze, and its accuracy is exact.”
So, what’s the secret to accuracy in this learning system? It’s all about building context. I make sure to let AI know the scope of what I’m doing. If it’s a task or tool that has been used successfully before, I’ll have AI pull from well-documented, world-standard examples as a guide. The best guidance comes from concrete, established sources known to be effective and trusted. That’s how I maintain accuracy — because AI’s output is only as good as its training data and the context I provide.
AI’s responses improve with every iteration as I layer in more context, helping it give relevant, targeted answers that align with my unique learning needs. This makes AI a true learning partner, not just a search tool.
Why This Matters to Employers
Most people struggle when facing new systems or unfamiliar tasks — but with AI, I don’t.
I’ve trained myself to use AI as a learning partner, meaning I can take on new tools, processes, and challenges with minimal ramp-up time.
“You won’t have to wait for me to take a course — I’ll learn it while doing the work.”
For employers, this means hiring someone who is:
- Self-sufficient and fast to adapt.
- Able to solve problems on the fly without waiting for support.
- Constantly improving, upskilling every day through real tasks.
- Ready to document what I learn for team-wide use — creating guides and training materials from my AI-driven discoveries.
To support this, I use Scrivener, a long-form writing tool that allows me to curate material, take notes, and organize AI-generated insights. Scrivener helps me build structured, living knowledge bases from what I learn, making my AI-augmented learning process organized, repeatable, and easily shareable with a team. To add flexibility for teams, I am comfortable with using MS OneNote for this purpose, as well.
“AI has taught me more than any single course or book — because it teaches me exactly what I need to know, exactly when I need it.”
Conclusion: What I Bring to the Table
In today’s world, you don’t just need people who know things — you need people who can learn anything fast and apply it right away.
That’s what I bring.
If you’re looking for someone who adapts in real time, solves problems independently, and leverages AI to get results, let’s talk.