AI doesn't make typos, I do (and I'm learning): My raw notes from the Google Agents Challenge
Source: Dev.to
Background
Back in November, I dove into the 5‑Day Gen AI Intensive with Google and Kaggle. I entered as a visual artist and consultant, looking for tools. I left with something different: a new mindset about our human role in the AI era.
They say that to truly learn something, you have to write it down by hand. So I unplugged the keyboard and took out my notebook.
The evidence of the crime (and the learning)
If you zoom in, you might spot something curious (besides the Spanish): spelling mistakes. I could have asked an AI to transcribe this and polish it before publishing, but I decided to leave it “raw” for an important reason:
I am aware of my mistakes, and I work on them every day. At my age, I keep learning, improving my writing, and challenging my own neuroplasticity. This image demonstrates the perfect division of labor:
- Human brain – busy connecting abstract concepts, designing strategies, and visualizing complex architectures.
- AI – assists with syntax and final execution.
This is the essence of augmented creativity: it’s not about being perfect, it’s about orchestrating machine intelligence with human intention.
3 Insights from my notes (translating my own handwriting)
- “They are machines for predicting the next word, not databases.”
- The Era of “Context Engineering.”
- From Chatbot to “Flow Orchestrator.”
Conclusion: The Human Orchestrator
AI can correct my spelling in milliseconds, but the strategic vision and empathy needed to apply these solutions to real problems are still on me (and you).
What about you? Do you still see AI as a chat, or have you started orchestrating your agents?