Journal 1 Peter Fodor May 27
The internet is flooded with generative AI prompt courses and libraries. Numerous “experts” claim this skill set will soon be highly sought after.
I think that’s BS.
Here are two major reasons why I don’t believe this:
1. Prompting is Not Natural
The necessity to write a prompt in a certain structure is a very temporary phase of technology. Do you know anyone who uses sophisticated queries in Google?
I guess not, because smart engineers figured out how to present relevant results based on very simple natural language. Prompting courses will become obsolete before you can blink as the technology will become more human-centric.
To prove my point, just check the newest ChatGPT 4o, which allows great and near real-time natural voice conversation. Midjourney prompting in Discord is also a very nerdy and temporary interface which, I bet, will change into a more user-friendly one by the end of this year.
2. It’s Not Command Lines, It’s a Conversation
Traditional computers operate with specific structured commands, like SQL, for example. Through my experience with AI tools, I’ve realized it’s not so much about the prompts but the dialogue.
AI tools such as ChatGPT or Perplexity use conversational interfaces, allowing for natural dialogue. This offers a fundamentally different way to get what you seek.
GenAI tools differ from search engines, which work well with simple search queries. They deliver fast and broad results, and your time is invested in picking one of the offered options.
AI tools, however, excel in detailed, contextually rich conversations that are refined over time. You can instruct ChatGPT to change the tone, go deeper into a specific area, rewrite for clarity, or provide better examples. The more you provide, the greater the value you gain.
Why Juniors Struggle with AI
The problem is that most people are bad at meaningful conversations–personal or business, it doesn’t matter. Just count how many people in your bubble ask great questions and with whom you have inspiring dialogues (I have no more than 5 people).
This is even more problematic at the entry and junior levels. Not only do early-career professionals not know what questions to ask, but they often lack skill in evaluating the quality of genAI outputs.
Achieving success with AI is highly connected to knowing what you want and which parts of the creative process can be sped up with this technology.
The hard thinking and conceptual work are still, for now, something we humans do better. Juniors don’t have the level of knowledge and critical thinking developed to the extent needed to find the line between which part of the hard work is on them and where AI can help.
AI as Part of Onboarding and Training
At AppAgent, we’re exploring how to integrate AI training in onboarding, how to define the boundaries of AI fair use, and how to educate people on the best combination of their brains and technology. But one thing is for sure, there’s no other way than talking about this openly and learning as we go.
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