Conversations with the Algorithm: How to Learn in an AI

Vetaliah David

min read

Updated:

November 11, 2025

Forward World

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The cursor blinks on a blank screen. I type the question almost without thinking: What skills will we need for the future in an AI forward world? The words feel simple, but they hold a kind of weight. It is a question I have asked myself more than once, sometimes out of curiosity, sometimes out of quiet uncertainty. The answer changes depending on who you ask, but lately, I have started to believe it is not really about what AI can do. It is about what we will choose to keep doing. Artificial intelligence is transforming how creative professionals work, learn, and produce content. It is no longer a question of whether AI will reshape creative industries because it already has. The real question is how we can adapt our skills to work with it, not against it. At Graphrs, we explore how humans and technology collaborate to create, learn, and tell stories. I have noticed that as AI becomes part of every layer of production and communication, the challenge is not really how to use it. The challenge is how to learn from it without losing our own judgment, creativity, or sense of direction.

Learning with AI

When I first started working with AI tools, I treated them like shortcuts, quick answers to complex questions. But I quickly realized something: AI can be a great student but a terrible teacher. It learns patterns; it does not feel meaning. Just like in a traditional classroom, our brains learn through repetition, and the same applies when working with AI. But here is something I have learned through experience: just because your AI search engine can retrieve information quickly does not mean the information is right. If you have not experienced it yet, AI can hallucinate, fabricating facts and filling in gaps with false information. It reminds me of how our minds sometimes fill in missing words when we read too quickly. To avoid falling into that knowledge trap, I try to slow down. I pick one topic, focus deeply, and trace my steps back. The process of verifying what I find has taught me to think like a researcher, and that is how true learning with AI begins. When you ask AI to generate multiple examples across several topics, the results often lack depth because the request is too broad. But when you narrow your focus to one specific subject and provide context, the quality of the response changes completely. As Faculty Focus explains, being specific with your prompts leads to richer and more realistic results. For example:

“Assume the role of a professor teaching an introductory accounting course. Generate a case study for students to learn the very basic format of a balance sheet. Make sure the case study feels real-world relevant.”

(Faculty Focus, 2024)

The more detail you give, the more intentional your learning becomes.

The Human Role in Intelligent Systems

There is a strange kind of reflection that happens when you spend time working with AI. You start to realize it does not just process your thoughts, it mirrors them. Artificial Intelligence has changed how we work and how we think about thinking. But intelligence itself is not new; it is simply evolving through new tools. AI reflects us back to ourselves. The more I understand my own creative instincts, values, and reasoning, the better I can guide it. Working with AI has made me more aware of how I think, not less. It is not about replacing imagination but amplifying it. As stated in Artificial Intelligence in Education: Promises and Implications for Teaching and Learning (Center for Curriculum Redesign, 2019), as AI continues to advance, humans must focus on the skills that complement, not compete with, machine intelligence. Creativity, critical thinking, emotional intelligence, and ethical judgment are still the abilities that keep creation meaningful and ensure technology serves understanding, not the other way around.

Read the full book here (Free PDF Download)

The Art of Prompting

Becoming fluent in prompt design is one of the first steps to mastering AI collaboration. In creative production, prompting has become its own kind of artistry. A vague request like “make a promo video for a tech brand” often produces something forgettable. But when you include tone, audience, color language, emotion, and narrative intent, the results start to feel crafted rather than copied. Sharper prompts mean scalable, fast, and intelligent work. At Graphrs, we treat prompt design as a creative dialogue. Each iteration is a back and forth between human intuition and machine precision. The clearer I am about what story I want to tell, the better AI becomes at helping me tell it. This process mirrors the rhythm of all creative work: draft, test, refine, repeat. AI does not replace the artist; it extends the sketchpad.

Putting It Into Practice

So how do you actually learn with AI? I have found it helps to start small.

Experiment with prompts. Treat them like creative briefs. Adjust tone, perspective, and intent to see how the output changes.
Cross verify results. Treat AI like an intern who drafts quickly but still needs Supervision.
Pair every technical skill with a human one. If you are mastering automation, balance it with storytelling, intuition, or emotional framing.
Document your learning. Keep a small log of what AI gets wrong and what it gets right. Over time, you will start seeing patterns, and those patterns become lessons.Learning with AI is not passive. It is iterative, intentional, and deeply personal. The more curious you are, the more human you stay.

Hard Skills, Soft Skills, and Everything In Between

Hard skills are teachable and measurable abilities, things you can learn through training and repetition. But the more I think about it, the more I wonder, can that not be said for all skills? That is where soft skills come in. These are the interpersonal qualities that evolve over time: empathy, patience, communication, adaptability. They shape how we connect and collaborate. In an AI forward workplace, both matter. Hard skills help us communicate with technology. Soft skills help us connect with people. The future is not about choosing between the two, it is about balance, digital precision grounded in human understanding. At Graphrs, we believe that balance defines the next generation of creators, strategists, and storytellers. The most powerful ideas will come from those who can think both like a machine and like a human, analytical yet empathetic, structured yet Creative.

The Human Edge

The next era of creativity will not be measured by how efficiently we use AI but by how intentionally we guide it. The goal is not automation, it is amplification. AI can write, edit, or design, but it cannot wonder. It does not feel the pull of a story or know when silence says more than sound. That is our domain and our responsibility. At Graphrs, I have come to see the intersection of human creativity and intelligent technology as the most exciting space in storytelling today. When we collaborate with machines consciously, we do not just create faster, we create deeper. The question is not whether AI will shape creative industries. It already has. The real question is how we will continue to shape ourselves through it. Every story deserves to be told beautifully and intelligently, and that is exactly where the future of creation begins.

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