Most People Are Using AI Wrong: Lessons on Human-AI Collaboration with Zach Kinzler of BoodleBox

Evan J. Cholfin

Jun 24

4 min read

Artificial intelligence is evolving at an incredible pace, but according to Zach Kinzler, Founder and CEO of BoodleBox, the biggest challenge isn't the technology itself—it's how people are using it.

By Evan J. Cholfin

In a recent episode of AI Speed, host Evan J. Cholfin sat down with Kinzler to discuss AI adoption, workforce readiness, higher education, and the future of human-AI collaboration. The conversation revealed a powerful theme: the organizations and individuals that thrive in the AI era won't necessarily be those with access to the most advanced tools. They'll be the ones who learn how to work alongside AI effectively.

Stop Treating AI Like a Computer

One of the most compelling insights from the conversation centered on a common misconception about AI.

For years, users have been taught that success with AI depends on mastering prompts and learning complex prompting frameworks. Kinzler argues that this mindset may actually be holding people back.

Large language models are trained on vast amounts of human language. Rather than treating them like traditional software, users should approach them more like collaborators.

As Kinzler explains, many people struggle not because AI is difficult to use, but because they have difficulty clearly defining problems and articulating what they want to accomplish. AI can produce remarkable results, but only when given clear direction.

In a world increasingly shaped by AI, communication skills may become just as valuable as technical skills.

The Difference Between AI Trends and Real Progress

The AI landscape changes almost daily.

New models, applications, and platforms emerge constantly, each promising to revolutionize how we work and live. Yet Kinzler warns against becoming overly focused on the latest trend.

Over the past two years alone, different platforms and models have taken turns dominating headlines. Today's breakthrough can quickly become tomorrow's forgotten tool.

Rather than chasing every new release, organizations should focus on developing foundational AI capabilities. Understanding how to integrate AI into workflows, improve productivity, and solve real-world problems will create far more value than constantly switching between tools.

The trend that matters most may not be any specific model—it may be the growing ability for everyday users to build, create, and automate tasks without traditional technical barriers.

Building an "AI Resume"

One of the most forward-looking topics discussed during the episode was the future of education.

BoodleBox works extensively with colleges and universities, helping institutions prepare students for an increasingly AI-driven workforce. According to Kinzler, many schools are beginning to recognize that AI literacy is becoming a critical career skill.

He introduced the concept of an "AI resume"—a record of how students have learned, collaborated, and worked with AI throughout their educational journey.

Today, students graduate with transcripts, degrees, and portfolios. In the future, employers may also want evidence of a candidate's ability to effectively leverage AI tools, manage AI-assisted workflows, and collaborate with intelligent systems.

This shift could fundamentally change how educational institutions prepare students for the workforce and how employers evaluate talent.

The Importance of Trust, Security, and AI Infrastructure

While excitement around AI often focuses on capabilities, organizations frequently face a different challenge: trust.

Questions surrounding privacy, compliance, security, and data governance continue to be major barriers to adoption, particularly in industries such as education, healthcare, and legal services.

Kinzler discussed how BoodleBox addresses these concerns by providing access to multiple leading AI models while emphasizing data protection, compliance, and secure deployment practices.

The conversation highlighted an important reality: successful AI adoption isn't just about choosing the right model. It's about building the infrastructure, policies, and governance frameworks that allow people to use AI confidently and responsibly.

As AI becomes more deeply embedded into organizations, these foundational considerations will only become more important.

The Future Is Human + AI

Perhaps the most important takeaway from the episode is that the future of AI isn't about replacing people.

Instead, it's about creating systems where humans and AI work together effectively.

Kinzler envisions a future where teams include both human contributors and AI collaborators working side by side. In this environment, AI handles tasks that benefit from speed, scale, and automation, while humans provide judgment, creativity, context, and strategic thinking.

Organizations that learn how to build these collaborative workflows will be better positioned to adapt to the rapidly evolving technological landscape.

The conversation serves as a reminder that AI's greatest value may not come from what it can do independently—but from what humans and AI can accomplish together.

Final Thoughts

As AI continues to reshape industries, education, and the workforce, the most important skill may not be technical expertise. It may be the ability to communicate clearly, think critically, and collaborate effectively with intelligent systems.

In this episode of AI Speed, Zach Kinzler offers a practical and refreshing perspective on what it takes to succeed in the age of AI—from moving beyond prompt engineering myths to preparing students and organizations for a future defined by human-AI partnership.

The future isn't humans versus AI.

It's humans and AI working together.

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