Your Process Is The Problem
Everyone’s obsessed with AI outputs.
The dazzling images. The human-like text. The code that writes itself.
But they’re focused on the wrong end of the pipeline.
Your process – how you think about and interact with AI – that’s where the magic really happens. Or doesn’t.
Most people treat AI like a vending machine. Input prompt, receive output, repeat. They get frustrated when the results aren’t perfect.
They blame the technology.
But the technology isn’t the bottleneck. Your process is.
Think about how you think. That’s where transformation begins.
Great AI results come from great AI thinking. And great AI thinking requires a complete rewiring of how you approach problems.
Start with the end in mind. What are you really trying to achieve?
Break it down into smaller pieces. AI excels at specific, bounded tasks.
Build iteratively. Each interaction should inform the next.
Learn to speak AI’s language. It’s not human language. It’s not computer code. It’s something in between.
The best AI users aren’t programmers or subject matter experts. They’re translators.
They translate human problems into AI-solvable chunks.
They translate AI outputs back into human-useful solutions.
They translate failures into learning opportunities.
Your process should be:
Clear
Iterative
Adaptive
Learning-focused
Most importantly, it should be conscious. Intentional.
Every interaction with AI is a chance to refine your process. To build better mental models. To understand both the technology’s capabilities and your own thinking patterns.
The outputs will follow.
But first, fix your process.
Because the gap between AI’s potential and your results? That’s not an AI problem.
It’s a you problem.
And the solution isn’t more prompts or better models or fancier tools.
It’s better thinking.
Start there.
Your process is the problem.
Fix that first.
Everything else will follow.
