Prompting isn’t about “getting answers.”
It’s about using AI to remove friction from life, work, and thinking.
To prove that, here are 10 real problems I solved with ChatGPT in the past month, across coding, business, content, and decision-making.
None of these required advanced tools.
Just Prompt Thinking.
1. Debugging a Python Script I Didn’t Write
Someone sent me a failing script with zero comments.
Instead of reading line-by-line, I asked AI to:
- explain the code
- find possible failure points
- fix inefficiencies
Result: Working code + optimization in 12 minutes instead of 2 hours.
2. Turning a Complex Idea Into a Clear Framework
I had a concept for “AI-First Workflows” but it was abstract.
ChatGPT helped me structure it into:
- a 5-stage model
- visual diagram format
- examples + teaching script
This became a Dev.to article, workshop module, and future book chapter.
- 3. Drafting Book Content Faster (Without Losing Voice)
Not by asking it to “write a chapter.”
But by using it to:
- organise my ideas
- produce subtopic breakdowns
- generate examples & exercises
AI didn’t replace my writing; it accelerated clarity.
4. Stress-Testing a Product Idea Before Building It
I shared a new AI tool concept.
ChatGPT:
- challenged my assumptions
- pointed out adoption risks
- suggested a better onboarding flow
It saved me weeks of building the wrong version.
5. Turning 1 Idea Into 5 Content Assets
I took one concept: “AI Working Memory.”
AI helped me turn it into:
- a Dev.to article
- a YouTube script
- a carousel
- a mini email
- a short writing prompt for creators
This is leverage.
Most people create once.
AI helps you multiply.
6. Rewriting a Technical Explanation for Different Audiences
Same topic.
3 versions:
- beginner
- intermediate
- senior engineer
This is a superpower for educators, founders, and dev rel creators.
7. Decision Support When Facing Two Good Options
AI didn’t “decide for me.”
It helped me think by:
- listing second-order consequences
- comparing upside vs downside
- playing devil’s advocate
AI becomes wiser when you treat it as a thinking partner, not a shortcut.
8. Fixing Poorly Defined Requirements for a Dev Sprint
Bad requirement writing wastes developer time.
I used AI to convert a vague spec into:
- clear user stories
- acceptance criteria
- edge cases
- test scenarios
Result: Fewer reworks. More clarity. Teams love this.
9. Improving the Quality of My Ideas (Not Quantity)
I didn’t ask AI for “10 more ideas.”
I asked:
“What would make this idea more transformative, valuable, and original?”
The quality of answers changed completely.
Better questions → Better breakthroughs.
10. Personal Clarity: Journaling With an AI Mirror
I use AI for reflection.
Not to write for me, but to make me see myself better.
I shared a frustration.
AI reflected patterns, biases, and blind spots I missed.
This is AI-aided self-awareness, the most underrated use case of all.
The Core Insight:
People are looking for “AI hacks.”
But the true unlock is this:
AI stops being a tool the day you start treating it as a partner in thinking, building, and evolving.
I didn’t “use prompts” to solve these problems.
I designed intelligence flows with AI.
And when that becomes your default, your output, pace, and clarity start compounding.
Final Thought
These weren’t “AI tricks.”
They were amplifiers of my thinking, speed, and outcomes.
The more you integrate AI into the layers of your work, the more life starts moving with momentum and simplicity.
Next Article:
“The Psychology Behind Powerful Prompts”
Because prompting isn’t just technical, it’s deeply human.
Top comments (2)
Prompting isn’t about “getting answers.” It’s about using AI to remove friction from life, work, and thinking.
Really loved this! 🙌 The point about using AI as a thinking partner instead of just a shortcut really hit home. Especially the “intelligence flows” idea — that’s exactly how AI becomes a force multiplier in real work, not just a content tool.