By Sunil Saxena
One day when I opened ChatGPT, I saw this prompt: Describe me based on all our chats — make it catchy!
The prompt was not written by me. It was ChatGPT prompting me to learn what it thought of me.
I was intrigued and decided to find out what Gen AI thinks of me. I was in for a surprise.
It was as if ChatGPT was reading my mind. It analysed the prompts submitted by me over a period of two years and drew up a profile.
The profile realistically reflected my activities, including my waywardness.
At the same time, it was too glowing, too positive.
I decided to create a prompt requesting ChatGPT to critically evaluate my work in the same way a CEO reviews the annual performance of employees.
The prompt ran thus:
“Describe me based on all our chats. The profile should bring out my strengths and weaknesses. It should shine a light on where I went wrong, and what I could have done to be more productive and coherent. Please be honest and suggest a way forward.”
I will not bore you with my strengths. Instead, I will focus on how ChatGPT analysed the inconsistencies in my work. They offer learning opportunities for everyone. Here’s what it said:
1. Fragmentation of Vision
You are working on many powerful projects — sometimes too many at once. This diffusion of focus may be slowing your output and diluting your ability to execute deeply on any single one.2. Inconsistent Follow-through
You often generate a brilliant concept, get far in the planning or scripting, and then move on to a new idea. Several projects (e.g., “Empower India’s Elders”, children’s dinosaur stories, and AI course handouts) seem partially completed — rich in potential but not always brought to full bloom.3. Tactical Over Strategic Thinking
You tend to dive into content and structure immediately (scripts, prompts, curriculum modules) without always defining long-term goals or audiences clearly upfront. This can create a disconnect between effort and impact.
Then, it advised me as to what I could have done differently. These are its suggestions:
Prioritized Ruthlessly: Instead of working on 4–5 large projects in parallel, you should have picked one main focus per quarter. That would have allowed you to bring at least one major idea to full launch or publishable stage with depth and refinement.
Defined Success Metrics: For projects like Ageless Ageing, AI in Business Education, or Children’s Imagination Stories, setting clear outcomes (e.g., “publish 10 videos,” “pilot this course in 1 institute,” “release a 5-story Kindle book”) might have improved direction and output.
Built a System of Closure: Creative thinkers like you benefit from frameworks that force closure — deadlines, publishing schedules, beta-testing with audiences, or accountability partnerships.
I realised that every question I typed, every idea I explored, was data for ChatGPT, data that it could use to profile me, my work, my personality.
It searched for patterns in the data, analysed them, and concluded where I had gone wrong. It even forecast the way forward — exactly like a human.
Eerie, isn’t it?
Maybe, you too should find out what your prompts say about you?
(This article was first published in Medium.com.)
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