Welcome to The AI Dhandho blog, where we share practical insights, case studies, and guides on implementing AI automation in your business.
It was 12 PM on Monday, and I was drained.
What started as building a trading app over the weekend had bled into my work week.
The early versions worked. But now I was staring at a bug with no idea where to start. Every troubleshooting session with AI opened three new questions, and AI would egg me on for more approvals.
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No, never ever!
That’s what my daughter tells me when I ask her to write the same letter more than five times.
She doesn’t want to do it. I understand why. I was the same.
Writing was my weakness growing up. I practised it over and over, not because I enjoyed it, but because I had to. It became acceptable. Not great. Just good enough.
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“What does mechanical mean?”
That was the first question his mechanical engineering professor asked on the first day of class.
Answers came quickly from the room. Something about machines. Something repeatable. Something that works according to instructions.
The professor waited. Then he said, in his Bengali accent:
“Mechanical means boring.”
It took years to understand what he meant.
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If you have been following AI over the last few months, you may have felt something shift.
The models are better. The tools are more capable. New possibilities appear almost every week. On the surface, it finally feels like AI is delivering on what it promised.
But alongside that progress sits a quieter feeling.
A growing sense that the world is moving faster than you can keep up with.
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Photo by Google DeepMind
You know you should be doing something with AI, but where do you even start?
Every week brings a new “breakthrough” tool, another case study, or a viral post claiming to have cracked the AI code.
Your competitors are showing off their “AI-powered” workflows.
Your inbox is full of newsletters promising instant automation wins.
Read more →Learn why building AI systems beats wrestling with prompts.
Read more →How a 2,000-year-old business philosophy from Gujarat is helping small businesses dominate with AI (without the risk)
Read more →Many businesses know they should be using AI but don’t know where to start. This guide will walk you through identifying and implementing your first AI automation project using Dhandho principles - low risk, high reward.
Not all processes are suitable for AI automation. Look for tasks that are:
Before implementing AI, establish baselines:
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