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Good AI = right requirements (builds with context/knowledge) + memory + examples (if agentic/operational building. this is good enough to build a MVP. I am happy to help if anyone is building to solve a problem in any space. I am also learning it fro

If an Idea is not good or maybe impossible to do should we do it if it's important enough ?

6 types of AI models! With: description, examples and workflow If anything being missed please share on comments!

Knowing is not enough. We must apply. Willing is not enough. We must do. ~ Bruce Lee

Everyone has access to the same AI now. So why do some teams still outperform others? The difference is not the model. It is the context around it. Two teams can use the same GPT, Claude, or Gemini and get completely different outcomes. One ends up

Bleeding Edge: Startups Outpacing The Current Limited Market ! Bleeding Edge is a two edged sword, which can lead to your Startup’s failure if not being careful and smart enough. Having an out of the world edge isn’t just enough, if you cannot con

India won't be able to create enough jobs over next decade even if economy grows 7%. Not surprised 🤷

The hidden rule of startups. If you think your idea is unique, you just have not googled hard enough

Elon Musk once said, ‘Failure is an option here. If things are not failing, you are not innovating enough.’ What risks will you take today?”

I did not ever think that Real Estate can be added to Quick Commerce, now I am thinking what else can be added to Quick Commerce and I am now very confused in all this crazy things happening.