Yogesh Joshi

Hey everyone,

I've been thinking a lot about this and I still can't say for sure.

So basically I've launched a product which is not AI, it has MCP and mentions a lot of stuff but the core positioning and idea is not about AI at all.

I have heard/read that people started making mistakes in their text to sound more like a human and less like an AI.

+ There was a discussion that LinkedIn identified AI-generated text + Claude released text watermarks.

While building an early-stage SaaS product, I have found that AI makes it surprisingly easy to turn an idea into a working feature but, deciding whether it is the right feature to build is much harder. At our stage, we rarely have enough usage data to be certain and we usually have to combine a handful of customer conversations, early usage pattern and our own judgment. When the signal is unclear, we try to build the smallest usable version first and learn from it.

For other early-stage founders, what gives you enough confidence to build a feature when the data is still limited? Do you rely more on repeated customer requests, observed behaviour, willingness to pay, or founder judgment?