In a recent episode of The Sparking Entrepreneur Show, Diffco CEO and Co-Founder Vadim Peskov sat down with hosts Kiran Agrahar, Subrat Sahoo, and Raviraj Sharma for a 34-minute conversation on what separates AI products that actually work from the ones that look great in a pitch deck and stall the moment they meet real users.
The conversation moved through three threads we hear founders ask about every week.
How to evaluate an early-stage AI idea
Vadim shared the lens he uses both as Diffco's CEO and as an Alchemist Accelerator advisor: start with the workflow, not the model. The question isn't “where can we sprinkle AI?” — it's “where in this customer journey does work slow down, and would automating that step create measurable value?” Founders who can answer that in one sentence tend to ship faster and raise easier.
What makes a strong AI product
Three traits show up again and again in the AI products that survive past the demo: a clearly defined unit of value (one task done dramatically better, not ten tasks done slightly better), a feedback loop that actually improves the model with use, and an interface that hides complexity instead of celebrating it. The “wow” moment shouldn't be the model — it should be the outcome.
The biggest mistakes founders make when building technical solutions
Building before validating. Treating prototypes like products. Picking a model before picking a problem. And — the one Vadim returns to most — under-investing in UX. AI products live or die on the friction between the user and the answer.
If you're building in AI right now, dreaming up your first startup, or just trying to figure out where the real edge is in today's tech ecosystem, this one is worth your 34 minutes.
🎧 Listen to the full conversation:
