このエピソードについて
I've been seeing a recurring pattern with companies selling APIs, MCPs, data feeds, and other developer-focused AI products. While the technology is often sound if not impressive, sales momentum sometimes slows when prospects have to imagine how the product will create value in their own environment. My perspective on this is that the flexibility that makes these tools powerful can also make them harder to evaluate.
Flexibility can adversely increase the Invisible Intelligence Gap, and I think certain types of AI-based solutions (LLM) may actually increase this because the boundaries of the product are often so much wider than ever before (if not invisible to the buyer). So, how to close this gap? Well, one way is to build a visual UI that showcases what’s possible with your API/feed/data solution. You take the buyer out of the conceptual space and make things concrete. So today, that’s what we dig into: when to consider adding a UI, how far you need to go with it, how you can use Copilot/AI agents to help customize these example implementations, and the benefits you might see.
Highlights / Skip to:- The challenges of selling API-based analytics and AI products (0:56)
- Why this topic matters right now (2:48)
- The Invisible Intelligence Gap that may be slowing your sales (3:34)
- Strategies for bridging the Invisible Intelligence Gap with a UI (user interface) layer (7:01)
- Client case study: the impact and results you may see adding a UI on top of your technical product (14:05)
- Signs that you should consider adding UI to your technical product (18:23)
- Leveraging humans’ highly developed visual system to help potential customers see the full value of your product (26:24)
- Conclusion (27:32)
