Founder video: a discovery lesson
A founder lesson from discovery calls. Early on, I assumed the bottleneck was the agent. Smarter models, better prompting, better tools — that was the plan everyone was chasing. Then I started talking to the developers actually shipping AI products, and a pattern showed up fast. Nobody said "my agent isn't smart enough." They said: "Our product works great for humans. The second an agent touches…
A founder's perspective on a crucial discovery from development conversations reveals a fundamental misunderstanding about the obstacles in AI product implementation. Initially, the focus was on enhancing the capabilities of AI agents through smarter models, improved prompting techniques, and advanced tools. However, direct interaction with developers actively deploying AI solutions exposed a different reality.
The prevailing issue was not the inadequacy of the AI agents themselves but rather the compatibility of these agents with existing software interfaces. Developers consistently reported that while the agents were functional, the integration with the software's user interface was fraught with challenges. The software inherently communicates in a singular language, namely the user interface, which poses significant barriers when an agent is introduced.
This revelation pivoted the focus from developing more sophisticated agents to constructing a more seamless interface that bridges the gap between the developers' existing software and the agents they intend to utilize. The strategy is to retain the initial approach of engaging directly with the software developers for insights and to iteratively refine the solution based on these learnings.
The ongoing habit of engaging with builders to glean firsthand feedback remains integral to the development process. This approach underscores the importance of understanding the intricate relationship between AI agents and software interfaces, emphasizing that the true bottleneck often lies not in the agent's intelligence but in the software's ability to accommodate such agents.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.