Asking users for solutions yields incremental ideas like "faster horses." Instead, ask them to tell detailed stories about their workflow. This narrative approach uncovers the true context, pain points, and decision journeys that direct questions miss, leading to breakthrough insights about the actual problem to be solved.

To build truly effective agents, adopt a "founder's level of service" mindset. This involves an intensive discovery process to become a temporary expert in the client's business, culture, and brand voice. This deep, meticulous care ensures the final AI system is perfectly aligned with the client's intentions.

Customers describe an idealized version of their world in interviews. To understand their true problems and workflows, you must be physically present. This uncovers the crucial gap between their perception and day-to-day reality.

Early enterprise customers won't invest time to become proficient with a complex data tool. Founders must join their meetings, operate the software for them, and surface insights to demonstrate value. This manual "data monkey" role is crucial for driving initial adoption.

While customer feedback is vital for identifying problems (e.g., 40% of 911 calls are non-urgent), customers rarely envision the best solution (e.g., an AI voice agent). A founder's role is to absorb the problem, then push for the technologically superior solution, even if it initially faces resistance.

Brainstorming cannot reveal the true friction in your customer experience. Following JetBlue's example, leaders must regularly become their own customers. This practice uncovers how high-level decisions inadvertently create flaws in the customer journey that are invisible from the boardroom.

Creating a genuine brand voice requires deep immersion, not just a brief. By spending months interacting with dozens of employees across all departments, a consultant can uncover the shared language and core truths that form an authentic, resonant voice.