The author emphasizes the importance of understanding your specific situation before trying to adopt others' practices or "best practices" in AI-powered assistant design. They suggest that without clear answers to questions about your company's size, customer base, goals, and desired properties for your assistant, it's unlikely that someone will be able to create a work-fluencing LinkedIn post that applies perfectly to you. The author advocates for secret shopping the competition by trying out various assistants and services, including those from competitors and within your own organization, to gather novel experiences and feedback. They propose a discussion process where everyone on the team collects and shares these experiences, allows personal preferences to bleed into choices, holds a total teardown of ideas, prioritizes winning concepts, and tests them further. The author believes that this cycle is essential for creating effective AI-powered assistant designs, but acknowledges that "good" and "success" are subjective and ephemeral, and that the key to success lies in having good conversations.