The goal isn't to build one perfect prototype quickly. The real strategic advantage of AI tools is the ability to generate three or four distinct variations of a feature in a short time. This allows teams to explore a wider solution space and make better decisions after hands-on testing.

When stuck on product direction, use a simple prompt like "add five new features." The AI acts as a creative partner, generating ideas you may not have considered. Even if most are discarded, this technique can spark inspiration and uncover valuable additions.

To avoid generic brainstorming outcomes, use AI as a filter for mediocrity. Ask a tool like ChatGPT for the top 10 ideas on a topic, and then explicitly remove those common suggestions from consideration. This forces the team to bypass the obvious and engage in more original, innovative thinking.

AI can generate hundreds of statistically novel ideas in seconds, but they lack context and feasibility. The bottleneck isn't a lack of ideas, but a lack of *good* ideas. Humans excel at filtering this volume through the lens of experience and strategic value, steering raw output toward a genuinely useful solution.

Standard LLMs often validate ideas to be helpful. Implement a structured "viability gate" skill with clear evaluation criteria (e.g., problem clarity, competition) designed to explicitly recommend abandoning unpromising projects, saving valuable time and resources.

Instead of using AI to generate final creative work, use it as a tool for anti-inspiration. Figma's CEO asks generative AI for the "10 cliche ways to say this" so he can consciously push beyond the obvious and predictable. This technique helps creators find novel angles and maintain a unique voice.

The tendency for generative AI to "hallucinate" or invent information, typically a major flaw, is beneficial during ideation. It produces unexpected and creative concepts that human teams, constrained by their own biases and experiences, might never consider, thus expanding the solution space.

Shift away from the traditional model of drafting content yourself and asking AI for edits. Instead, leverage the AI's near-infinite output capacity to generate a wide range of initial ideas or drafts. This allows you to quickly identify patterns, discard unworkable concepts, and focus your energy on high-level refinement rather than initial creation.

The path to a great name is paved with mediocre ones. The key is embracing quantity to find quality. Teams that stop after generating only 50-100 names get stuck, whereas a professional process might explore over 2,000 possibilities to uncover a true gem.