The Peak AI team rapidly cycled through ideas by attempting to sell the vision before building anything. A lack of buyer excitement was a clear signal to abandon an idea within 2-3 weeks, avoiding wasted engineering effort.

To avoid "innovation theater," front-load the financial viability assessment to the very first stage gate. By asking about margins and P&L impact upfront, companies can kill 80% of unworkable, buzzword-driven projects before investing significant time and emotional energy.

Before investing in robust API connections, test a workflow's value with the simplest possible version, even if it's held together by screenshots and voice commands. If you don't consistently use the 'janky' version for a week, the idea isn't valuable enough to build properly, saving significant time and effort.

Before pursuing a business idea, run it through a simple filter. Ask: 1) Is AI already replacing this? 2) Is the industry shrinking? 3) Is it easier to lose money than to make it? Answering 'yes' to any of these questions is a strong signal to abandon the idea and find a different vehicle for success.

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.

Most PMs work on existing products, not new ones. Use a specialized LLM skill, like 'Vet a Feature,' to rigorously analyze new feature ideas against anti-patterns and opportunity costs before committing development resources, ensuring you work on the highest-impact items.

The ease of AI development tools tempts founders to build products immediately. A more effective approach is to first use AI for deep market research and GTM strategy validation. This prevents wasting time building a product that nobody wants.

Unlike traditional software, AI prototypes can be built almost instantly. This requires a mindset shift: if a project doesn't demonstrate tangible value on its very first day, it should be abandoned immediately. Sticking with a weak AI concept leads to costly slow failure.

The fastest way to de-risk a biotech concept is to actively try to 'kill' it. By pitching to experts and seeking critical feedback in competitions, founders can expose fatal flaws early. If the idea is invalidated, it saves years of wasted effort; if it survives, it's significantly stronger.