The Startup Ideas Podcast
The best businesses are built at the intersection of emerging technology, community, and real human needs.
“you have to be ambitious with this new model”
What It Means
AI models perform better when given complex, sophisticated requests rather than simple ones
Why It Matters
Most people underestimate AI capabilities and ask for too little, missing the model's true potential
When It's True
With state-of-the-art models like GPT-4, Claude, or Gemini that have broad training
When It's Risky
With weaker models, domain-specific tasks, or when you need precise control over outputs
How to Apply
Start with your ideal end state, not minimum viable version
Ask for multiple features at once rather than building incrementally
Push boundaries with complex requirements to discover model limits
Example Scenario
“Instead of 'make a simple login page,' prompt 'build a complete user management system with OAuth, role permissions, activity tracking, and admin dashboard'”
Related Knowledge
the biggest gap that I see with AI is people don't know the question to ask
Domain expertise matters more than AI tool knowledge - knowing what to ask is the key constraint
There is no physical way that a single person can develop and launch these
Modern mobile apps with professional quality animations, widgets, and custom designs require AI assistance for solo developers to build and maintain.
Everything is scalable. The right question is how hard would it be to scale?
All business models can theoretically grow; the real question is difficulty and resource requirements for scaling
software is difficult, websites are easy, landing pages are easy, but software is difficult
There's a fundamental complexity difference between static content and interactive software that AI tools don't eliminat