Stop obsessing over which AI your team uses
With so many AI tools available, spending energy debating which model is 'best' is a distraction. The smarter move is to build workflows that are not tied to any single AI, so swapping tools does not break your output.
What actually matters is having a clear standard for evaluating quality, not which model produced it. A business that can deliver consistent results regardless of the underlying AI tool is more resilient than one optimized for today's favorite.
Key points
- Design workflows that work with any AI tool, not just one specific model
- Focus on output quality standards rather than model selection
- AI tools change rapidly — flexible processes outlast any single provider
- Consistency of results matters more than which tool produced them
Quick term guide
- traction
- Proof that real people or companies are using or paying for a product.
- workflows
- The specific order of steps taken to finish a piece of work.
- Standard
- A basic paid level used as the comparison point.
- business
- An activity where you provide value to others in exchange for money.
- provider-agnostic
- A system or workflow that works the same way regardless of which company's AI tool you use
- processes
- Programs or tasks that are currently running on a computer.
- implementation
- The step where a plan is turned into working code.
- consistency
- The act of continuing to work on something regularly over a long time.