Beyond the AI bill.
What does your business actually need from AI—and what are you paying for? I sit down with Sai to explore the decisions behind building a business around AI costs.
Then we go beyond the bill. Just because you can build something with AI, does that mean you should? We talk about researching a problem, choosing a suitable tech stack, and what Sai looks for in people who can build a solution from beginning to end.
Inside the conversation
Match the model to the task
Sai explains where he sees room for smaller models in everyday business workflows, and why preserving context matters when splitting a request into smaller tasks.
Ask what savings are measured against
I ask how the comparison is calculated. Sai describes a baseline drawn from a company’s regularly used model and past usage—a starting point for your own questions.
Research before opening the builder
Sai recommends studying competitors, their offers and prices, and the cost of operating your solution before drawing up a roadmap.
Choose technology around the product
A familiar framework, or an AI tool’s suggestion, is not enough on its own. Sai explains why the solution’s needs should guide the choice.
Show that you can finish something useful
When discussing what he looks for in builders, Sai values an example that works from beginning to end and can be deployed.
Try this before your next build.
Write down the problem, who has it, and how they solve it today. Talk to someone who has that problem before asking AI to build your solution.