Think about what that multiplier means in real money. A monthly inference bill that should be $50,000 becomes $500,000 to $1,000,000. Not because the technology is expensive, but because the architecture was chosen before the requirements were understood, and every downstream decision inherited that mistake.
What you should do instead
Focus on requirements, procedures, and desired outcomes to shape your architecture. Spend the time up front to understand what dynamic behavior the application actually needs, what data it touches, what latency and cost envelopes it must live inside, and what failure looks like.
Work through ideas and concepts honestly, with no vendor intellectual property on the table. When you do this, you’ll spend about one-fourth of the cost to get from idea to development, and the resulting system will cost roughly one-tenth as much to operate each month. Those numbers are not theoretical. They’re what I observe when teams do the architecture work properly, compared with when they start with a framework and backfill.
