Tech Stack & Constraints

Asha nearly chose Pantry Pal's tools by asking an AI builder "what's the best stack?" She got a confident answer that ignored everything that mattered: how much she could spend each month, how long users would wait, and what she herself could maintain.

The rule

Write the limits down first; they choose most of the stack for you.

The limits that shape an AI product:

• Cost. An AI call is a running cost, paid every time the feature is used, not once. Work it out per user: calls per visit × visits per month × price per call.
• Latency. How long will the user wait? A dinner idea can take a few seconds if the screen shows progress; suggestions that appear as you type cannot.
• Quality. How good must the answer be? Larger models usually answer better but are slower and cost more per call; smaller ones are quicker and cheaper.
• Safety and privacy. What data do you handle, and which rules must never break?
• Your skills and time. Can you read, debug and maintain what gets built?

The last limit points to a durable rule of thumb: prefer popular, well-documented tools. AI coding tools have seen far more examples of widely used frameworks and tend to write better code for them, and when something breaks, you will find answers.

The shortcut

Price one user-month before you pick anything. Multiply the running cost out for one active user, then for the number you hope to reach, and hold it against your budget. Then check the wait the design demands.

Latency has cheap fixes too: show progress, display text as it arrives instead of all at the end, and reuse a saved answer when exactly the same request comes back.

Drills

Answer fast — trust the rule.

Remember

• Write the limits down first: cost, latency, quality, safety and privacy, your own skills.
• Price one user-month, scale it to your goal, hold it against the budget, then add alerts and caps.
• Trap: picking the biggest model or the trendiest stack before you know your limits.