Max F.

I've spent a lot of time thinking about the difference between testing a product and validating it.

When you're building software, there are so many things you can measure. Does the functionality work? Are the calculations correct? Can users complete the workflow? Are the security controls working as intended?

Those are important questions, and you can spend months getting them right.

But there's another question that technical testing can't fully answer:

I was reading up on API spend limits for a post, and one detail stuck with me.

On Anthropic s standard tiers there s a monthly spend cap ($500 on the lowest). When you hit it, requests come back as a 429 that looks like a rate limit, but with no retry-after header. Automatic retries just keep failing until the 1st. OpenAI s hard spend limits return 429s too.

Run it on an ordinary month: $280 spent by day 10, about $32 a day. That crosses a $500 cap on day 17. The invoice would have said around $920, but the app stops working almost two weeks before anyone opens it.

Do you know which day your app would hit its limit, or do you find out when users start reporting errors?

Our e-commerce catalog had hundreds of pages with identical manufacturer-provided two-sentence descriptions. Search traffic stalled because search engines could not find context to rank us higher.

Of rewriting every page manually we built a template that combined customer review highlights and common buyer questions into the product descriptions block. We added use cases and dimensions to every single item.

Organic traffic grew by thirty-four percent over three months as search engines started indexing the user-focused content. Shoppers also spent time browsing each page.

Stop relying on supplier text, for your product descriptions. Add user insights and specific use cases to satisfy search intent.