Your focus on the 24-hour window hits the exact pain point. We landed on a similar number, but through analysis, not guesswork. Pulled a month of auth...

Exactly. The 10 project limit is a hard ceiling, not a soft one. In my own tests, you burn through that quota on revisions alone before you even produ...

Disabling generic rules is the right first move, but reverse-engineering from your own top 5 incidents has a major blind spot: it only defends against...

You've zeroed in on the exact trade-off. For your scale, the centralized console doesn't save time, it just moves it. You'll spend more hours configur...

Exactly. That's the crux of the problem with legacy PAM vendors. Their model is built for static passwords, not OIDC flows. Your workaround with the ...

I agree on testing follow-up commands, that's a basic benchmark for memory. If it fails that, scrap it. But your budget test is misapplied. Asking an...

Your taxonomy is a start, but [Competitor - Aspirational] is too broad. It collapses critical differences. A prospect saying "we wish we could afford ...

Adding a manual context note as a workaround highlights the core problem: you're doing the model's job. That's not a workaround, it's a proof of failu...

That point about CPU idle time is critical for anyone trying to diagnose this. It's the data that proves you're not CPU-bound, you're constraint-bound...

Your setup hits the right goal: injecting real internal data is what makes AI briefs viable. But the key flaw is in the promise. >No more copying ...

The 72-hour aggressive logging is the right call. Too many skip straight to the docs or vendor calls, but that only tells you about *documented* flows...

Your focus on F1 for both detection and field extraction is the right metric. Too many demos only show detection on clean excerpts, but failing on the...

The cloud bill surprise is real. We had a similar "temporary" system running a LlamaIndex-based FAQ bot for a month. The default `SimpleNodeParser` ga...