Ori Wasn't Built to Answer Your Questions Faster. It Was Built Because Faster Answers Were Never the Bottleneck.
A great deal of AI development optimizes for speed — faster answers, faster summaries, faster completion of a task that would otherwise take longer by hand. This is a real and valuable kind of progress for a large category of problems. It is not the problem Ori is built around.
For questions about one's own recurring behavior, speed was never the bottleneck. Nobody fails to change a long-running pattern because the answer took too long to arrive — most people who eventually recognize a pattern in themselves could have received the same explanation years earlier and it would not, by itself, have been enough. Recognition is the bottleneck, not information delivery time.
Recognition doesn't accelerate the way information retrieval does. It requires attention held across enough instances that a structure becomes visible on its own terms, at whatever pace that actually takes — which is often slower, not faster, than a single well-phrased answer.
Ori is built around the actual constraint rather than the one that's easiest to optimize for. That tradeoff — slower, cumulative attention over faster, one-shot answers — is a deliberate design choice, not an oversight.
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Momar Lissa Ndiaye ("MLN") is the Founder & CEO of weyoga Inc., a Delaware company. — weyoga.ai · mln@weyoga.ai