The real bottleneck in AI isn’t speed, it’s certainty

Most teams still obsess over making AI faster.

Faster inference.
Faster responses.
Faster loops.

But here’s the pattern we keep seeing in production:

• Speed isn’t what breaks first.

• Certainty does.

You get outputs that look right until they aren’t.
Agents that seem stable until one small assumption collapses.
Workflows that run perfectly until the environment shifts by an inch.

people build systems that move quickly &
then they realize they never built the system that knows when to slow down.

Curious to hear from PH,
What’s the moment you realized speed wasn’t your real constraint?