5d • General Discussion 💬
A Question About Signal vs Noise in AI Automation
One thing I’ve been thinking about lately is how noisy the AI automation space has become, not in a bad way, but in a challenging way.
Every week there are:
new tools
new frameworks
new “best practices”
new ways people say this should be done
And while access to information is great, it also makes it harder to trust your own judgment and stick with one direction long enough to see real results.
Sometimes progress doesn’t stall because we’re doing the wrong thing, but because we keep second-guessing ourselves too early.
So I’m curious to hear from others here:
- What do you personally use as a signal that you’re on the right track, before results are obvious?
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A Question About Signal vs Noise in AI Automation
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