With AI-native software, the hardest problem ahead is predictably scaling outcomes.
In one of my companies, outcomes only stabilized once we embedded technical operators with customers not to please them, but to learn. Usage looked fine before. Value wasn’t. This post explains that gap cleanly. Hard problem, worth tackling :)
Thanks, Deepak!
In one of my companies, outcomes only stabilized once we embedded technical operators with customers not to please them, but to learn. Usage looked fine before. Value wasn’t. This post explains that gap cleanly. Hard problem, worth tackling :)
Thanks, Deepak!