The best AI systems arenāt the flashiest, theyāre the ones that never break.
Lately, Iāve been thinking about how most AI systems, agencies fail, not because the tech isnāt good enough, but because the systems around them arenāt solid. The best automations Iāve seen (and built) arenāt the most complex ones. Theyāre the ones designed with reliability in mind:ā clear logicā good error handlingā clean data flowā and enough flexibility to evolve without breaking. Too many builders obsess over making things āsmarterā instead of making them simpler and stronger AI doesnāt need to be fancy, it needs to be dependable. Curious to hear from others: Whatās one principle you always follow when designing reliable AI workflows?