#Automation

An algorithm is a grimoire of spells to manipulate data magically, yet its sanctity often comes paired with unfathomable complexity. Promising speed, it seduces developers into debugging hell. Its essence lies in the irony of chasing efficiency while spawning new bottlenecks.

Artificial intelligence is hailed as tomorrow’s omniscient oracle, yet today it labors through battles of data and bugs as a so-called universal problem-solver. It carries the lofty dreams of its creators and the messy realities of the workplace, occasionally performing inexplicable antics that startle its users. Promising brilliance, it delivers cold responses and cryptic errors, ultimately embodying the paradox of outsourcing intelligence only to burden human hands.

Automation is the magical act of entrusting human labor to machines. It is a masterclass in shifting responsibility onto cold circuits, declaring all mishaps "machine faults." Behind the promise of convenience lies humans forever hunting for the elusive remote switch. Ultimately, it becomes a ceremony of waiting for the day when nothing needs touching and everything still stops.

A workflow is a train of tasks that someone designed, another someone vaguely operates, and which inevitably becomes an endless queue of pending approvals. In theory it promises efficiency and transparency; in practice each added step accelerates the headache. The flow decided in meetings lingers quietly in Excel sheets until it ignites unexpectedly. Its secret parameter, unwritten in any manual, is the boss's mood, capable of halting everything at will. It is the modern epic of wandering through a maze of procedures.