Every conversation in tech circles for the last 18 months has been some variation of:
“AGI is almost here.”
“AI will replace everything.”
“Once models get smarter, everything changes.”
But here’s the irony:
AGI didn’t disrupt SaaS.
Practical agents did it quietly.
And they did so without fanfare, without dramatic breakthroughs, and without requiring models that approach human intelligence.
Instead, they leveraged the strengths that already exist in today’s LLMs. Like reasoning, tool use, context management, and stepwise execution.The industry spent months expecting disruption to come from a leap in intelligence, when in reality, the real shift came from a leap in usability. As soon as LLMs could interact with tools, store and retrieve context, make decisions across multiple steps, and remain persistent across tasks, they stopped being assistants and started becoming workers.
And that change, subtle as it may seem, is what has started transforming how teams operate.
We call them Agents now.This is why agent building is rapidly becoming one of the most valuable capabilities a everyday employee can develop.
And we are proud to provide this ability to translate a workflow into full blown agents even without technical skills unlocks a level of operational leverage that was previously impossible.
As tools evolve and the barrier to building agents continues to fall, more people will be able to create, deploy, and refine their own automated workforce.
People telling agents what to do and agents talking amongst themselves how to do it.
If agent creation required nothing more than explaining a process, how much of the AGI debate do you think is misplaced compared to what autonomous agents can already do today?