Google AISep 8, 2026
5 Surprising Realities of the New Googlebook Era
From "Intelligence is the new spec" to the fate of the Chromebook, here are five things that reveal just how big a bet Google is making with the Googlebook.
Google Labs introduces the "Agent Step" in Opal. Turn static AI processes into interactive, agentic workflows with long-term memory and dynamic routing.
The boundary between tools and partners just blurred. Google Labs announced a massive upgrade to Opal, shifting its capabilities from static, step-by-step processes to dynamic, agentic intelligence.
If you’ve been using Opal to build custom AI workflows, the new "Agent Step" is about to change everything. Instead of you manually picking every model and setting every rule, Opal can now think for itself to help you reach your goals.
What is an Agentic Workflow?
In the past, an Opal workflow was linear: Step A leads to Step B. If you wanted to build a storybook, you had to pre-define the page count and questions.
With the new Agent Step, Opal becomes proactive. It understands your ultimate objective and autonomously decides which tools and models it needs to recruit to get the job done.
Your Opals now grow smarter the more you use them. Whether it's your brand identity, your interior design style, or a recurring shopping list, the agent can store information across sessions.
The agent can now follow multiple paths based on custom logic. You define the criteria, and the agent intelligently switches to the correct next step once those conditions are met.
Opal isn't just a one-way generator anymore. The Agent Step can initiate a conversation with you to gather missing details or offer creative choices before moving to the next stage of a plan. It transforms the experience from a request-and-receive format into a true collaboration.
Take interior design as an example.
Google is bridging the gap between automation and control. New users will find that Opals "just work" because the agent is smart enough to self-correct. Power users, meanwhile, still have access to fixed steps for high-precision prototyping.
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