General tech coverage by VentureBeat. May simplify or sensationalize—check their sources.
Google's Opal just quietly showed enterprise teams the new blueprint for building AI agents
For the past year, the enterprise AI community has been locked in a debate about how much freedom to give AI agents. Too little, and you get expensive workflow automation that barely justifies the...
VentureBeat··~3 min read
2-Minute Brief
According to VentureBeat: For the past year, the enterprise AI community has been locked in a debate about how much freedom to give AI agents. Too little, and you get expensive workflow automation that barely justifies the "agent" label. Too much, and you get the kind of data-wiping disasters that plagued early adopters of tools like OpenClaw. This week, Google Labs released an update to Opal , its no-code visual agent builder, that quietly lands on an answer — and it carries lessons that every IT leader planning an agen
Google's Opal just quietly showed enterprise teams the new blueprint for building AI agents
TLDR
For the past year, the enterprise AI community has been locked in a debate about how much freedom to give AI agents. Too little, and you get expensive workflow automation that barely justifies the...
2-Minute Brief
According to VentureBeat: For the past year, the enterprise AI community has been locked in a debate about how much freedom to give AI agents. Too little, and you get expensive workflow automation that barely justifies the "agent" label. Too much, and you get the kind of data-wiping disasters that plagued early adopters of tools like OpenClaw. This week, Google Labs released an update to Opal , its no-code visual agent builder, that quietly lands on an answer — and it carries lessons that every IT leader planning an agen