Tech News
← Back to articles

What’s inside Genspark? A new vibe working approach that ditches rigid workflows for autonomous agents

read original related products more articles

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more

Vibe coding has been all the rage in recent months as a simple way for anyone to build applications with generative AI.

But what if that same easy-going, natural language approach was extended to other enterprise workflows? That’s the promise of an emerging category of agentic AI applications. At VB Transform 2025 today, one such application was on display with the Genspark Super Agent, which was originally launched earlier this year.

The Genspark Super Agent’s promise and approach could well extend the concept of vibe coding into vibe working. A key tenet of enabling vibe working, though, is to go with the flow and exert less control rather than more over AI agents.

“The vision is simple, we want to bring the Cursor experience for developers to the workspace for everyone,” Kay Zhu, CTO of Genspark, said at VB Transform. “Everyone here should be able to do vibe working… it’s not only the software engineer that can do vibe coding.”

Less is more when it comes to enterprise agentic AI

According to Zhu, a foundational premise for enabling a vibe working era is letting go of some rigid rules that have defined enterprise workflows for generations.

Zhu provocatively challenged enterprise AI orthodoxy, arguing that rigid workflows fundamentally limit what AI agents can accomplish for complex business tasks. During a live demonstration, he showed the system autonomously researching conference speakers, creating presentations, making phone calls and analyzing marketing data.

Most notably, the system placed an actual phone call to the event organizer, VentureBeat founder Matt Marshall, during the live presentation.

“This is normally the call that I don’t really want to do by myself, you know, in person. So I let the agent do it,” Zhu explained as the audience listened to his AI agent attempt to convince the moderator to move his presentation slot before Andrew Ng’s session. The call connected in real-time, with the agent autonomously crafting persuasive arguments on Zhu’s behalf.

... continue reading