No-code personal agents, powered by GPT-4.1 and Realtime API

Genspark⁠(opens in a new window) is the company behind Super Agent, a no-code, customizable AI agent that helps users automate real-world tasks like making a phone call, generating a presentation, or turning a recipe into a short video.

Super Agent uses OpenAI multimodal models and Realtime API to enable tasks across text, image, and voice, allowing users to automate complex workflows with simple prompts, no coding required. The system took off: in just 45 days, Super Agent reached $36M in ARR, driven by strong user demand. 

“OpenAI has been supporting Genspark from the beginning. Their APIs didn’t just power our models, they helped our 20-person team build, launch, and scale faster than anyone thought possible.”

Kay Zhu, CTO and Co-founder, Genspark

Moving beyond search to agents

Genspark initially launched as an AI search engine designed to help consumers and professionals synthesize and structure information. By late 2024 user behavior started shifting. Users didn’t just want answers. They wanted outcomes. Instead of “summarize this market,” they were asking for pitch decks, video scripts, and follow-up emails. At the same time, model capabilities were rapidly expanding. Longer context windows, stronger reasoning, and new multimodal APIs made it increasingly possible to automate entire workflows, not just retrieve information.

That shift in user demand and model readiness led the team to make a bold move: in April 2025, Genspark pivoted away from search and fully embraced agentic AI.

Building a no-code autonomous agent with OpenAI multimodal models

In April 2025, Genspark launched Super Agent: a fully autonomous, no-code assistant that can make phone calls, design slides, generate videos, and more. Under the hood, the platform orchestrates nine specialized large language models and more than 80 integrated tools, dynamically assigning each task to the best-suited component.