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.

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.

OpenAI models are central to this system. GPT‑4.1 handles research and structured outputs with improved instruction following and a 1M-token context window, allowing agents to process long documents in full without truncation. Strict JSON output is designed to ensure reliably structured responses for downstream tools, while automatic prompt caching reduces latency and API costs which is especially valuable in multi-step workflows. For image generation, the platform uses the GPT‑image‑1 model via the OpenAI API.