VibeTasking is active in the execution and orchestration layer of the AI agent stack. They address the critical reliability gap that currently prevents agents from moving from experimental status to reliable production work. By building a system that can "record" and repeat successful agentic paths, they are championing a more deterministic approach to agentic workflows.
For builders in the ecosystem, VibeTasking represents a shift toward "path learning" rather than perpetual re-reasoning. They are particularly relevant to the conversation around LAMs (Large Action Models) and RPA-replacement, providing a middle ground where natural language handles the setup, but structured execution handles the work. Their focus on multi-app execution and concurrent task handling makes them a key example of how agents are evolving into persistent virtual workforces.
VibeTasking is positioning itself in the middle of a specific friction point: the gap between the creative flexibility of large language models and the rigid reliability of traditional automation. While the current trend in the AI agent market favors autonomous reasoning agents that attempt to figure out workflows on the fly, VibeTasking argues that this approach is fundamentally too brittle for enterprise work. Instead, they focus on a model where an agent learns a specific path and then executes it with total consistency.
Based in Seville, Spain, the company is led by Timotei Molnar, who previously co-founded XtremeAI before its acquisition by Woflow. This background is relevant because XtremeAI dealt with high-volume data extraction and structured output—problems where accuracy is not optional. At VibeTasking, Molnar and co-founders Miguel Esteban and Adrián López Gil are applying that same focus on reliability to a broader category of general computer tasks.
The core of the product is the Task Builder. This is an agent that assists the user in defining the specific steps, tools, and integrations required for a job. Once the user explains the task by way of a chat interface that mimics a conversation with a colleague, the agent maps the execution path across various web applications. Crucially, once the path is verified, the system memorizes that sequence. This approach attempts to solve the hallucination problem that plagues agents like Rabbit's R1 or early iterations of AutoGPT, where the model might perform a task correctly once but fail on the second or third attempt due to minor UI changes or probabilistic drift.
VibeTasking is a bridge between the chat-based interaction of general AI and the functional utility of a virtual employee. The system is designed to work across existing tools like spreadsheets and documents, handling the manual labor of repetitive digital coordination. By focusing on orchestrating results rather than just managing a list of tasks, the platform targets users who find themselves stuck in manual data entry or repetitive operational roles.
In the competitive landscape, VibeTasking sits between low-code automation tools like Zapier and the newer wave of action-oriented AI models. Unlike Zapier, which requires the user to manually architect every trigger and action, VibeTasking uses natural language to discover those connections. Unlike generic agents, it prioritizes a philosophy of repeating what works perfectly. This puts them in the company of startups like Skyvern or MultiOn, though with a distinct emphasis on creating a stable, autonomous workforce rather than a personal assistant for one-off web browsing.
The company is in its early stages, having recently raised a pre-seed round. Its success will likely depend on how well its agents can handle the inherent fragility of web-based automation—the last mile problem where a website update breaks the recorded path. By framing their agents as a workforce that can be supervised rather than just a tool that is used, VibeTasking is betting that enterprise customers are willing to trade some autonomous spontaneity for the guarantee that the job gets done the same way every time.
An AI agent that learns and executes deterministic paths for computer-based tasks.
VibeTasking is hiring.