TLDR: Tessa, an innovative artificial intelligence coworker, has officially launched, promising to revolutionize workplace efficiency by converting natural language into seamless AI workflow automation. Developed by Mo Nasir and Harvey Hu, Tessa is designed to understand and execute complex tasks across various formats, including text, images, and forms, offering a new level of autonomy and precision in business processes.
A groundbreaking artificial intelligence coworker named Tessa has officially been unveiled, poised to redefine productivity by translating everyday language into robust AI workflow automation. Launched on September 13, 2025, Tessa aims to streamline tasks and enhance efficiency across diverse professional environments.
Unlike conventional generative AI chatbots or basic task automation tools, Tessa boasts the ability to comprehend and process information from text, images, and forms with human-like understanding. Users can simply issue commands or ask questions in natural language, eliminating the need for technical jargon or coding. Tessa then meticulously breaks down these requests into manageable steps, executing them autonomously.
The vision behind Tessa is the brainchild of two distinguished founders: CEO Mo Nasir and CTO Harvey Hu. Mo Nasir, with over four years of experience in self-driving car development at NVIDIA, infused Tessa with a core design philosophy centered on intelligent systems that learn and evolve. Harvey Hu, a former machine learning engineer at Google and TikTok, leveraged his expertise in recommendation algorithms, previously serving billions of users, to build Tessa’s sophisticated architecture. Their shared realization was that AI agents must not only execute programmed commands but also continuously learn and improve, mirroring human adaptability in the workplace.
Tessa’s capabilities extend to complex, multi-step processes. For instance, a user could instruct, ‘Hey Tessa, reserve a table for five around 7:00 PM next Friday at Teleferic Barcelona,‘ and Tessa would independently navigate online reservation systems, complete the booking, and notify the user upon completion. The system is designed for parallel processing, handling multiple tasks simultaneously without requiring constant human oversight. While operating autonomously, Tessa also offers users the flexibility to pause workflows or intervene at any point, ensuring a balance between automation and human control.
Before initiating any task, Tessa performs thorough cross-referencing and information verification. It refines search parameters and seeks clarification for any ambiguities through dialogue with the user, guaranteeing accurate and reliable results.
Real-world applications of Tessa are already demonstrating its transformative potential. URLtoSpeech.com, an innovative platform powered by Tessa, converts any website into a high-quality audio podcast. Users input a URL, and Tessa automatically processes the text content into natural, human-like speech, enabling professionals to consume articles or reports on the go. Additionally, Tessa is collaborating with a county in New York state to automate the drafting of legislative resolutions, significantly reducing manual overhead in document-intensive government operations. By integrating Tessa into their workflows, organizations can convert cumbersome processes into smooth, reliable, and observable operations.
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One of Tessa’s most significant advantages is its accessibility. It requires no specialized technical skills; if you can communicate, you can utilize Tessa. This natural language interface allows users to offload routine and time-consuming tasks, freeing them to concentrate on more strategic initiatives. Tessa promises to eliminate the need for constant monitoring of tedious processes or endless hours spent on information retrieval and bookings, truly acting as an indispensable AI coworker.


