Intelligent Agents & Assistants

Adobe Research is developing intelligent agents and assistants to help Adobe’s customers with a wide range of tasks. Enterprise-focused agents offer a promising way to empower marketers to offer engaging customer experiences, educate people about products, and communicate timely offers. Natural language-enabled creative assistants could enable new users to become familiar with digital tools, teach valuable skills, and handle routine work. Agents and assistants may be voice or gesture driven, with awareness of content and context. 

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Maaz Bin Safeer Ahmad

Research Scientist

Soumyabrata Pal

Research Scientist

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DynaSaur: Large Language Agents Beyond Predefined Actions

Nguyen, D., Lai, V., Yoon, D., Rossi, R., Zhao, H., Zhang, R., Mathur, P., Lipka, N., Wang, Y., Bui, T., Dernoncourt, F., Zhou, T. (Oct. 9, 2025)

COLM 2025

PosterMate: Audience-driven Collaborative Persona Agents for Poster Design

Chan, G., Lee, D., Hsieh, G., Shin, D. (Sep. 28, 2025)

UIST 2025

EditDuet: A Multi-Agent System for Video Non-Linear Editing

Sandoval-Castañeda, M., Russell, B., Sivic, J., Shakhnarovich, G., Heilbron, F. (Aug. 11, 2025)

SIGGRAPH 2025

Project Get Savvy

For marketing teams, going from an idea to a full campaign can be time-consuming, difficult, and expensive. So Adobe Researchers collaborated with the Adobe Experience Manager (AEM) team to create Project Get Savvy. This experimental prototype lets marketers choose a team of AI agents who help them quickly move from ideation to a full marketing plan.

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We are looking for researchers, engineers, and interns to take our technologies to the next level. We're recruiting, and we would love to hear from you!