Sneak Peek: Adobe's Latest Projects Feature Advanced AI Agents
April 17, 2025
AnthonyGonzalez
40
Each year at Adobe Summit, attendees are treated to a sneak peek of Adobe's latest experimental innovations. Historically, about 40% of these sneak peeks make it to full release. Some of Adobe's most beloved features, like Generative Fill—initially known as Project Fast Fill—first debuted during these events. This year, many of the Sneaks finalists centered around AI agents, poised to revolutionize workflows for marketers and brands. Let's dive into what Adobe has in store for the future.
Project Perfect Context
Imagine understanding your customers like never before. Project Perfect Context aims to do just that by using an AI agent to integrate external insights, such as economic trends and global weather data, with first-party behavioral data within Adobe Customer Journey Analytics in the Adobe Experience Platform. This fusion allows teams to gain deeper insights into customer experiences by asking conversational questions that leverage both datasets. The result? Enhanced campaign performance tailored precisely to audience needs and wants.
Project Slide Wow
Creating slide decks can be a tedious task, especially for senior leaders tasked with distilling complex data into digestible presentations. Enter Project Slide Wow, which automates the entire process. It transforms data from Adobe Customer Journey Analytics into a compelling Microsoft PowerPoint presentation complete with visualizations and speaker notes. During the live demo, the presenter effortlessly converted a dataset on favorite ice cream flavors into an engaging, well-structured PowerPoint, complete with sections, charts, and a concluding slide with questions, all while maintaining a cohesive theme and natural flow.
Sabrina Ortiz/ZDNET
Project Site Leap
Switching content management systems can be daunting due to high costs and workflow disruptions. Project Site Leap simplifies this transition with an AI agent that imports content from existing brand pages into Adobe Experience Manager (AEM) and aligns it with new design mocks. In the demo, the presenter seamlessly migrated an open-source blog to AEM in seconds, then reproduced its design within AEM just as quickly. The AI agent even refreshed images and typography on request. If you want to overhaul the design entirely while preserving the content, you can upload a mock-up and let the agent work its magic.
Project Get Savvy
Launching a campaign involves numerous steps, from brainstorming to deployment. Project Get Savvy streamlines this process by leveraging various AI agents to assist marketers in real-time. These agents help create content and visuals, identify the best audience engagement strategies, and even develop personas that mirror the target audience for feedback, making campaign kickoffs more efficient and effective.
Project Frame Sense
Moving beyond agentic capabilities, Project Frame Sense focuses on using generative AI to deliver personalized experiences, particularly in the travel and hospitality sectors. By connecting customer insights from the Adobe Experience Platform with video content, marketers can generate highly personalized videos tailored to individual preferences. In the demo, an AI avatar of Sneaks host Eric Matisoff created a custom video for co-host Ken Jeong, factoring in Ken's food preferences for the trip.
Sabrina Ortiz/ZDNET
Project Panorama
Navigating user interactions on mobile apps can be complex due to the myriad elements like screens, offers, and messages. Project Panorama simplifies this by offering a visual map of the user's journey. This real-time map tracks performance metrics and user behavior, detailing each page and screen. Marketers can then deploy new offers and messages directly from the interface, optimizing user engagement without needing additional code.
Project Vision Cast
Collaboration between marketers and creatives can often be challenging. Project Vision Cast uses generative AI to bridge this gap by combining data insights with brand imagery to create preliminary interpretations of new product concepts. These rough drafts are then shared with Adobe's Project Concept, facilitating brainstorming and collaboration between teams.
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April 17, 2025
AnthonyGonzalez
40
Each year at Adobe Summit, attendees are treated to a sneak peek of Adobe's latest experimental innovations. Historically, about 40% of these sneak peeks make it to full release. Some of Adobe's most beloved features, like Generative Fill—initially known as Project Fast Fill—first debuted during these events. This year, many of the Sneaks finalists centered around AI agents, poised to revolutionize workflows for marketers and brands. Let's dive into what Adobe has in store for the future.
Project Perfect Context
Imagine understanding your customers like never before. Project Perfect Context aims to do just that by using an AI agent to integrate external insights, such as economic trends and global weather data, with first-party behavioral data within Adobe Customer Journey Analytics in the Adobe Experience Platform. This fusion allows teams to gain deeper insights into customer experiences by asking conversational questions that leverage both datasets. The result? Enhanced campaign performance tailored precisely to audience needs and wants.
Project Slide Wow
Creating slide decks can be a tedious task, especially for senior leaders tasked with distilling complex data into digestible presentations. Enter Project Slide Wow, which automates the entire process. It transforms data from Adobe Customer Journey Analytics into a compelling Microsoft PowerPoint presentation complete with visualizations and speaker notes. During the live demo, the presenter effortlessly converted a dataset on favorite ice cream flavors into an engaging, well-structured PowerPoint, complete with sections, charts, and a concluding slide with questions, all while maintaining a cohesive theme and natural flow.
Project Site Leap
Switching content management systems can be daunting due to high costs and workflow disruptions. Project Site Leap simplifies this transition with an AI agent that imports content from existing brand pages into Adobe Experience Manager (AEM) and aligns it with new design mocks. In the demo, the presenter seamlessly migrated an open-source blog to AEM in seconds, then reproduced its design within AEM just as quickly. The AI agent even refreshed images and typography on request. If you want to overhaul the design entirely while preserving the content, you can upload a mock-up and let the agent work its magic.
Project Get Savvy
Launching a campaign involves numerous steps, from brainstorming to deployment. Project Get Savvy streamlines this process by leveraging various AI agents to assist marketers in real-time. These agents help create content and visuals, identify the best audience engagement strategies, and even develop personas that mirror the target audience for feedback, making campaign kickoffs more efficient and effective.
Project Frame Sense
Moving beyond agentic capabilities, Project Frame Sense focuses on using generative AI to deliver personalized experiences, particularly in the travel and hospitality sectors. By connecting customer insights from the Adobe Experience Platform with video content, marketers can generate highly personalized videos tailored to individual preferences. In the demo, an AI avatar of Sneaks host Eric Matisoff created a custom video for co-host Ken Jeong, factoring in Ken's food preferences for the trip.
Project Panorama
Navigating user interactions on mobile apps can be complex due to the myriad elements like screens, offers, and messages. Project Panorama simplifies this by offering a visual map of the user's journey. This real-time map tracks performance metrics and user behavior, detailing each page and screen. Marketers can then deploy new offers and messages directly from the interface, optimizing user engagement without needing additional code.
Project Vision Cast
Collaboration between marketers and creatives can often be challenging. Project Vision Cast uses generative AI to bridge this gap by combining data insights with brand imagery to create preliminary interpretations of new product concepts. These rough drafts are then shared with Adobe's Project Concept, facilitating brainstorming and collaboration between teams.
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Researchers at Michigan State University have come up with an innovative way to use synthetic faces for a noble cause—enhancing the accuracy of image recognition systems. Instead of contributing to the deepfakes phenomenon, these synthetic faces are designed to mimic the imperfections found in real-
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