From Chatbots to Creative Engines: What Gemini Omni and 3.5 Are
Gemini Omni and Gemini 3.5 are advanced multimodal AI models that accept video, images, audio, and text as input, respond in natural language, and coordinate complex actions, enabling teams to build creative tools, production-ready agents, and intelligent systems that go far beyond traditional text-based chatbots. Announced at Google I/O 2026, Gemini Omni centers on creation: it can generate high-quality video grounded in world knowledge, then refine it through conversation. Gemini 3.5 focuses on reasoning and action, with 3.5 Flash designed for long-horizon tasks that require planning, coding, and step-by-step problem solving. Together, they point to a future where a single AI can understand context across media, keep track of what happened earlier, and respond with outputs that feel coherent over time. These capabilities open the door to new classes of apps in design, media, engineering, and operations.
Conversational Video Editing with Gemini Omni
One of the most striking Gemini Omni capabilities is conversational video editing. You start from a filmed or generated clip, then guide changes using plain English instructions. Each instruction builds on the last, so the model remembers earlier edits, maintains character consistency, and keeps physics and lighting believable across scenes. You can tweak one element—like changing the color of a character’s jacket—or reimagine the entire environment while preserving continuity with what came before. Because Omni can take video, images, and text as input, it can align edits with references such as storyboards or product photos. According to Google’s Gemini team, Omni “can create anything from any input, starting with video,” which turns raw footage into a flexible canvas for experimentation. For creators and marketing teams, this means faster iteration, fewer reshoots, and a more fluid bridge between concept, rough cut, and polished story.
Multimodal Workflows: From Screenshots and Audio to Finished Outputs
Gemini Omni’s multimodal AI design encourages workflows where multiple media types feed into a single creative or analytical task. A designer might give Omni a set of UI screenshots, spoken notes about usability issues, and a short script; Omni can then propose a new layout and generate a video walkthrough grounded in those inputs. Because the model treats images, audio, video, and text as first-class signals, it can tie visual details to spoken requirements and written constraints without manual translation between tools. Editing stays conversational: you can ask Omni to slow down a transition, highlight a feature, or keep a character’s position consistent across new shots. This level of media-aware context helps teams move from rough references to finished assets in fewer steps, with the AI acting like a collaborative editor that understands both the visuals and the story they should communicate.
Gemini 3.5 Flash and Long-Horizon Intelligent Agents
Where Omni focuses on rich media creation, Gemini 3.5 Flash centers on intelligent action. It is tuned for agents that manage complex, long-horizon tasks—processes with many steps, dependencies, and decisions over time. In practice, that can mean coordinating multi-phase coding projects, guiding users through detailed troubleshooting flows, or monitoring changing data while taking appropriate follow-up actions. The model combines reasoning with the ability to call tools and APIs, which lets developers plug it into existing systems rather than treating it as a stand-alone chatbot. Because it is built for frontier performance in agents and coding, 3.5 Flash can keep track of context over long sessions and revise earlier plans as new information appears. This makes it a strong fit for production applications where reliability, traceable decisions, and sustained problem solving matter as much as natural conversation.
Beyond Text: New Patterns for Production AI Applications
Taken together, Gemini Omni and Gemini 3.5 invite teams to rethink what AI interactions can look like in production. Omni makes it natural to build tools where users talk to their media: editing scenes by speaking, annotating with sketches, or combining product shots and scripts into explainer videos. Gemini 3.5 Flash, meanwhile, enables agents that operate across longer workflows, from codebases and ticket queues to documentation and analytics dashboards. Instead of a static chatbot, you get systems that can understand what they see and hear, remember past steps, and take actions on your behalf. For developers, the key Gemini 3.5 features are its long-horizon reasoning and integration with actions; for creators, the key Omni draw is that every video becomes “the starting point for something you never could have filmed yourself.” These nine demos are a preview of how those patterns can scale in real products.
