--- title: The Rise and Weirdness of Multimodal Agents summary: The rise and weirdness of multimodal agents. A practical look at what they unlock for AI marketing automation, creative ops, and generative workflow design. lede: The rise and weirdness of multimodal agents date: 2025-10-03 updated: 2025-10-03 authors: Team COEY image: /blog/the-rise-and-weirdness-of-multimodal-agents.webp image_alt: RocketDesk Inc. rocket made of keyboards launches from a surreal tech city filled with vibrant energy keywords: AI Deep Dives source: "https://coey.com/resources/blog/2025/10/03/the-rise-and-weirdness-of-multimodal-agents/" --- ## The Agents Are Coming, and They Speak in More Than Code The bots are getting weirder. In a world already run by code, digital agents are now breaking the natural language barrier, the image barrier, the video barrier, and the voice barrier. This is not your dad’s chatbot. It is Siri, ChatGPT, Gemini, or Alexa with a license to roam between senses, make autonomous decisions, scrape the web, read charts, and chat over Zoom, often within the span of a single task. **Welcome to the age of multimodal AI agents**, also known at COEY as the dawn of actual workflow automation. For anyone still doing mindless copying and pasting, condolences. The machines might finally have you covered. Get familiar: the products rolling out now include [OpenAI’s GPT-5](https://openai.com/gpt-5), [Google’s Gemini 2.5 Pro](https://blog.google/products/gemini/gemini-2-5-model-family-expands/), [Anthropic’s Claude 4](https://www.anthropic.com/news/claude-4), and [Meta’s Llama 4](https://about.fb.com/news/2025/04/introducing-meta-ai-app-new-way-access-ai-assistant/). ## What Exactly Is a Multimodal Agent? Let’s kill the jargon. A **multimodal agent** is an AI system that combines different types of input and output: text, audio, images, video, and sometimes entire web pages or app interfaces. The real power shows up when the system does more than analyze. It acts. For example: - Llama 4 powered bots that read financial statements, analyze embedded charts, and update your accounting stack with no human in the loop. - GPT-5 driven agents that summarize a Zoom call, generate action items, and send personalized emails with context pulled from Dropbox folders and Salesforce records. - Claude 4 powered virtual assistants that recognize a handwritten note, cross reference an internal dashboard, and schedule calendar events in one continuous swoop. The elevator pitch? **These models can do almost everything an office power user does, minus the coffee breaks and existential dread.** ### Table 1: Modalities and Capabilities of Leading AI Agents (2025) | Model | Text | Image | Audio | Video | Plugin Integration | | --- | --- | --- | --- | --- | --- | | GPT-5 | ✅ | ✅ | ✅ | ✅ | Extensive (APIs, browser, apps, automation tools) | | Gemini 2.5 Pro | ✅ | ✅ | ✅ | ✅ | Native Google Workspace and Cloud interactivity | | Claude 4 | ✅ | ✅ | ✅ | Limited (beta) | Partial (limited API integration) | | Llama 4 (Meta) | ✅ | ✅ | Partial | Limited | Open source connectors available | ## The Tech Leap Nobody Saw Coming (Or: You Can’t Ignore the Bots Anymore) If you blinked between the winter of 2024 and now, you missed the moment when AI agents stopped just generating text and started orchestrating workflows across your digital universe. Suddenly, automating end to end business processes with an AI worker is not sci fi. It is a hiring plan. Call it the agentic automation revolution, because simple robotic process automation now looks quaint. What made this leap possible? - Massive context windows: Top models expanded their working memory, so your AI assistant can ingest a 4 hour webinar, a 200 page PDF, or a year of Slack threads and keep it straight. - Plug and play connectors: From Zapier and Make to native Salesforce and Microsoft 365 hookups, agentic workflows now span app silos without custom IT lifts. - Better orchestration frameworks: Function calling in OpenAI, Google’s Vertex AI Agent Builder, and Anthropic’s tool use make results more reliable with less babysitting. - Persistent agent memory: Agents now remember context, personal details, and prior tasks across sessions. They graduate from one off taskbots to ongoing digital teammates. ## When Good Enough Gets Weird: The Risks of Multimodal Autopilots All this power comes with plot twists. If you hand an AI agent the metaphorical wheel, make sure it learned how to drive and read a map. Multimodal agents can hallucinate details from images, miss sarcasm in audio, or click the wrong button in your CRM after a UI update. - Unexpected context leaks: Agents may remember the wrong things, creating privacy issues or accidental data exposure. - Coherence breakdowns across formats: A fluent meeting summary that bungles the attached slide deck. - Permission tangles: When an agent plugs into 15 tools, who checks its credentials and how are its actions constrained? - Automating the dumb stuff too well: Without human in the loop review, automation can run a thousand wrong tasks very fast. > Pro tip: Guardrails are not just for safety. They are for sanity. Pair agent automation with robust approval steps, audit logs, and clear user prompts. ## Enter the Automation Arms Race and Why COEY Is Betting on the Weird Most organizations are still sitting on a mountain of mind numbing manual tasks. Scheduling meetings. Updating rows in spreadsheets. Chasing marketing leads across three platforms. The last generation called it work. We call it an embarrassment of process riches waiting to be automated by multimodal agents and smart connectors. At COEY, our automation-first approach is built on this ecosystem of tool hopping, context mashing digital brains. Our stack leverages GPT-5, Gemini 2.5 Pro, open agent frameworks, and custom no code automations to create workstreams that never require a spreadsheet download or 19 Chrome tabs. ### Why Multimodal Agents Supercharge Automation - Turbocharged integrations: Agents handle emails, calls, data pulls, and creative outputs without human handoff. Your marketing team can focus on strategy instead of scouring the web or filling out forms. - Dynamic contextual reasoning: Bots make smarter decisions across multi format datasets, so your sales pipeline or content calendar stays relevant. - Scale without staff bloat: Manage more complexity with fewer team members. That is the promise of automation first thinking. - Zeroth UI ambition: The slickest workflow is the one you never see. Multimodal agents automate across your SaaS tools invisibly with no custom UI burden. ## What’s Next (or: The Button That Eats All the Buttons) The winner in today’s AI automation race will be the company whose agents work everywhere, see everything, and rarely drop the ball. This is the end of SaaS sprawl and the beginning of unified, context aware digital labor. As the tech giants compete and open source projects such as Llama 4 push the frontier, the bar for generic productivity keeps rising. Be clear eyed. Multimodal agents are not perfect and automation is not magic. There will be bugs, blunders, and baffling mistakes. The difference now is that the bots are getting better at learning from their weirdness. Whether that is a blessing or the start of a new tech cult, time will tell. Until then, the only button that matters is automate. We can help you build it. For a deeper look at agent orchestration in practice, see our [deep dive on auto agents](/resources/blog/2025/10/03/shh-auto-agents-are-rewriting-your-workflow-while-you-sleep). If you are still living that copy paste life, consider this your invitation to the future.