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🎙️ The New Interface is Human: Multimodal AI, Voice Agents, and the Return of Conversation
We thought AI would change work by making us better writers. It may change work more by making us better communicators. When AI can listen, speak, see, and respond in real time, the interface becomes conversation, and that shifts everything. ------------- Context ------------- One of the strongest trends in AI right now is the move toward multimodal interaction. Voice, text, images, and video are converging into a single experience. This reduces friction between intention and action, and it changes how work feels. In many organizations, the biggest bottleneck is translation. Turning conversations into tasks. Turning ideas into documentation. Turning meetings into decisions. Typing becomes the tax we pay to make work real. Voice and multimodal AI reduce that tax. But speed alone does not guarantee clarity. Without discipline, we risk accelerating confusion instead of resolving it. ------------- The Shift from Prompting to Briefing ------------- Text-based AI rewards clever prompts. Conversational AI rewards clear thinking. Briefing is a different skill. It involves context, constraints, audience, and desired outcomes. It feels less like operating a tool and more like delegating to a colleague. That makes AI more accessible, especially for people who never enjoyed “prompt engineering.” At the same time, natural speech can hide ambiguity. Casual phrasing often skips assumptions. So the skill gap shifts from who can phrase prompts to who can frame work clearly. Teams that develop shared briefing habits will compound value faster than teams that rely on individual prompt tricks. ------------- The Attention Problem We Are About to Create ------------- Conversational AI feels always available. That can be empowering, or overwhelming. If voice agents interrupt constantly, triage poorly, or encourage reactive behavior, they fragment attention. If designed well, they protect focus by absorbing noise and surfacing only what matters. This is a human performance issue. Efficiency without boundaries leads to burnout. Speed without recovery erodes judgment.
🎙️ The New Interface is Human: Multimodal AI, Voice Agents, and the Return of Conversation
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We Tested Claude Cowork for a Week. Here Are the Results...
The AI Advantage team spent a week testing Claude Cowork, and in this video, I break down what worked and what didn't in our testing. If you've been wondering exactly how you should be using Claude Cowork, this is the video for you!
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You either get the result or the upgrade.
Sometimes you’ll get the win. Other times you’ll get the lesson. That’s it. Not everything turns into a highlight. Not every effort turns into a payoff. But none of it is wasted. Because lessons turn into better decisions. Better decisions turn into better execution. Better execution turns into wins. Most people quit in the lesson phase because it feels like losing. It’s not. It’s just part of the process. So this week: Try the thing. Have the conversation. Make the offer. See what happens. Adjust. Go again. Quick check-in: What’s one uncomfortable action you will commit to taking this week?
Help with Security and Back-End - AI Recommendations?
Hello everyone 🫱🏽‍🫲🏼 I’m working on 4 platforms in development, but I’m struggling with the back-end. I’ve tried several AI tools, but haven’t had much success. Does anyone have any tips to help me out?
Help with Security and Back-End - AI Recommendations?
What i have seen
Hello everyone 👋 I’m really glad to be part of this AI community. I’ve been learning a lot here, and I love the way people share knowledge and support each other. A little about me: I’m actively using AI tools like ChatGPT and other no-code / low-code builders to try and create real applications. I have many ideas, especially apps that can help solve practical problems in my community in Cameroon (education, church/community management, simple digital systems, etc.). Right now, AI is helping me a lot in terms of ideas, structure, and guidance but I’m still struggling to turn that into a finished, working product that fully meets my expectations. I feel like I’m close, but not yet “there”. So I wanted to ask for advice from this community: • What AI tools, platforms, or workflows have helped you move from ideas to real, usable apps? • Are there any tools you’d recommend for someone building community-focused apps with limited resources? • Any lessons you learned when you were stuck at this same stage? I’m really motivated to use AI not just for learning, but to execute meaningful projects that can make an impact. I’d appreciate any guidance, tools, or experiences you’re willing to share.
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Founded by Tony Robbins, Dean Graziosi & Igor Pogany - AI Advantage is your go-to hub to simplify AI and confidently unlock real & repeatable results
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