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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?
Lead gen doesn’t need tools, hacks, or long setups anymore
I’ve been testing a simple Claude + Apify flow and it works stupidly well for outbound in the ASEAN market. No code. No APIs. No engineering help. Just results. Here’s the idea (2-minute setup): You connect Apify directly inside Claude Desktop and let Claude pull leads from X in the background. What you need: • Claude Desktop app • Apify account How it works: 1. Open Claude Desktop 2. Settings → Connectors / Extensions 3. Add Custom Connector 4. Name: Apify 5. Server URL: https://mcp.apify.com/mcp 6. Save Done. Now just ask Claude: • “Find 15 qualified leads for my AI automation service from X” • “Find 20 video editing agency leads from X in Singapore / Indonesia / Malaysia” Claude handles Apify silently. You get clean leads, fast. I’ve curated the exact prompt + setup file I’m using
Next up on the Plate for AI? (NIL Lawyers)
For those who may be thinking (if your not college sports fans) what is this guy writing about? Well, NIL is Name Images and Likeness in college sports where college athletes across the board (and yes even 45 high school in the US have passed) can make money off of their Names, Images and Likeness. And here is something that is going to come up next with AI (mark my words). The Lawyers in NIL deals (I initially coined the phrase Now Its Legal back in 2019) are going to be starting to write language around AI in sports contracts and who wants to bet that this will be a way to bring AI in (after the initial contract) and then either nix the contract or try and re-do it by using AI instead of the real athlete. Just thought ya might enjoy chewing on that one.
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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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