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Roblox Just Let Anyone Build a Game From a Text Prompt. Here's What That Tells You About Where AI Is Heading.

July 18, 2026

# Roblox Just Let Anyone Build a Game From a Text Prompt. Here's What That Tells You About Where AI Is Heading. *By Warren Schuitema, Founder | Matchless Marketing | The AI Dad* --- Your kids' favorite gaming platform just handed anyone with a phone the ability to build a video game from a text prompt. No coding. No design software. No Roblox Studio. Just words, and a working game appears. That's worth paying attention to, and not because you're about to start building Roblox games. --- ## What Roblox Actually Announced On July 16, Roblox announced a new feature called Build. It's a new feature that allows users to design games from their mobile devices using AI. The Build feature lets anyone turn simple text prompts into a basic game without any programming experience. Here's the specific mechanic: if a user types "Let's make a cozy adventure game set in a dense forest," the new feature will generate an initial version of the game, which users can then modify and share with friends. Powered by a broad set of AI models, including both open-source and proprietary Roblox models, Build handles gameplay mechanics, environment, characters, visual style, sound, and more. With a shared back end, models, and chat history, creators can start work in Build and enhance their creation with the broader capabilities of Roblox Studio, or launch agents from Studio and check in on progress from their mobile device. The Build feature will enter public alpha testing on July 28, available to users in New Zealand aged nine and older who have verified their age. A wider rollout for iPhone and iPad users is set before the end of 2026. The platform doing this isn't small. Roblox has 132 million daily active users, and they're betting that a meaningful portion of those users want to stop playing and start creating. AI is how they're making that leap accessible. --- ## Why This Matters to You (and It's Not About Gaming) I don't cover gaming news for the sake of it. I'm covering this because the Roblox Build story is a clean, concrete example of something that's happening across every creative and productive category right now. The pattern is this: complex, skill-gated work is being compressed into a text prompt. Game development used to require learning Lua (Roblox's programming language), understanding 3D design tools, and spending weeks before anything was playable. Building a game in Roblox Studio requires learning Lua and understanding 3D design tools, which can be overwhelming for the platform's primarily young, mobile-first audience. Now it's a sentence on your phone. You're watching the same compression happen in your own business category. Marketing copy that took a copywriter a day now takes ten minutes in Claude. Automation workflows that needed a developer now get built in n8n with plain-English descriptions of what you want. Legal document drafts, financial summaries, client onboarding sequences, social content calendars. All of it is collapsing toward the text prompt. The question isn't whether this is coming for your industry. It already arrived. The question is whether you're positioned to use it before your competitors figure it out. --- ## The Quality Problem Is Real, and How Roblox Is Solving It Here's where this gets interesting for how you think about AI in your own business. The obvious fear with "anyone can make anything from a prompt" is a flood of low-quality output. AI-powered game generation has raised concerns among developers and players, with critics arguing that reducing the barriers to game development via text prompts could lead to an influx of low-quality and repetitive games. These concerns are reflected in this year's Game Developers Conference State of the Game Industry survey, which found that 52% of game industry professionals believe generative AI is having a negative impact on the industry. That's a legitimate concern. But Roblox's answer to it is worth stealing for your own thinking. Roblox plans to rank AI-generated games based on player retention, similar to the system used for other games on the platform. If a game is not played, it won't be featured as prominently. In other words: the market filters the slop. Quality still wins. The floor drops, but the ceiling stays the same. Apply that to your business. Yes, AI is making it easier to produce mediocre content, mediocre proposals, mediocre client deliverables. But the businesses that pair AI output with genuine judgment, real audience understanding, and a clear point of view? They're not getting drowned out. They're getting faster. The tools lower the cost of production. Your taste and experience are what raise the output above the noise. --- ## What to Watch Next in This Space Roblox didn't stop at Build. Beyond the Build feature, Roblox is also working on developing AI agents that will assist creators in playtesting and providing analytics. Planned agents will identify bugs, answer plain-language questions about analytics, and suggest experiments tied to engagement, retention, and monetization. That's the bigger signal. First they gave you AI that creates. Then they're giving you AI that tests, analyzes, and optimizes what was created. That's not a feature, that's an operating model. You're watching an agentic workflow get built into a consumer product. Create, test, analyze, iterate, all from a mobile app. That sequence is exactly what a well-structured AI workflow looks like inside a small business, and Roblox is about to normalize it for 132 million daily users. Roblox is also developing a scene-generation model capable of creating entire editable and playable 3D scenes from a single text prompt. The trajectory is clear: each prompt does more, covers more, and requires fewer follow-up steps. Your job is to pay attention to that trajectory in the tools you're already using. ChatGPT, Claude, and n8n are all moving in the same direction. The prompt that needed five follow-ups last year needs one today. The workflow that needed a developer to configure is getting no-code interfaces. These tools are not staying where they are. --- ## The One Thing to Do Today You don't need to build a Roblox game. But you should spend twenty minutes this week doing this: Pick one task in your business that currently takes you more than an hour, something creative or production-based. Then go to Claude or ChatGPT and describe the output you want in plain language, like you're explaining it to a smart contractor. Don't frame it as a prompt. Describe the desired end-state. See what you get. Then refine it once. That process, describing what you want and iterating on the output, is the exact skill the next generation of business owners is learning to do on a gaming platform. You can learn it this week on the tools you already have access to. The barrier to creating professional-quality work from a text prompt has never been lower. The only variable is whether you're willing to try it. --- *Warren Schuitema is the founder of Matchless Marketing and the creator of The AI Dad, a brand and platform helping small business owners and solopreneurs implement AI tools without hype, overwhelm, or a developer on retainer. He builds, tests, and documents real AI systems live so his audience can follow what actually works inside a running business.*

AI

The $300M AI Startup With No Product Is a Signal You Shouldn't Ignore

July 18, 2026

# The $300M AI Startup With No Product Is a Signal You Shouldn't Ignore **By Warren Schuitema, Founder | Matchless Marketing | The AI Dad** A former Google DeepMind researcher just raised $55 million at a $300 million valuation. No product. No revenue. No customers. Just a name, a thesis, and 14 years of credentials. That's the story of Andrew Dai and his startup, Elorian. Dai is the founder and CEO of Elorian and a former Google DeepMind researcher who raised a $55 million seed round at a $300 million valuation just months after leaving Google. The backers aren't nobodies, either. The three co-leads were Striker Ventures, Menlo Ventures, and Altimeter Capital, joined by Nvidia as a strategic investor and Jeff Dean, Google's head of AI research, as a notable angel backer. The finance press is calling it extraordinary. It is. But that's not actually the story I care about for you. The story I care about is what this deal reveals about where AI is heading, and what it means for the small business owner sitting across from tools like ChatGPT and Claude right now, trying to figure out if any of this is actually useful for their operation. ## What Elorian Is Actually Building Elorian is a Palo Alto-based visual AI startup co-founded by 14-year Google DeepMind veteran Andrew Dai and former Apple multimodal researcher Yinfei Yang. The focus is visual AI. Not image generation like Midjourney or DALL-E. Something more fundamental: AI that can genuinely *understand* and *reason* about what it sees. Dai described the gap plainly: "You have models that are doing really great at math, really great at new physics ideas, and of course coding is very popular now... But one area where progress has been extremely uneven is visual understanding and visual reasoning." Elorian aims to build models that push toward visual artificial general intelligence. That's the bet. The company plans to deploy the capital across three areas: expanding its research headcount, increasing compute resources for training large-scale visual reasoning models, and launching early commercial pilots with industrial partners in manufacturing and automation. For context on why investors wrote checks this large without a single demo, pre-seed rounds typically value startups between $5 million and $15 million. Andrew Dai secured backing at 20 to 60 times that range without a product in market. ## Why the Money Moved This Fast Here's what's actually happening beneath this headline, and it's worth understanding if you want to stay ahead of the curve. Google, OpenAI, and DeepMind have functionally become the world's most expensive graduate programs for AI infrastructure talent. A senior engineer who spent years building distributed training systems at Google has absorbed a curriculum no university or Series A environment can replicate. When that person leaves, they carry proprietary mental models about what breaks at scale and how hyperscalers actually think about architecture decisions. VCs are pricing that knowledge graph, not a product. In plain English: investors aren't betting on a product. They're betting on the person's decade of pattern recognition. Andrew Dai shared that choosing the right investors mattered more than maximizing valuation, and that today's fundraising environment rewards clear storytelling over technical jargon. That detail matters. The founder of a $300 million pre-product company is saying the edge wasn't the research, it was the clarity of the narrative around the research. That's not unique to billion-dollar fundraising. That's true in every sales call, every proposal, every piece of content you put in front of a client. ## What Visual AI Actually Means for Your Business Right Now Here's my honest take: visual AI at the level Elorian is building is 18 to 36 months away from landing in your toolbox in any meaningful form. But the trend is real, and it's already showing up in tools you're probably already using. ChatGPT's vision features, Claude's ability to read documents and images, Google Gemini's multimodal inputs — these are early versions of exactly what Elorian is trying to push much further. Here's a practical thing you can do today. If you're not already using the vision/image input feature in ChatGPT or Claude, you're leaving time on the table. Upload a photo of a whiteboard from your last planning session and ask Claude to extract the action items. Drop a screenshot of a competitor's landing page into ChatGPT and ask it what's working and what's missing. Paste in a photo of a handwritten invoice and ask it to format the data into a table. Visual AI is designed to process, understand, and generate visual information with the sophistication that large language models brought to text. While LLMs like ChatGPT changed how machines handle written language, visual AI promises to do the same for images, video, and spatial understanding. The gap Elorian is betting $300 million on is real. But you don't have to wait for Elorian to ship to start building the habit of working visually with AI. ## The Bigger Signal You Should Take From This The pattern of ex-hyperscaler founders closing nine-figure valuations at the earliest possible stage has repeated across at least a dozen deals in the 2025 to 2026 window. This isn't a fluke. It's a structural shift in how AI capital is being deployed. What that means for you: the tools you're using today are the *floor*, not the ceiling. The researchers who built the foundational models are now going independent and building the next layer. That next layer is coming faster than most small business owners expect. The owners who win aren't going to be the ones who waited until the tools were perfect. They're going to be the ones who built the habit of integrating AI into their daily workflows now, so when visual AI, agentic AI, and multimodal reasoning become commodity tools, they're already operating with a systems advantage. Dai told TechCrunch he prioritized strategic alignment over maximizing valuation, seeking investors who understood the realities of frontier AI development. That's a founder who knows what game he's playing. Do you know what game you're playing with AI in your business? Not the hype version. The practical, what-can-I-actually-use-on-a-Tuesday version. That's the question worth sitting with. **Your one action today:** Open ChatGPT or Claude right now, switch to the vision/image input, and upload something visual from your business — a whiteboard, a screenshot, a photo of a document — and ask the AI to do something useful with it. You don't need Elorian's $55 million research budget to start building visual AI into your workflow. You just need five minutes and a screenshot. The founders betting $300 million on this are already sure visual AI is the next frontier. You don't have to take their word for it. You can try the early version yourself, today, for free.

AI

AI Agents Are Now Ordering Your Lunch. Here's What That Actually Means for Small Business Owners.

July 18, 2026

# AI Agents Are Now Ordering Your Lunch. Here's What That Actually Means for Small Business Owners. **By Warren Schuitema, Founder | Matchless Marketing | The AI Dad** --- DoorDash just made the internet laugh this week. And buried inside the joke is one of the most important signals about where AI is actually heading for people who run businesses. Here's what happened. DoorDash opened a limited beta of `dd-cli`, a command-line tool that lets developers and AI agents search stores, build carts, and place orders from the terminal. Developers and tech folks found it funny because ordering a burrito from a terminal window is the kind of thing that screams "someone over-engineered this." The internet ran with the gag. But I don't think it's a joke worth dismissing. I think it's a signal worth understanding. --- ## What DoorDash Actually Built (And Why It's Not About Lunch) DoorDash co-founder and CTO Andy Fang unveiled `dd-cli`, a command-line interface tool that allows AI agents to autonomously search restaurants, compare deals, and complete checkout without any manual input from a human user, processing real payments rather than simulated transactions. Let me say that last part again: real payments, no human in the loop. Rather than routing AI agents through a consumer-facing app, the tool connects directly to DoorDash's ordering infrastructure via the command line. That architecture means an AI model integrated into a productivity tool, a calendar assistant, or a home automation system could trigger a food order as part of a broader task, without a user ever opening the DoorDash app. That's the sentence that matters. An AI wired into your calendar could notice your 12pm meeting runs long, check your usual lunch order, place it so it arrives at 12:45, and charge your card. You'd just walk out of the meeting and find food waiting. A public demonstration showed Anthropic's Claude completing a full end-to-end DoorDash order autonomously, which confirms this isn't vaporware. It works today, in beta, for macOS developers in the US and Canada. --- ## The Real Story: Apps Are Being Redesigned for Agents, Not Just Humans This is the part that should get your attention as a business owner. `dd-cli` positions DoorDash's ordering network as a service layer that third-party developers and AI systems can plug into, rather than a destination consumers navigate to directly. That's a fundamental shift in how software gets designed. For thirty years, apps were built for humans to click through. DoorDash built an app you tap around in. That's the consumer product. Now they're building a second layer underneath it, one designed for AI agents to call programmatically. DoorDash has built several agent-facing integrations ahead of `dd-cli`, including a Claude connector for menu browsing, cart building, and restaurant reservations, an integration with OpenAI's ChatGPT, a grocery-focused integration launched in December 2025, and Ask DoorDash, an in-app conversational ordering assistant. This isn't one quirky experiment. It's a deliberate architecture decision. They're building an infrastructure layer designed specifically to be called by AI agents. More companies are going to do this. It's already happening with scheduling tools, CRMs, e-commerce platforms, and productivity software. The question isn't whether your tools will eventually support agentic access. It's whether you'll know what to do with it when they do. --- ## What Agentic Commerce Looks Like in a Small Business Context Let me make this concrete, because "agentic commerce" sounds like a conference keynote term. Here's what it actually looks like in practice. Imagine you run a coaching business. You've got a morning packed with client calls. An AI agent connected to your calendar, your usual coffee shop, and a local delivery service could handle your lunch order without you thinking about it once. That's the DoorDash demo, applied to your day. Now scale that thinking into your business operations. An AI model integrated into a productivity tool, a calendar assistant, or a home automation system could trigger a food order as part of a broader task, but that same logic applies to any task involving a third-party platform. Think about what that pattern looks like when it's applied to: - A client onboarding sequence that books discovery calls, sends contracts, and creates a project folder, all triggered by a single form submission - A content workflow where an agent publishes approved posts, archives the files, and logs the result to your tracker - A lead follow-up system that checks your CRM, drafts a personalised reply, and queues it for your review The DoorDash demo is a silly example of a serious architecture. Agents taking action in real systems, using real APIs, completing tasks end-to-end. That's not science fiction. That's n8n and Claude running on your laptop right now, just pointed at different endpoints. --- ## The Practical Takeaway: Start Thinking in Triggers and Actions Most small business owners I talk to are still in the "prompt better" phase of AI adoption. That's useful. But the next phase is different. It's about building agents that can act, not just respond. Here's how to start shifting your thinking before this becomes table stakes: **Map your repetitive decisions, not just your repetitive tasks.** Automating a task means removing steps. Building an agent means removing the decision. The DoorDash demo isn't impressive because it saves clicks. It's impressive because no human had to decide anything. Identify three places in your week where you make the same call every time with the same information. Those are your first agent candidates. **Find the tools you use that already have API access.** According to DoorDash, `dd-cli` connects an AI agent directly to DoorDash's ordering system through a command-line interface rather than the consumer app. Most tools you already pay for have APIs. Notion, Google Calendar, your CRM, your email platform. If a tool has an API, an agent can use it. Start asking "can an agent call this?" instead of "can I automate this?" **Use Claude or ChatGPT to draft your first agent logic.** Open your AI tool of choice and describe a workflow you'd want an agent to handle. Ask it to outline the triggers, the decisions, and the actions. You don't need to build it today. You need to start thinking in that structure. The companies building agent-native infrastructure right now are betting that within two or three years, a meaningful portion of transactions, bookings, and task completions will happen through AI agents, not human clicks. DoorDash's `dd-cli` is more than a novelty. It's a practical example of how commerce is evolving to work with AI agents. That's the real story behind the sandwich joke. --- **One concrete next action:** Open your calendar and find one recurring decision you make every week that follows the same pattern every time. Write it down as: "When [trigger], I always [action]." That's your first agent specification. Then take it to Claude and ask it to help you think through how an AI agent could handle it. You don't need to build anything today. You need to start seeing your work through that lens.

AI

OpenAI Is Selling a $70 Basketball. Here's What It Actually Tells You About the AI Industry Right Now.

July 18, 2026

# OpenAI Is Selling a $70 Basketball. Here's What It Actually Tells You About the AI Industry Right Now. *By Warren Schuitema, Founder | Matchless Marketing | The AI Dad* --- OpenAI dropped a basketball this week. Not a metaphor. An actual, physical, $70 rubber basketball with the ChatGPT logo stamped on it. It sold out in a day. The internet responded the way the internet always does: memes, mockery, and the very reasonable observation that a nearly identical ball costs about $20 at your local sporting goods store. But I'm not writing about this to dunk on OpenAI. I'm writing about it because if you're a small business owner who uses AI tools, what just happened tells you something genuinely useful. Let me explain. --- ## **This Is What Brand Saturation Looks Like in Real Time** OpenAI didn't launch a basketball because someone in their product team loves hoops. They launched it because ChatGPT has reached a level of cultural recognition where they believe people will pay a $50 premium just to have the logo on an object they own. The campaign is called "Pause. Play. Prompt." The product listing describes the ball as "a physical reminder that creativity doesn't just live on our screens." It's styled as a wellness nudge, a reminder to step away and touch grass. This from the company whose entire business depends on you spending more time inside a chat window. The irony isn't lost on anyone. But the move itself is calculated, and it worked. The ball sold out. Here's what this signals: AI tools are no longer just software utilities. They're becoming identity markers. People aren't just using ChatGPT to get work done. They're associating with it. That shift matters for how you think about your own clients and customers. --- ## **What OpenAI Actually Released This Week (Besides the Ball)** The basketball got all the attention, but the more interesting product launched alongside it. OpenAI released its first piece of hardware: the Codex Micro, a $230 mini keyboard designed specifically for working with Codex, their AI coding platform. It's a compact square pad with 13 mechanical keys, a joystick, a dial, and a touch sensor. Six frosted keys give you a live view of your active Codex threads. The controls customize through the ChatGPT desktop app. That product has a real use case. It's built for developers who are running AI coding agents and need physical controls to manage them, not a touchscreen menu buried three layers deep. The Codex Micro sold out too, by the way. The rest of the merchandise line includes baseball caps, water bottles, tote bags, and a $175 quarter-zip with the word "research" written in cursive. It's a full lifestyle brand push, not a one-off novelty. --- ## **Why This Matters to Your Business (Not Just to Tech Nerds)** Here's the part your competitors are missing while they're busy laughing at the basketball. OpenAI is doing something every small business should understand: they're building trust and familiarity through physical presence. The ball isn't a revenue play. A few hundred units at $70 doesn't move the needle for a company valued in the hundreds of billions. It's a visibility play. It gets the brand into spaces, conversations, and content that a subscription page never would. You don't have a $100 billion valuation. You don't need one to apply the same principle. The small businesses I work with who are building the strongest AI-assisted operations aren't just using AI behind the scenes. They're talking about it openly. They're making their use of AI part of their identity. The coach who says "I build all my programs with AI tools and here's exactly how" is pulling ahead of the coach who uses the same tools but says nothing about it. Clients want to know you're operating with leverage. It's not bragging. It's positioning. --- ## **The One Thing Worth Taking Seriously From All of This** Strip away the merchandise stunt and the "Pause. Play. Prompt." campaign that apparently doesn't exist anywhere else on OpenAI's website, and you're left with one real signal: the AI industry knows it has a perception problem. The technology is everywhere. But a lot of people still don't trust it, still feel overwhelmed by it, or still see it as something happening to them rather than something they're choosing to use. OpenAI selling a basketball is, in its own weird way, an attempt to make AI feel approachable. Familiar. Human. Off-screen. For you, that's not a merchandise problem. It's a communication problem, and it's one you can solve right now. If your clients don't understand what AI is doing in your business, they're probably uneasy about it even if they haven't said so. The fix isn't a disclaimer. It's a conversation. Tell them which tools you use. Tell them why. Tell them what it means for how you serve them. That's the thing OpenAI is trying to buy with a basketball. You can do it with a two-paragraph email. --- ## **One Thing You Can Do Today** Write a two-paragraph note to your clients or your email list. Paragraph one: name one AI tool you're using regularly in your business right now. Paragraph two: tell them what problem it solves for you and, by extension, for them. Don't position it as a big announcement. Just make it normal. That's the whole game: normalizing AI as part of how good businesses run, instead of leaving it as something mysterious happening behind the curtain. OpenAI spent some unknown amount of money on rubber basketballs to make ChatGPT feel less like a tech product and more like part of daily life. You can do the same for your business with about 100 words and five minutes. --- *Warren Schuitema is the founder of Matchless Marketing and the creator of The AI Dad, a brand and platform helping small business owners and solopreneurs implement AI tools without hype, overwhelm, or a developer on retainer. He builds, tests, and documents real AI systems live so his audience can follow what actually works inside a running business. He is the operator behind a fully automated AI agent workforce managing content, leads, research, and client onboarding at Matchless Marketing, which makes him genuinely qualified to tell you when a $70 basketball is actually a branding lesson worth paying attention to.*

AI

Google Vids Just Got a Feature That Lets Your AI Avatar Show Up to Work

July 18, 2026

# Google Vids Just Got a Feature That Lets Your AI Avatar Show Up to Work **By Warren Schuitema, Founder | Matchless Marketing | The AI Dad** Video is the content format most small business owners say they want to do more of. It's also the one they avoid more than any other. The camera, the setup, the lighting, the seventeen takes to get one sentence right. I get it. I've been there. So when Google dropped a meaningful update to Google Vids this week, I paid attention. Not because the tech is flashy, but because it removes the specific friction that's been stopping people like us from making video content at all. Here's what actually changed, and what it means for your business. --- ## What Google Actually Announced On July 16, 2026, Google announced a major update to Google Vids, integrating the multimodal AI model Gemini Omni and introducing a personal avatar feature. There are two distinct pieces here, and they're worth separating. **Personal Avatars:** Google Vids will now allow you to create a custom digital avatar that looks and sounds like you, based on a selfie and a voice recording you upload. Once that avatar is built, you only need to input a script, and the avatar delivers the content naturally — no re-shooting required whatsoever. **Gemini Omni Integration:** Google is bringing its multimodal AI model Gemini Omni to Vids, letting you create videos using a combination of a written prompt and reference images you upload. Omni then mixes those inputs together to create the AI video you want. It also handles editing. It can be used to swap out the background or fix the lighting in a video recorded on your phone, or add effects. The editing workflow is also different from what you might expect. In conventional video editing, a mistake often meant discarding the entire project and starting over. The new version allows users to backtrack through the editing process one step at a time for efficient corrections. **Who can access it:** Gemini Omni and personal avatars are available in Google Vids for Google AI Pro and Ultra subscribers and Google Workspace business customers. At launch, personal avatars are available in English only for users 18 years and older. They're not available in the European Economic Area, Switzerland, or the United Kingdom. --- ## The Use Cases That Actually Matter for Small Business Let me be direct: not every AI video tool deserves your time. The reason this one does is that it's built into infrastructure you might already be paying for, and the use cases it unlocks are boring in the best possible way. Training videos. Client onboarding. FAQ walkthroughs. Weekly team updates. These are the videos that every service business needs and almost none of them make, because making them used to mean booking a camera, finding a quiet room, and spending two hours getting four minutes of watchable footage. The tool is offered as part of Google Workspace, with a strong emphasis on business use cases such as corporate onboarding videos and internal communications materials. Think about a coaching business that onboards five new clients a month. Right now, that probably means a live Zoom call, a PDF, and a prayer that the client actually reads it. With a personal avatar in Google Vids, you record yourself once. You feed the script. Your avatar delivers it. Every new client gets the same polished, on-brand welcome — without you showing up live to do it. That's not a gimmick. That's leverage on a process you're probably already doing badly. --- ## The Honest Caveats You Should Know Before You Dive In I'm not going to oversell this. There are real limitations worth understanding. First, transparency. Every generated clip includes an invisible SynthID digital watermark. This allows people to verify that a video was created with AI, so you can explore your creativity and share your AI videos responsibly. That's a good thing, and Google deserves credit for building it in from the start. But it also means AI-generated content is identifiable, and your audience will increasingly know when they're watching an avatar. That's a trust consideration you need to think through for your brand. Second, the avatar is locked to you. Personal avatars are linked to a user's Google Account and are restricted to the account holder's likeness. You can't build an avatar of someone else. You can't use it to impersonate. That's the right call, but it does limit creative flexibility. Third, pricing isn't fully detailed, and it's not yet clear exactly which regions are in the initial rollout, or how long Google retains the voice-and-face training data used to build an avatar. If you're privacy-conscious about biometric data, that's a question worth putting to Google's support documentation before you opt in. The feature is rolling out gradually. Rapid Release domains see a gradual rollout starting July 16, 2026, while Scheduled Release domains begin their rollout on August 5, 2026. So if you don't see it yet, you're not doing anything wrong. --- ## What This Means for the AI Video Market These updates push Google Vids beyond its original role as an AI-assisted workplace presentation tool to become more of an all-in-one video creation platform. By making Vids part of Google Workspace, the company is telegraphing its use as a business tool, but personalized avatars and conversational edits could put it in closer competition with other AI video startups and tools like HeyGen, Synthesia, Captions, D-ID, and others. Here's the strategic reality: if you're already paying for a standalone avatar video tool, Google just opened a consolidation conversation. Workspace is already in most small business stacks. Adding a capable avatar tool to it changes the math on whether you need a separate subscription elsewhere. That said, HeyGen and Synthesia have a meaningful head start on quality and features. Google's advantage isn't that Vids is better — it's that it's already in the tab you have open. Don't cancel your existing tool this week. But do pay attention to how this develops over the next quarter. --- ## One Thing You Can Do Right Now If you have a Google AI Pro, Ultra, or Workspace subscription, go check whether personal avatars are visible in your Google Vids account today. If they are, do this one thing: identify the single piece of video content in your business that you've been putting off because of the camera friction. That's your first avatar project. It doesn't have to be perfect. It doesn't have to be your best work. It just has to exist — because a training video you actually ship beats a polished one you never record. The tool is there. The friction excuse isn't anymore.

AI

What a $6,880 AI Agent Actually Does (And What It Can't)

July 18, 2026

# What a $6,880 AI Agent Actually Does (And What It Can't) **By Warren Schuitema, Founder | Matchless Marketing | The AI Dad** Vertu just put a price tag on an AI agent, and it's $6,880. That number is worth paying attention to, not because you should buy the thing, but because of what it reveals about where AI agents actually stand right now. The product is the Vertu Alphafold, a luxury foldable phone running a built-in AI agent called Hermes Agent. Hermes is a pre-installed AI agent built on top of the open-source Hermes project. Vertu says it can analyze files, automate tasks across apps, remember conversations, and hand off requests to a human concierge when needed. Unlike most smartphone AI assistants that largely just respond to prompts, Hermes is designed to execute multi-step workflows on users' behalf. On paper, it's the closest thing yet to an AI agent marketed as a serious business tool, not a feature buried in your settings. TechCrunch put it through real-world testing this week. The results are instructive for anyone thinking about AI agents, at any price point. --- ## What the Vertu Alphafold Actually Is The Alphafold starts at $6,880, and the review unit came wrapped in genuine calfskin leather with titanium accents, setting it apart from mainstream foldables that largely rely on glass or synthetic finishes. Higher-end variants go further. Those models feature bespoke finishes including alligator leather, 18K gold, and natural diamond accents. The top-end standard model is priced at $46,800. Here's what they don't put in the press release: TechCrunch noticed striking similarities between the device and the $1,100 ZTE Nubia Fold, from the hinge design and dimensions to the placement of the speakers, microphones, and the fingerprint reader. Vertu confirmed the Alphafold was developed through a specialist supply-chain partnership involving ZTE/Nubia's hardware platform. The company said it was responsible for the luxury materials, software experience, quality control, and after-sales service. So the hardware you're mostly paying for is available at a fraction of the price. The real bet Vertu is making is on Hermes Agent. --- ## What Hermes Agent Can Actually Do The Alphafold can route requests across multiple AI models, including OpenAI's GPT, Anthropic's Claude, Google's Gemini, and selected open-source models, while also integrating with more than 80 apps and dozens of native phone functions for cross-platform workflows. The agent can connect to enterprise systems like ERP and CRM, and coordinate tasks such as approvals, scheduling, sales tracking, travel planning, and operational reporting through natural-language prompts. In testing, some of that held up. Hermes impressed when analyzing local files and spreadsheets, areas where Gemini on Samsung's foldable still relied on manually uploaded documents. It was also more willing to automate actions across apps and complete multi-step workflows. That's real. File analysis without manual uploads is a genuine workflow win, especially for anyone reviewing contracts, quotes, or financial summaries on the go. But the autonomy has limits. One test replicated a typical executive situation just before heading to the airport. The assistant dispatched a text, activated Do Not Disturb mode, and launched Google Maps with the airport set as the target. However, it failed to start navigation on its own, and set a reminder for the wrong time entirely. That's not a minor bug. That's an agent making confident decisions that were just wrong. No clarification asked, no confirmation sought, just incorrect action taken. Early software builds also struggled to upload files, analyze images, and connect to Vertu's concierge service. After these issues were reported, the company rolled out server-side fixes mid-review. For a $6,880 device, patching functionality during the review process is not a great look. --- ## The Security Question Nobody Can Answer Yet Vertu pitches the Alphafold as a privacy-first device. The device features a proprietary A5 security chip designed to isolate authentication keys, biometric credentials, and sensitive enterprise information from the main operating system. Commercially sensitive data can be processed locally, while prompts sent to external AI models are redacted or tokenized before leaving the phone. That architecture sounds solid. The problem is that it hasn't been verified by anyone independent. The system has not yet undergone third-party security audits or independent certification. Vertu told TechCrunch that independent audits remain on its security roadmap as "an explicit next-stage commitment." For any small business owner or executive running client data through an AI agent, that matters. Security claims without audits are just claims. --- ## What This Tells You About AI Agents Right Now Here's my honest read on this, and it's the reason I wanted to write about it. The Vertu story is not really about Vertu. Most of us aren't buying a $6,880 phone. But the performance gaps Hermes Agent showed, acting autonomously but incorrectly, needing mid-review patches, struggling with timing and context, those are the exact same gaps you'll hit with any AI agent you set up today, whether it's in n8n, ChatGPT, Claude, or a Zapier workflow. The Alphafold is an ambitious attempt to build an AI-first luxury smartphone, but the execution falls short of its price tag. Despite its premium materials and exclusive services, the core hardware offers little that cannot be found in significantly less expensive foldables, while Hermes Agent remains an evolving platform rather than a compelling reason to spend thousands more. That's the honest verdict on AI agents broadly right now. They're evolving platforms, not finished products. The best ones handle structured, bounded tasks reliably. Local file analysis, document summarization, templated follow-ups, calendar blocking. They fall apart when the task requires genuine judgment about context they don't have. The small business owners I work with who are getting real value from AI agents aren't asking them to "run the business." They're asking them to do one specific thing extremely well. Review this contract and flag any payment terms outside 30 days. Pull my last five invoices and format them into a summary. Draft a follow-up email based on these notes. Bounded. Specific. Reviewable. The Vertu pitch is that an agent can run your executive day. The TechCrunch review shows it still sends wrong reminders and needs a human to catch its mistakes. That's exactly where we are with agents in mid-2026, for $6,880 or for free. --- ## What You Should Actually Do with This Information If you've been hesitant to try AI agents because you're waiting for them to be "ready," this story should help calibrate your expectations without killing your interest. They're ready for bounded tasks. They're not ready for autonomous responsibility. The practical move: pick one repeatable task in your business that has clear inputs and a clear output. Something you do the same way every time. Draft a client proposal from a set of notes. Summarize a weekly sales report. Send a check-in message three days after a quote goes out. Set up that one workflow, in ChatGPT with a custom GPT, in Claude Projects, or in n8n if you want real automation. Run it for two weeks with your review before anything goes out. That's how you build trust with an agent, the same way you'd build trust with a new hire. The people selling $6,880 AI agents are betting you'll pay for someone else to have already figured this out. You don't need to. You need a clear task, the right tool, and a habit of checking the work until you trust it. Start there.

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