🤯When Live AI Glitches Happen: Meta’s Big Demo Mess-Up

Welcome back to “Trendwise AI”

Today’s Recipes:

• 🤯When Live AI Glitches Happen: Meta’s Big Demo Mess-Up

• + AI Innovations: Startup Spotlight: The Only 5 AI-Powered Businesses Worth Starting This Year

• And More….

🤯When Live AI Glitches Happen: Meta’s Big Demo Mess-Up

• What: At Meta Connect 2025, the company had two high-profile demo failures for its new Ray-Ban smart glasses. One Live AI feature crashed because when “Hey Meta” was spoken, all glasses in the building activated, overwhelming a dev server (essentially a self-inflicted DDoS). Another demo video call couldn’t be answered due to a rare “race condition” bug.

• Why: These kinds of live demo failures matter because they test not just the tech itself but also its resilience under real-world conditions. When your live event serves thousands of potential users/devices simultaneously, unexpected load, voice triggers, or display sleep states can cause things to unravel even if everything works fine in rehearsals.

• Impact: The mishaps expose the thin line between bold launch spectacle vs. credibility risk. Still, Meta insists the product works as advertised in everyday use, and they’ve since patched the bugs. Will live demos still be worth the gamble, or will companies opt for more controlled reveals? How ready are we to judge a device by its launch moment alone?

Meta’s demo slip-ups are a reminder that even cutting-edge tech can stumble when pushed to extremes. But sometimes these glitches are what make us believe the product is real flaws and all. Want me to pull together how other big tech launches have handled (or been nailed by) live demo failures? 🔗 link

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The Only 5 AI-Powered Businesses Worth Starting This Year

Practical, scalable, and profitable five AI ideas that don’t need a big team or coding.

Every decade brings a window to build life-changing businesses. In 2025, that window is powered by AI.

Instead of hype or vague predictions, here are 5 AI business models you can start today, practical, profitable, and built on tools you already know. Whether you’re a student, solo founder, or scaling startup, at least one of these can be your launchpad.

Let’s dive right in.

1. AI-Powered Digital Products

Digital products aren’t new. For years, people have sold ebooks, online workshops, and guides. What’s new is speed.

Thanks to AI deep research tools, you can now pull data, surveys, and research papers from across the internet in minutes, not weeks. That means you can go from idea → polished product much faster.

How to monetize it:

• Partner with creators. Many YouTubers and influencers want digital products but don’t have the time to make them. Offer a 50–50 revenue split: you build the ebook/guide, they promote it.

• Or sell directly. Share insights on LinkedIn, X (Twitter), or even YouTube, and link your product.

The challenge:

Design. Beginners waste hours on fonts, colors, and layouts instead of focusing on content.

The solution:

There are several AI design platforms, like GAMMA, Canva’s AI tools, or Beautiful.ai, that help beginners turn rough drafts into professional-looking products in minutes. With these, you don’t need to waste hours choosing fonts or layouts; the AI does the heavy lifting.

2. Voice AI Agents

In 2024, Y Combinator poured money into voice AI startups. Why? Because customer support is expensive.

Every call center interaction costs money, whether it’s in the US, India, or the Philippines. Now imagine replacing 100 agents with a single AI voice assistant that works 24/7, never takes breaks, and scales infinitely.

That’s a 10x cost reduction.

Where voice agents shine: Refunds, FAQs, inbound calls (customers calling you).
Where they struggle: Outbound sales. People don’t like being “sold to” by a bot.

Business model:

• Set-up fee (to train the agent).

• Recurring charges (per call, per minute, or per active user).

Tools to use: N8N, ElevenLabs, and other integrations.

💡 Example: Some marketing teams are already experimenting with AI assistants that call leads before meetings. The AI confirms details, asks a few prep questions, and frees humans from repetitive tasks. It saves hours of time and requires almost no coding to set up.

That’s the beauty of voice AI: once trained, it just runs.

Top Publishers Hand-Selecting Amazon Brands to Promote this Holiday Season

This holiday season, top publishers are handpicking Amazon brands to feature in gift guides, newsletters, and reviews — driving high-intent shoppers straight to storefronts.

Levanta is connecting a select group of 7–9 figure brands with publishers ready to promote products to millions of buyers.

See if your brand qualifies

3. AI-Powered Personal Branding

If you’re a founder, personal branding isn’t optional anymore. A strong online presence helps you raise money, sell faster, and build trust at scale.

But most founders don’t have time to record 20 videos a month. AI can solve this.

The workflow looks like this:

• Record 5 minutes of video and 2–3 hours of audio to train an avatar and voice clone.

• Create a custom GPT trained on the founder’s LinkedIn posts or past writing. This generates scripts that sound exactly like them.

• Feed scripts into HeyGen (video) + Elevenlabs(voice).

• Add captions using Submagic or repurpose with Opus Clips for short-form reels.

Pricing example:

• Setup = $1,000 (to build the avatar + voice).

• Recurring = $500/month for 10 reels ($50 each, including script + edit).

The founder does nothing. You deliver content that looks and sounds like them, powered entirely by AI.

This model scales beautifully because once you’ve trained one founder, you can apply the same system to many.

4. AI UGC (User Generated Content) Ads

UGC = user-generated content (think: unboxings, reviews, testimonials).

Why does it matter? Because UGC outperforms polished ads. People trust “real” customer-style videos more than glossy campaigns.

But paying actual creators costs $50–$100 per video.

AI flips the equation:

• Generate a UGC-style ad (avatar + script) for under $1.

• Sell it to brands for $5–$10.

Imagine a D2C skincare brand logging into your platform. They paste a script, choose a style, and out comes a ready-to-post TikTok, Instagram testimonial.

This is an obvious SaaS play: cheap for businesses, wildly profitable for you. And since the ads look natural, most viewers can’t tell the difference.

5. AI Workflow Automation

This is the “boring” side of AI — and that’s exactly why it’s lucrative.

Every business has repetitive workflows:

• Employee onboarding

• Invoice generation

• Sales outreach

• Training modules

Each of these costs time and money.

Your opportunity:

Build AI workflows that replace these processes.

Tools to explore:

Make.com, N8N, or Google’s new Opal automation tool.

Example: Create an AI tutor trained on a company’s documentation. Instead of paying for expensive workshops, new employees interact with the tutor and get step-by-step training.

Business model: One-time setup fee + recurring maintenance.

This is where steady, long-term revenue lives. It may not sound sexy, but every company wants to save costs — and you become the person who delivers those savings.

So those are 5 AI business ideas for 2025. Digital products, voice agents, AI personal branding, UGC ads, and workflow automations.

Don’t just read and scroll to the next article— pick ONE idea, write it down, and start executing today. Remember: it’s always one day, or day one.

I’m Amit, thanks for reading.

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