
Welcome Automaters!
It’s hard to believe, but there’s an app out there turning private convos into cold, hard cash.
So tell me—would you trade your privacy for $30 a day?
Here's what we have for you today
🤳 AI and Privacy: The Controversial Rise of the Call-Recording Neon App

Imagine telling someone ten years ago that one day, people are going to voluntarily record their phone calls and sell the audio to AI companies for pocket money.
They’d laugh you out of the room.
But fast-forward to today—and that’s literally what’s happening.
The #2 app on the entire Apple App Store right now isn’t a new game or a social network… it’s an app that pays you to record your phone calls and then sells your voice data to AI companies.
Yep, it’s called Neon Mobile—and it’s blowing up like crazy.
Here’s how it works:
Neon claims you can earn “hundreds or even thousands of dollars a year” just by letting it capture your conversations. They pay about $0.30 per minute, up to $30 a day, plus a little extra if you refer friends.
And guess what? People are eating it up.
The app shot from rank 476 in the App Store’s Social Networking category all the way to number two in just a matter of days. That’s insane growth.
Now before you start tallying gossip hours to cover rent… let’s talk about what you’re really giving up.
Neon’s fine print says it records your side of calls. If the other person’s on Neon too? Then it’s the entire conversation, bundled up and sold to AI firms for training.
But the real shocker is what happens after. The terms hand Neon royalty-free, transferable, irrevocable rights—basically, once your voice is in their system, it’s not really yours anymore.

So here’s the bigger question: Why are people so chill about this?
A few years ago, the idea of a company recording phone calls would’ve caused absolute outrage.
But now? People just shrug and go, “Look, if our data’s gonna get scooped up anyway—between social media, smart gadgets, and all those ‘free’ apps that actually tax privacy—they might as well get paid for it.”
We’ve basically been numbed to privacy drama. Stuff that would’ve caused outrage a few years back barely raises an eyebrow today.
And that’s where the conversation gets interesting.
Is this just Black Mirror with a paycheck? Or is this the start of a world where our personal data actually becomes a legitimate income stream?
Honestly… both could be true.
At the end of the day, Neon forces us to confront a tough question:
How much is our privacy worth?
Would you trade your voice for thirty bucks a day? or is this crossing a line we really shouldn’t mess with?
Here’s where you can dig deeper.
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🦾 Microsoft Diversifies Copilot with Anthropic AI Models

Over at Big Tech, Microsoft is spicing things up in the AI world—and honestly, it’s kinda juicy.
As of yesterday, Microsoft officially folded Anthropic’s AI models into Copilot. Which means OpenAI’s biggest rival is now sitting at the same table. Kinda awkward, huh?
For the longest time, Copilot has been powered almost entirely by OpenAI under the hood. But Microsoft—in case you didn’t know—has been wanting more options on the menu. And now it’s done it: Anthropic’s Claude models are officially here to play.
So here’s the deal:
Business users will now get to pick between OpenAI’s deep reasoning models or Anthropic’s:
Claude Opus 4.1 — built for big-brain tasks like complex reasoning, coding, and solving gnarly problems.
Claude Sonnet 4 — the more reliable sidekick, perfect for data crunching, content creation, and day-to-day dev work.
Oh and, this isn’t totally out of the blue, either. Microsoft already started rolling Claude into Office 365 apps like Word, Excel, and Outlook earlier this month. Copilot is just the next step.
The bigger picture?
Microsoft isn’t cutting ties with OpenAI. It’s stacking the deck—diversifying, giving users flexibility, and making sure Copilot doesn’t depend on a single AI brain.
Basically: more competition, more innovation, more fun for us.
So yeah, Copilot just got new copilots. You can check it out or learn more here.
🧱 Around The AI Block
💃 Google’s cheaper AI Plus plan is now available in over 40 countries.
👨💻 Google makes real-world data more accessible to AI.
🤖 Alibaba Integrates Nvidia Robotics Software in its AI platform.
🤝 SAP and OpenAI partner to launch sovereign ‘OpenAI for Germany’.
👍 Google launches an AI-powered mood board app, Mixboard.
🗣️ Google is starting to launch real-time AI voice search.
🦾 New tool makes generative AI models more likely to create breakthrough materials.
🛠️ Trending Tools
CrustData sends you real-time alerts about company or personnel changes by monitoring their websites, job posts, and social media so you never miss the perfect moment to reach out to prospects.
PopPop isolates vocals or instrumentals from any song, letting you create karaoke tracks or extract samples for remixing.
Zepic automates your customer messaging across WhatsApp and email.
FirstVersion recreates and showcases the first versions of famous tech companies like Google and YouTube so you can explore how they started and duplicate their original designs for free.
JoggAI turns your photos into moving, talking digital avatars to use in videos, with pre-made templates to get you started if you need.
🤖 ChatGPT Prompt Of The Day: SaaS & Product Pricing Strategy Made Simple
Getting your pricing wrong can sink even the best products. Too high, and potential customers bail. Too low, and you leave serious revenue on the table. The right monetization strategy not only maximizes profits but also positions your product for long-term growth.
This prompt helps you cut through the guesswork and design a pricing strategy that makes sense for your market, your business model, and your growth goals.
Here’s How to Use This Prompt Effectively
Provide a detailed product/service description – Include target audience, core features, unique selling points, and market positioning.
Clarify your goals – Are you aiming for rapid user acquisition, high lifetime value, or maximizing immediate revenue?
Specify constraints or preferences – E.g., preferred pricing model types, freemium options, or maximum/minimum price ranges.
Ask for actionable, real-world examples – Encourage the AI to suggest concrete pricing tiers, potential upsell paths, and revenue projections, revenue potential, and risk mitigation.
Iterate and refine – Feed back additional market info or competitive benchmarks to get an optimized, tailored strategy.
💡 Prompt to try:
You are a seasoned business strategist with expertise in SaaS, e-commerce, and digital products. I will describe a product/service, and your task is to analyze the best monetization and pricing strategies for it. Please provide:
1. A breakdown of potential pricing options like subscription, freemium, tiered, pay-per-use, or one-time purchase, including pros, cons, and ideal scenarios for each.
2. Recommended optimal pricing structure with a suggested price range that aligns with market demand and target audience..
3. Revenue scaling potential over time, including short-term and long-term projections.
4. Highlight key risks or drawbacks with the recommended strategy and actionable ways to address them.
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That's all we've got for you today.
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