Two big drops. 🚀 ElevenLabs is now inside Magai. Speech. Music. Sound effects. Use the models directly. Or have your agent use them for you. One prompt. One voiceover, one soundtrack, one sound effect. All in the same chat as everything else. That's drop one. Drop two is bigger. Unlimited image and video generation. ⬇ We added a small selection of image and video models that don't touch your monthly usage. Generate as much as you want. Zero meter running. Most people ration their credits. They hesitate. They second-guess the prompt because every try costs something. That's how you get average work. 🚫 Iteration is the whole game. Ten bad drafts to get one great one. Now you can afford to make all ten. ✅ Finding them takes one click. Open the model select menu. Hit the "Unlimited" filter. Done. Here's the catch. Right now, every Magai user has access. Soon, it moves to Pro and Ultra subscribers only. The window is open. Go use it. 😅 Voice, music, sound effects, images, video. Every major AI. One place. Stop paying for five tools. Start making things.

Per seat has a quiet failure. Your customer signs 20 seats. Hiring stops for three quarters. Revenue from that account goes flat. Your support load doesn't. Worse, their team stops inviting the contractor because every invite costs money. You made your own product smaller.

Founder: Our pricing is simple. Customer: So it's $19 a month? Founder: Base fee, plus seats, plus credits, plus a support tier. Customer: Can we get on a call? Founder: That's the idea. 😅

One question picks your pricing model. Does your heaviest customer get 10x the value of your lightest one? Yes: bill for the gap. No: seats or tiers. Easier to explain. Not "what do competitors charge." That's the wrong question. ✅

Your pricing page isn't a price list. It's a guess about how your customer's bill should grow. Most founders make that guess by copying a company four stages ahead. Then wonder why their buyer can't explain the price to a colleague. 🚫

AI can write ten button variants in ten seconds. That's the trap. 🚫 Ten versions of the wrong placement is still the wrong placement. Use the speed to run more tests. Not to generate more options. ✅

The 20 minute CTA sheet. Fill it in for one page 👇 Goal. Benchmark. Placement. Button. Destination headline. The day you read the result. No tools. In a week you'll know a number about your page instead of a feeling about it.

Three buttons of equal size. Start a trial. Join the newsletter. Book a demo. That's not a page. It's a buffet. The reader came hungry and left with nothing on the plate.

Use AI as the skeptic, not the copywriter. Paste in your page goal, your button, and where it sits. Ask: "Give me five reasons a cold visitor would not click this." Fix the top two. Then test. 🚀

The ad says "first month free." The page says "plans from $29." You didn't lose that click on the button. You lost it on the promise. 🚫 Fix the promise before you touch the design. It needs no test to find. ✅

Honest question. What's the weakest button on your site right now? A. "Submit" B. "Learn more" C. "Click here" D. It's fine, it's just buried at the bottom Drop your letter. 👇

Most tests don't win. About 1 in 8 produces a statistically significant improvement. That's not failure. A flat result tells you the button was never the problem. Learning to love "no difference" is half the job.

A/B test results are in. Variant A: 3 clicks. Variant B: 5 clicks. Total visitors: 80. Founder: "B wins. Shipping it." 😅 Statistics: "Please sit down."

A button that converts has four parts 👇 1. A verb they perform 2. An object they receive 3. A person it belongs to 4. A number or a deadline "Submit" fails all four. "Start my 14-day trial" passes all four.

Your button copy isn't the problem. 🚫 Its address is. Same offer. Same words. 13.6% in a full page popup. 0.9% in a bottom banner. That's a 15x gap from one study of 71 client accounts (First Page Sage, 2025). Move the button before you reword it. ✅

A visible price doesn't make a bad product good. Nothing does. What it does is show you the truth faster. Attention just reveals what's behind the link. Fix the product first. Then buy the eyes. ✅

Founder: Why did my reach drop? Platform: Policy update. Founder: Which policy? Platform: *typing...* Founder: Hello? Platform: *typing...* Three business days later: "Please see our help center." 😅

I'm all in on AI. But a model you can question beats a model you have to trust. Same goes for ad systems. Build on what you can interrogate. The next edge isn't more AI. It's fewer black boxes. 🚀

Most systems reward one thing. Money or consistency. The Board has two boards. The main one rewards commitment. Today resets every day and rewards showing up. So a brand at rank ninety can still win something real this afternoon.

Use AI to question your marketing numbers, not to decorate them. Paste last month's results into two different models. Ask both: "Which of these outcomes can I explain without blaming the platform's mood?" Where they disagree is where you're guessing.

What's the strangest explanation a platform ever gave you for a result you couldn't explain? "Policy update." "Audience fatigue." "Just give it time." Drop your favorite. 👇