Turn Strangers Into Fans (With These New AI Model Releases)
The past week felt different. Finally, the moment creative AI stopped being a demo and started being a door.
For months, we've watched these models get better: sharper images, smoother video, more natural voices.

Here’s a scaled down preview of what you’ll get from the free automation in this newsletter
Impressive, but still just pieces. This week, those pieces became a system.
Not (just) for making better content. For solving the problem that kills most brands: what happens after someone shows interest?
You earn the click. You get the opt-in. Then what? Most hand off to email sequences and hope something sticks. But there's a gap there.
Between curiosity and commitment, between maybe and yes.
This week, that gap became closable.
What if the moment someone downloads your lead magnet, a machine researches their company, writes a personalized script, generates a custom scene, and delivers a video that speaks directly to their situation? Not in days. In minutes.

Today, you get the entire n8n workflow: plug in and instantly send personalized video messages. Your face, your voice, tailored to each lead, in minutes.
Here's exactly how it works.
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The Tools That Just Rewrote the Rules
Here's what just became possible:
The Research Problem: You get a new lead, but what do you actually know about them? Manual research takes hours, and generic outreach gets ignored.
The breakthrough: Perplexity (we love Perplexity folks) just launched their Search API after Microsoft retired Bing's developer access. They're processing 200M daily queries with AI-driven parsing that continuously self-improves. Real company intel in milliseconds, not hours.
The Production Problem: Professional video requires cameras, studios, post-production sync work. But text feels impersonal.
The breakthrough: Wan 2.5 dropped native audio generation - synchronized sound, dialogue, ambient noise in a single pass. No more post-sync. Just prompt, add audio, export. A real Veo 3 competitor (and might be open-sourced).
Late Friday night, Bytedance (they were busy spinning off US TikTok) dropped Lynx, a realistic video from a single photo while keeping faces accurate across frames.
The Editing Problem: Video editing means timelines, cuts, manual sync work. Time consuming and technical skills not every founder has.
The breakthrough: Decart Lucy Edit just open-sourced "the video version of Nano Banana". It’s text-driven deep video editing. You can change scenes, add transitions, composite elements with prompts.
VEED Fabric is a really cool one I’m especially pumped about. It’s the first AI talking head video model. It’s 3x cheaper than Veo and generates up to 30 seconds.
The Integration Problem: Great AI tools lived in isolation. You'd generate in one place, edit in another, export somewhere else.
The breakthrough: Google's Nano Banana model is now native in Photoshop's Generative Fill.
Alibaba open-sourced Qwen-Image-Edit as a free alternative. This is a ridiculously powerful editing model, and you can run it locally.
That conversion gap I mentioned? These tools just made it closable.
The Automated Prospecting Workflow
This is where the magic happens. We're about to watch a machine turn a simple ebook download into a personalized video that lands in someone's inbox.
The entire process takes 4 minutes.
The Trigger: Someone Takes the Bait
It starts innocently enough. Sarah from TechBro Industries downloads your ebook on lead qualification. A new contact hits your CRM.
The machine sees it. The first domino falls.
Step 1: The AI Scout Goes Hunting
Here's where it gets interesting. The system goes and investigates.
It sends TechBro's domain to the Perplexity API with a mission: "Find the latest news, blog posts, or funding announcements for this company. Focus on goals, challenges, recent launches."
30 seconds later, it returns with intel: TechBro just raised $12M Series A, they're expanding into data center equipment, their CEO just posted about scaling challenges.
The machine now knows exactly what matters to Sarah.

Step 2: The Plot Thickens
The system goes to work writing the next scene. It takes that intel and feeds it to another AI with a simple job: turn research into a visual.
"Create a background showing new data center equipment with TechBro's logo, reflecting their recent market expansion."
Step 3: The Magic Moment
This is where it gets wild.
The machine makes an API call to the image generator with two ingredients:
Your sales rep's headshot
That custom scene description
An AI puts together a prompt like: "Composite this person into a data center equipment scene with TechBro’s branding. Natural lighting, professional sales environment."

4 minutes later, there's your sales rep standing next to TechBro-branded data center equipment. Custom. Contextual. Impossible to ignore.
Step 4: The Ghostwriter Takes Over
But the machine isn't done. While we render the scene, another AI was already crafting the performance.
It takes the same TechBro intel and becomes a sales development rep: "Write a 30-second script for Sarah. Mention the Series A, reference the data center expansion, connect it to scaling challenges companies like theirs face."
90 words. Personalized. Ready for showtime.
Step 5: Lights, Camera, Automation
No cameras needed. The machine sends three things to VEED Fabric:
The script about Sarah's company
Your rep's original headshot
The custom TechBro scene
VEED's AI clones the voice, syncs the lips, places your rep in that impossible-to-ignore background.
Step 6: The Delivery
Final MP4 renders. The system attaches it to an email template.
"Hi Sarah, saw the news about TechBro's Series A..."
Send.
From ebook download to personalized video in Sarah's inbox: 4 minutes, zero human hours.
The machine just closed a loop that used to take your sales team half a day.
The Magic Moment
A year ago, creative AI was promising. This week, it grew up.
And with it, something became possible that wasn't possible before: the moment that turns interest into delight.
Not just another email in the inbox. Not another follow-up sequence. A genuine surprise that makes someone think "How did they know exactly what I needed to see?"
That spark of joy when Sarah opens a video of your sales rep standing next to TechFlow-branded equipment, talking about her Series A like he's been following her company for months.
The "wait, how did they do this?" moment that turns a stranger into someone who wants to know more about the people who care enough to create something this thoughtful.
The system isn't just closing conversions. It's creating fans.
The n8n template is ready. The magic moment is waiting to be built.
(P.S. I built the n8n template for this workflow. Click here to download)
Lets go big,
Matt Berman
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