JUST IN: Charles Hoskinson says "if Midnight $NIGHT is successful, there'll be more partner chains on Cardano. $ADA holders get more airdrops. Ideally, we'd like to see one launch every year. If each brings billions of users in—Cardano could become one of the most used systems."
This playbook of winning ads is insane 🤯
One-click generate winning ads with Google's new image model...
This is the ultimate Playbook for marketers, e-comm operators, & creative agencies.
Eliminate guessing & leverage creatives backed by $50M+ in direct response sales.
Built with a Brand Kit fidelity layer to get professional-grade creatives with perfect brand consistency.
Each ad costs pennies to generate + you own 100% of the assets forever.
How it works:
→ Agentic AI System for Marketers
→ Save time with AI-powered ad cloning
→ Ad gallery to centralize all of your ads
→ Nano Banana generates fresh creative variations
→ Auto-applies different angles, backgrounds & styles
→ Upload brand assets for personalization
No complex N8N workflows, start generating ads in one-click.
Want early access?
Like + Comment "PLAYBOOK" & I'll send it over!
Claude Code + ChatGPT Images 2.0 is f*cking cracked 🤯
I rebuilt my static ad system inside Claude Code on the new ChatGPT Images 2.0 model.
One brand name + one URL = 40 production-ready static ads.
All inside Claude Code.
Perfect for DTC brands and agencies who need high-volume ad creative without briefing a designer or spending hours in Canva.
If you're finding winning ad concepts on Meta and manually recreating them one at a time — copying prompts, pasting product details, tweaking aspect ratios, downloading, organizing...
This system eliminates the entire loop:
→ Give Claude a brand name and URL
→ It researches the brand's fonts, colors, packaging, and photography style
→ Builds a Brand DNA document from scratch
→ Fills in 40 proven ad templates (headline, us vs them, testimonial, UGC, review cards, stat callouts) with brand-specific details
→ Fires every prompt to ChatGPT Images 2.0 with your product photos as reference
→ Downloads finished ads into organized folders with an HTML gallery
No manual prompt filling.
No Canva templates.
No copy-pasting between tools.
What you get:
→ 40 ad formats filled with your exact brand colors, fonts, and copy
→ Text that actually renders correctly (the new model handles dense copy, logos, and multi-language callouts cleanly)
→ Product photos passed as reference so the model matches your real packaging
→ A reusable system — new brand, new folder, same pipeline
Built 100% in Claude Code with ChatGPT Images 2.0.
I put together a DIY playbook showing the exact architecture so you can build this yourself in Claude Code.
Want it for free?
> Like this post
> Comment "CHAT"
And I'll send it over (must be following so I can DM)
I'm giving away the Claude Code skills we use to manage $300k/mo in ad spend at ColdIQ.
4X ROAS on $1M+ spent.
Ivan, our head of growth, built them off 300+ hours running ad campaigns for our clients. They run Google, Meta, and LinkedIn ads from the terminal in plain English:
→ bulk edits across platforms
→ custom audiences from CRM lists
→ creative fatigue detection before CTR dips
→ bid adjustments at scale
→ performance audits across periods
Reply "ads" and I'll send the full repo. Must be following.
Anthropic accidentally leaked Claude Code's entire source code today.
It sped up my meta ads workflows by 60% 👇
512,000 lines. 1,900 files. Everything.
I spent the last few hours reading through it.
And what I found inside completely changed how I run Meta ads.
Here's the interesting part:
Buried in the code is a multi-agent system called "Coordinator Mode."
One Claude spawns and manages multiple worker agents.
In parallel.
Each one handling a different task.
When I saw that, something clicked.
I've been using Claude Code to automate Meta ads for months.
But I was doing everything sequentially:
→ Pull performance data
→ Wait
→ Analyze the numbers
→ Wait
→ Generate new ad copy
→ Wait
→ Audit targeting and budget
→ Wait
Every step waited for the last one to finish.
After studying how Anthropic built their own orchestration system, I restructured my entire workflow to mirror it:
Agent 1: Pulls campaign data from the Meta Marketing API
Agent 2: Audits spend, CTR, and ROAS across all active ad sets
Agent 3: Generates 10+ copy variations based on top performers
Agent 4: Flags budget leaks and audience overlap issues
All running at the same time.
The result?
My full account audit + creative refresh process went from
~5 hours to under 2.
That's a 60% speed improvement.
From reading leaked source code on a Tuesday.
Anthropic didn't build Claude Code as a single chatbot.
They built it as a system of specialized agents working together.
If you're running Meta ads and still doing everything one prompt at a time, you're leaving hours on the table every single week.
P.S. I wrote a full guide breaking down exactly how I set up this multi-agent Meta ads pipeline step by step — no coding experience needed.
Comment "WORKFLOW" and I'll send it over.
I'm going to delete this post in 48 hrs...
Because I just dropped the most BRAIN-DEAD creative strategy for scaling Facebook ads in 2026.
This is the exact TOP-TIER system we use to find winning ads at scale just by copying proven concepts from other industries and let AI do the job for us.
We charge $10,000/mo to do this for clients…
But today, I'm giving it away 100% FREE.
Like + Comment "BRAIN" and I'll send it to you.
@Garmin Hey guys! When will you realize the power of AI and actually deliver as personalized data and AI insights? You have the best data in the market and you just need to make use of it in new way. Connect+ premium could be on another level. Thanks!
RIP landing page designers 🤯
I just built a system in Claude Code that clones high-converting advertorial pages & rebuilds it for your brand in minutes.
Find a presell page that's been running on Meta for months →
Feed it to Claude Code →
Get back a production-ready page with your product, your copy, your angles.
Built 100% in Claude Code.
Perfect for DTC brands and agencies testing multiple advertorial angles on Meta.
The best brands on Meta are running 5-10 different advertorial pages at any given time.
Each one targets a different audience, a different pain point, a different hook.
Building those pages manually means freelancers, back-and-forth, and weeks of waiting.
This system solves it:
→ Find an advertorial that's scaling on Meta
→ Feed the page to Claude Code
→ Claude extracts the exact DR framework
→ Swap in your brand details, product, audience, and mechanism
→ Claude one-shots a complete HTML page following the same proven structure
→ Paste into Shopify. Done.
No designer.
No copywriter turnaround.
No starting from scratch.
What you get:
→ The exact advertorial structure that's already converting on Meta, rebuilt for your brand
→ Full HTML page ready to import into Shopify in 60 seconds
→ Copy that follows every DR beat — authority, pain escalation, root cause reframe, social proof, offer
→ A repeatable system you can use to spin out new angles whenever you need them
The pages that are scaling hardest on Meta all follow the same formula. This just lets you use it.
I put together a full guide showing the exact process — how to find winning pages, extract the structure, and build your own in Claude Code.
Want the full guide for free?
> Like this post
> Comment "CLONE"
And I'll send it over (must be following so I can DM)
Most people use Claude like it’s ChatGPT.
They’re making a 50k/ month mistake.
Claude isn’t a chatbot.
It’s a $100k/yr GTME - if you set it up right.
So I built the Claude GTM Playbook I wish I had 8 months ago:
Inside:
• 16 settings that turn Claude from “assistant” into a $100k/yr GTME
• How to build Projects that remember your ICP, brand voice, and winning sequences
• Prompt structures that improve output by 60%+ (real examples included)
• How to actually use Claude Cowork for GTM
• Memory + context systems so you stop repeating yourself
• An iteration framework that compounds quality with every request
• Advanced workflows for research, analysis, and file creation
• Notion, Google Drive, and local file integrations
• A persistent Skills library that works across every chat
• Quick-win prompts for outreach, LinkedIn, and client deliverables
• The mistakes that make your output sound robotic (and how to fix them)
If you run outbound, create content, or scale an agency...
This replaces 5-6 tools overnight.
Reply “CLAUDE” and I’ll send it over.
I just had Claude Code build me a Facebook ad generator that can make 100+ on-brand ad variations in minutes for $0. And I made a full Notion document guide for you.
It includes:
1. How to use Claude to find the pain points and desired outcomes of your ICP
2. How to use these pain points and outcomes to write ad copy variations
3. How to build a Facebook ad template entirely with code (just like the ones you see)
4. How focus Claude Code’s design so the ad feels “on-brand”
5. How to export the Facebook ads as PNGs in a zip file
6. How to bulk upload them to a Facebook ad set
7. How to use an AI data analyst to track the success of these ads
Everything above is just API calls and Claude Code doing the work for you.
You just come up with the ideas and polish the outputs.
Like and comment "generator" and I'll send the Notion document to you
🇸🇮 Obstaja nesporno dejstvo, da je SDS danes in v predvidljivi prihodnosti edina dovolj močna, izkušena in suverena stranka, da lahko predstavlja alternativo temu, kar smo doživljali zadnja leta.
Meta reports that partnership ads deliver 19% lower CPAs and 13% higher CTRs on average vs standard brand ads.
That’s why the most advanced Meta accounts are now allocating 20–50% of spend to partnership ads as a core growth lever.
So we’ve just released our Partnership Ads Playbook (Updated for 2026) built off what we’re seeing actually scale inside Meta accounts right now.
Inside, we break down:
- Why partnership ads outperform (and why it’s not about creators or follower count)
- How Meta actually interprets identity, creative, and signals
- The creative diversity multiplier and how identity unlocks incremental reach
- Benchmarks for CPA, CTR, FTI, frequency, and what “good” really looks like
- When to use founders, team members, existing creators, or persona pages
- How to source creators using Meta’s own tools (without wasting time in DMs)
- What to brief creators so content performs and still feels native
- Exact setup flows inside Ads Manager (including dynamic identity)
- Contract terms, usage rights, and what to negotiate (so you don’t get burned later)
- A full measurement framework to know what to scale, what to kill, and when
- Real examples from brands doing this well and why they work
Want it?
Retweet this post
Comment “partnership” and I’ll send it over
I recently spoke to a marketer who ran a $40M brand with just two designers and ONE AI process:
He gave me and my team a masterclass on using AI to scale marketing and creative.
Most brands use one tool with a bad prompt and hope it will solve all their problems.
He chains 7 different tools together for: ideation, image creation, video editing, and iterating based on performance.
ALL using AI and two offshore designers.
I paid him 6-figures to build these systems for my companies.
Now, I’m giving them away for free.
Repost + Reply “GA” to get the guide in your DMs.
just made a private group for GTM engineers and agency owners
we'll be sharing the MOST in-depth cold outreach sauce there is
you won't find this type of information anywhere else
reply "invite" and i'll send you an invite (make sure you're following)
I never run out of content to post anymore.
Built an automation that monitors 50+ news sources, scores articles for relevance, and writes social posts automatically.
It finds trending topics in my niche before they explode everywhere else.
Saves me 15-20 hours monthly and keeps me ahead of every trend.
Comment "NEWS" and I'll DM it to you (must be following)
Introducing Fin: The world’s first AI Chief Financial Officer.
Fin outperforms humans 100% of the time.
RT + Comment “FIN” and I’ll send you an AI agent that saves 6-7 figures/year.