U.M.O.S.M. @UMOSM
Light Hearted Solidarity Amongst Men in Regards To Social Injustices On & Off Line. Somewhere annoying someone Joined March 2009-
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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 spent the last 45 days writing a 86-page book covering absolutely everything I know about how to successfully run outbound in 2026. When I say everything, I mean EVERYTHING. > Company context analysis and market evaluation > ICP definition and Pain-Qualified Segment (PQS) modeling > TAM mapping across 15+ industry segments > Offer creation and the three types of cold offers > The psychology of cold email and pattern disruption > 10 fundamental copywriting principles from 10M+ emails sent > 6 proven cold email script frameworks with real examples > 5 messaging angles to test across campaigns > AI prompts for generating full A/B test script matrices > Email sequencer setup and which tools to use at which volume > Domain setup rules and secondary domain best practices > Reserve infrastructure and inbox cycling strategy > Deliverability signals, spintax, and campaign settings > How to identify burned accounts and recover fast > The four types of data sources and when to use each > The Campaign Score Formula for predicting results before launch > Speed-to-lead system and why response time kills conversions > 5 reply templates covering 90% of responses > Follow-up strategy across email, LinkedIn, phone, and SMS > Pre-call workflow that lifts show rates from 30% to 70%+ > Post-meeting process: proposals, contracts, and onboarding I told you I meant EVERYTHING. The insights in this book come from the experiences of 10M+ emails sent, 20,000+ leads generated, and deca-millions in pipeline value created. This e-book is NOT free, but it costs less than a Chipotle bowl with guac. (There needs to be a slight level of gatekeeping for this one) Want to get access to it? Comment “Playbook” and I’ll DM you the link to it. [Must be following to receive]
I’m all in on AI-Native agencies. Before, agencies required: 1. Low margins 2. Manual work 3. More people to grow. Now: They’ll look more like software companies. (with 10x higher price points) Our goal at Workflows is to become the no. 1 "service-as-software" for GTM. Right now, we have 13 agents in our org chart. And we’re “hiring” 10 more. This is our plan to stay an extremely lean team. (comment AGENTS and I’ll send you our full org chart) Across departments: 1. Content Team • Competitor Research Agent • Content Ideator Agent • Interviewer Agent • Designer Agent • Repurposer Agent • Newsletter Agent • Client Track Agent 2. GTM Team • List Building Agent • Qualification Agent • Outbound Plays Strategist Agent • Copywriter Agent 3. Sales Team • Pre-Call Assistant Agent • CRM Assistant Agent • Email Assistant Agent • Sales Analyst Agent 4. Project Management Team • Project Tracker Agent • Outbound Reporting Agent • LinkedIn Reporting Agent 5. Customer Success Team • ICP Matrix Agent • Company Research Agent • Meeting Summarizer Agent • Onboarding Agent • Expansion Agent Want our full agents + humans org chart we’re using to scale? Comment "Agents" and I’ll DM it to you. (must be following)
Claude + one blog + Pinterest = $1,007/month per blog. But Claude alone didn't do this. I built the system first. 6 years of Pinterest data. Then plugged it into Claude. Now it runs 10x faster than any human team could. Claude writes the content. Pinterest sends the traffic. Ad networks deposit $1k/month per blog. I documented everything for FREE. From zero to $1,000+/month per blog BLUEPRINT. 👉 Like and Comment "BRAIN" to get it (follow me so I can DM)
I replaced a $200K GTM hire with @openclaw 😱 here's the system that runs my outbound: step 1: mine LinkedIn engagement → @rapidapi scrapes everyone engaging with niche content → someone who commented on specific posts = 10x warmer step 2: enrich + verify → Hunter/Apollo finds the decision-maker + email → @Perplexity deep research pulls signals like hiring, fundraising, media appearances, quotes step 3: score against your ICP → title, company, signals = ranked 0-100 → only A-tier leads get touched step 4: write personalized outreach → Claude writes outreach referencing what they ACTUALLY engaged with and talk about step 5: send via @instantly_ai → 3-email sequence. automated follow-ups. step 6: pre-call deep research → @PerplexityComet builds a 1-page briefing 30 min before every call input: your ICP + niche keywords output: booked meetings with people who already care $200K/year GTM engineer → $130/month in APIs. I packaged the entire system as the First 1000 Kit: - all 8 @openclaw skills - every prompt - tool-by-tool setup - email sequences that convert giving it away free. comment 1000 + like + follow (must follow so i can DM)
I went from $500 Upwork projects to $500K+/year selling AI systems. I legitimately made every mistake you can make. Undercharging, scope creep, building without mapping, hiring wrong, pricing hourly. Then I figured out what actually works and doubled down. I put the entire playbook into a free guide. Here's what's inside: → How I went from Zapier gigs to $25K-$60K projects → The pricing shift that 5x'd my revenue (and the exact formulas) → My 4-call sales process for closing $25K-$60K+ deals → The discovery framework that turns calls into signed contracts → How I built a dev team without burning cash → The fulfillment system that keeps clients for years → How I position against agencies 10x my size and WIN → The content engine that fills my pipeline without ads or cold outreach → Every mistake I made and what I'd do differently starting from zero This took 4 years, 80+ clients, and a lot of painful lessons. Yours for free. RT + reply "AGENCY" and I'll send it over. (Must follow so I can DM
I built an openclaw tool that automatically builds websites for leads it scrapes from google maps, auto-records the website as a video, and sends it to them as a cold pitch... It literally screen records the website that was made for THEIR business, so the lead will feel it's personalized This is an all encompassing machine to sign clients and fulfill all in one loop Reply "video" and I'll DM you a free prompt to build it yourself. (must be following)
R.I.P. Traditional SEO. I just hijacked LLMs to drive 5,000 visitors to my funnel every single month. While most founders are still fighting for Google rankings, I’ve found a "cheat code" for 2026. Most people think SEO is about keywords and backlinks. They spend thousands on agencies only to see their traffic disappear with every core update. But the game has changed from Search to Answers. I built a system for AEO (Answer Engine Optimization) that forces AI models to recommend my brand first. The results are terrifyingly effective: → +15% organic traffic; 5 high-intent pages ranking top 10; 0 Core Web Vitals failures → +40% organic traffic; 20 pages top 10; 30% increase in AI Overview presence; +25% conversion rate → 3x organic traffic; 50% of top keywords owned I’ve just finished a full tutorial breaking down the exact AEO workflow we use to dominate the "Answer" era. The best part? It costs $0 compared to an SEO agency charging $3,000+ monthly. Want the full AEO Traffic Blueprint? 1. Follow me 2. Like post 3. Comment "AEO" below & I'll send DM! PS - Repost this for priority access and I'll send it over even faster. ♻️
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