Greg Dickson

@RCIllingworth Gemini

We've set up 250,000+ inboxes for 2,000+ cold email teams. Along the way, I built a swipe file worth $10M+ in pipeline. This has our ENTIRE cold email system. It covers everything from finding leads, to writing emails that actually get replies, to building infrastructure that can send 100k+ emails/mo. Inside, I included: • 40+ resources covering every stage of cold outreach • Lead scraping playbooks (LinkedIn, Google Maps, Apollo, Sales Navigator, job posts, website visitors) • Copywriting templates, subject line banks, and CTA formulas • Follow-up strategies that add value instead of annoying prospects • Personalisation tactics that still work in 2026 • Deliverability frameworks so you stop landing in spam • Campaign build workflows from start to finish • Pre-send QA checklists, performance benchmarks, and automation rules This is the exact system our team uses to run cold outreach at scale. So for the next 48 hours, it's free. Just comment "Gemini" and I’ll send it to you. (MUST BE FOLLOWING) I'll send it over ASAP. PS RT this and I’ll ALSO send over our custom GPT we use for cold email copywriting.

@jordan_ross_8F OPENCLAW

The founders who figure out OpenClaw in the next 90 days are going to look like geniuses in 2027. The problem is most agency owners don't have time to figure out the install, the security risks, where to start, or what to actually hand it first. So my team built a 48-page beginner's guide that does it for you. Inside: — The exact prompts to hand it on day one — Plain English setup for Mac and Windows — How to secure it so it doesn't burn your business down — 42 copy-paste workflows across sales, marketing, ops, and finance Your competitors are sleeping on this. Comment OPENCLAW and I'll send it.

@hamza_automates 500

I BUILT A $5,000 AI AUTOMATION FOR ROOFING COMPANIES And you can copy it. This one handles everything roofers hate touching: • Reads the incoming job requests • Pulls out the project details • Checks availability • Builds the estimate using their exact pricing logic • Sends the proposal • Books the job • Follows up • Invoices • Collects payment • Requests the review All without the owner unlocking their phone. Same CRM. Same calendar. Same inbox. Just a system doing the work instead of a human. If you want the breakdown (how it works, what tools run it, and the logic behind the whole thing): Comment “500” and I’ll send it to you. (must follow for DM)

Automation consultants charge $15K for what Claude Code now does in 2 hours. I know because we're the ones who used to charge it. Here's the exact process: Step 1: Discovery (20 min) → Paste your org chart, tool stack, and top 3 bottlenecks → Claude interviews you with clarifying questions → Outputs a full process inventory ranked by time cost Step 2: Workflow Mapping (15 min) → Describe any department's daily operations in plain English → Claude builds a complete process map → Every manual handoff, redundant step, and automation trigger flagged Step 3: Opportunity Audit (10 min) → Feed it the workflow map output → Returns your top 10 automation opportunities → Ranked by ROI, complexity, and build time Step 4: Architecture Design (20 min) → Claude designs the full system architecture → Which tools connect where, what the data flow looks like → Agents for complex logic, linear flows for the repetitive stuff Step 5: Build (ongoing) → Claude writes the actual workflow JSON → Self-documents everything as it builds Step 6: The output. A live dashboard your whole team can work from. → Clickable process maps for every department → Automation opportunities ranked by ROI → Implementation progress by phase → KPIs updated in real time → One link you share with clients, freelancers, or your team to execute This is what we hand every client at the end of discovery. The .md file is what makes all of it possible. Without it, Claude guesses. With it, Claude builds like a $15K consultant. Like this post, RT and comment "BLUEPRINT" and I'll send you the full prompt stack and the .md file we use internally. (Must be following so I can DM you) 🎁 Bonus: The first 100 people get a real Precision AI Blueprint — an actual sample audit doc from a client engagement so you can see exactly what the output looks like.

@lukepierceops BLUEPRINT

The Net Zero lie must be completely scrapped.

@troyaitken_ INTENT

We replaced our $999/mo Trigify subscription with ~$70/mo of APIs 🤯 here's the system that tracks LinkedIn intent for our cold email campaigns: step 1: find relevant posts by creator → Apify post search (no cookies needed) → keywords like "cold email" "sales automation" "outbound" step 2: scrape engagers → pull likers + commenters from those posts → someone engaging = signaling intent step 3: score against ICP → title (40 pts), seniority (20), topic relevance (25), engagement (15) → only 50+ point leads proceed step 4: waterfall enrichment → AI.ARK → @leadmagichq → Icypeas → MillionVerifier validates emails step 5: push to outreach → @clay webhook → Email Bison → 3-email sequence with context from their engagement input: keywords + influencer profiles output: verified, intent-qualified leads $12K/year Trigify → ~$840/year in APIs. wrote the full breakdown with copy and paste code. comment "INTENT" + like + follow and I'll DM it.

@freddiexpott Rotate

LINKEDIN JUST RESTRICTED MY CLIENT ACCOUNTs for doing exactly what they teach in their "best practices" guide here's what happened: LINKEDIN'S OFFICIAL ADVICE: "personalize every message" "engage authentically" "build genuine connections" MY CLIENTS FOLLOWED IT: (BEFORE working with me) - spent 15 min personalizing each DM - referenced prospects' actual posts - thoughtful, relevant messages - was closing deals, booking like 10-15 calls/wk RESULT: accounts restricted for "spam" meanwhile: competitor sends 800 GENERIC dms/day using automation copy/paste templates zero personalization 14% reply rate RESULT: zero restrictions i messaged linkedin support their response: "our AI detects PATTERNS, not quality if you're sending similar message structures repeatedly even if personalized it looks like automation" so the algorithm: - punishes thoughtful personalization (if you use a structure) - rewards mindless variation (even if it's garbage) quality gets banned quantity gets rewarded the entire platform is backwards here's the workaround we discovered: rotate between 12 different message structures same psychology different wording patterns confuses the AI detection result: - 5,000 personalized DMs/month per account - 14% reply rate maintained - can be scaled - zero restrictions in 6 months the complete structure rotation system: - all 12 message frameworks - when to rotate (timing patterns) - how to personalize without triggering AI - which phrases get flagged - account safety protocols comment "Rotate" for the full system must be following (linkedin's already mad at me)

@WorkflowWhisper OPUS

opus 4.6 just mass-produced what consultants sell for $103,500. 10 prompts. 65 minutes. instant n8n workflows. i tested every one with opus 4.6 + synta's MCP connected to my instance. no debugging. no node dragging. no JSON. describe it. deployed. running. here's what each prompt builds: 1. lead enrichment + scoring pipeline - 4 min 2. competitor price monitoring with AI analysis - 8 min 3. full client onboarding (form to invoice) - 11 min 4. voice AI receptionist with call routing - 9 min 5. content repurposing engine (1 blog to 6 platforms) - 6 min 6. invoice recovery + follow-up system - 5 min 7. daily CEO dashboard from 4 data sources - 7 min 8. cold outreach sequencer with personalization - 8 min 9. review response drafter + publisher - 3 min 10. meeting no-show rescuer with rebooking - 4 min every workflow self-healed on first run. opus 4.6 caught the errors, searched for fixes, applied them, re-tested. zero human intervention. i put everything in a free PDF: - 10 copy-paste prompts (word for word) - build times vs consultant pricing for each - opus 4.6 + synta MCP setup guide (5 min) - the 2-message framework i use for 100% completion comment "OPUS" and i'll send it. (following required for DM)

i booked 2,000+ calls and generated just under $400k cash in 2025 with cold email wanted to show you exactly how i write scripts took 5 random offers from my community and wrote copy for each one i'm giving away all 5 scripts + full breakdowns on why each line works like + comment "SCRIPTS" and i'll dm you (must follow + RT for priority access)

@scaling_shields SCRIPTS

Claude Opus 4.6 just KILLED manual outreach. 💀 And I’m not going back. I used to waste hours writing “personalised” LinkedIn messages. Now? My AI stack does it better than I ever did 🧠 ❌ No copy-paste templates ❌ No “hey {{first_name}}” spam ❌ No burnout by message #26 After testing every major model this year, one thing is clear: Claude Opus 4.6 = outreach that actually gets replies. 500+ conversations this week 🚀 Human-level reply rates 🛰️ 12+ hours saved ☄️ I packaged the full system into a doc. Want it? Connect with me Comment “OPUS” Repost ♻️ for priority access 🚀

@romanbuildsaas @pierreeliottlal OPUS

@recap_david AI ADS

I know a guy running AI street interviews as paid ads... 4.5x ROAS. $0 spent on creators. $0 spent on production. Here's 11 AI video tactics brands are using to create viral ads for nearly $0: 1. AI street interviews (you can't tell they're fake) 2. Podcast-style clips that look 100% real 3. Viral food videos with zero kitchen 4. Anatomical video animations 5. Localization at scale — clone ads into any language instantly 6. Try-on videos without a single model 7. Shock hooks getting 47% higher completion rates 8. Product-style commercials 9. POV adventure content for travel brands 10. Real estate transformation videos 11. AI unboxing videos Most marketers have no idea these exist yet. I put together a free PDF with the exact prompts for all 11 along with the tool I'm using. Comment "AI ADS" and I'll send you everything (must be following so I can dm you!).

@mikefutia Meta

I just vibe coded a Meta Ads creative analytics tool in Claude Code 🤯 It syncs your ad accounts, AI-analyzes every creative, and tells you exactly what's working, what's not, and WHY. Built 100% in Claude Code. Perfect for DTC brands and agencies who are tired of staring at Meta Ads Manager trying to figure out WHY an ad is working or not. Here's the problem: Meta gives you the data. Spend, ROAS, CTR, hook rate. But it never tells you WHY an ad is performing or what to do about it. You're left manually watching videos, guessing at angles, and making gut-call decisions on what to iterate. This tool solves it: → Connect your Meta ad accounts → AI watches every video and analyzes every static → Auto-labels each ad by asset type, messaging angle, hook tactic, and funnel stage → Win rate analysis broken down by every category → Kill/scale recommendations segmented by TOF, MOF, and BOF → AI-generated iteration recommendations for every underperforming ad No manual video watching. No guessing at what's working. No spreadsheets to track creative performance. What you get: - Full creative analytics dashboard - AI classification on every ad - Iteration priorities for ads with real spend behind them - Weekly reports with top/bottom performers and AI insights I recorded a full walkthrough showing exactly how this works and what every feature does, including ALL the prompts I used so you can build it yourself. Want access to all the prompts for free? > Like this post > Comment "META" And I'll send it over (must be following so I can DM)

@maverickecom AGENT

We replaced a $750K/year marketing team with 12 AI Agents. No actors. No products in hand. No ghost creators. No missed deadlines. Just viral TikTok Shop sales — 24/7. Here’s the crazy part: This system produces 100+ cinematic, product-ready ads per day from a single prompt. And it feels exactly like running Facebook Ads in 2008 — except the CPMs are even lower, and the entire loop is organic. Here’s how the AI Creator Agent System works 👇 Each Agent runs its own TikTok Shop profile and handles an entire growth function: • Trend + angle research using Kalodata • Competitor ad cloning (paste their ad → pick an avatar → regenerate) • Automated creator outreach with Clawdbot moltbot • Daily content generation using Arc Ads • Localization, repurposing, and multi-format output • Compliance cleanup + optimization • Automatic posting across a Multi-Platform Swarm (hundreds of agents) No touchpoints. No delays. No human bottlenecks. Just a decentralized force of AI + UGC creators selling while you sleep. Real results: • $0.10 CPMs • Thousands of organic views daily This is the Creator Agent Method: a plug-and-play system that replaces entire creative teams and launches content at a speed humans simply can’t compete with. I packaged all 12 Agents + AI V2 workflow so you can deploy the exact system for your brand. Comment AGENT and I’ll DM you everything for free. (Deleting soon) P.S. Repost for early access to the complete 12-Agent stack

@IMJustinBrooke Skills

I reversed engineered every skill in digital marketing and then trained my AI on all of them. Here’s how I did it... Oh, and I’m giving away all 84 marketing skill files at the end of this post. This all took place over 5 days. Step 1: The Skill Tree I started by working with @ManusAI because I knew I was going to need their almost infinite context window. My first request was for Manus to create a skill tree starting with the base skills of earned media, paid media, and owned media. Aka paid traffic, free traffic, and your own subscribers. We started cookin up branches and branches of skills from those 3 base skills. Step 2: Teams of Experts I noticed Manus was struggling to think outside of the basics so I started asking it to embody expert after expert. For example: “Embody Neil Patel and critique this skill tree for what’s missing.” “Embody Frank Kern and critique this skill tree for what’s missing.” “Embody Russell Brunson and critique this skill tree for what’s missing.” After I brought in 12-15 virtual experts to critique the skill tree we (me & my pal manus) had over 1900 individual tactics mapped out across 152 unique categories of skills. Step 3: Coworking with Claude At this time Manus hadn’t released their skills feature yet. But Claude had a skill creator skill. First I filled in Claude on the details of the project and the goal. Because context. The other reason for using Claude was because with Claude Desktop in Claude Cowork mode you can work directly with files and folders on your computer. This was key to the organization, context, and memory for this project. Once Claude was up to speed I asked it to remove overlapping skills and tactics. Stuff like SEO for Google vs SEO for Bing. We came up with 84 total skills that would need to be created that would encompass all 1900(ish) individual tactics. For example the media buying and planning skill includes writing headlines, customer personas, keyword research, copywriting etc. And then we locked in… Step 4: Best Practices Ranked For each of the 84 skills I had Claude go into deep research mode and create a report on the best practices for that skill. This means each skill was based on reading no less than 300 articles about that skill. Then I would review the skills with my own 20yrs of experience overlooking what it found. When I felt it was shallow on something I would ask Claude to embody a specific topic expert to enhance that skill. Giving us 84 best practice documents that were extremely thorough, human reviewed, and expert enhanced. Next I sent these docs back to Manus for its wide research mode. Manus can do up to 150 tasks in parallel. Essentially running 150 prompts at once. I told Manus to rank every tactic in these best practice reports from S-tier (always do) to D-tier (never do). This created huge context and rulings that would be necessary for our final skill files. Step 5: Creating Skill Files Back to Claude. One by one I asked Claude to use the skill creator skill with my best practice reports and the S-tier rankings. My wife kept the coffee flowing while I grinded these out. For some like the long form sales letters skill I even included examples as reference files. And then I loaded all 84 skills onto a directory I vibe coded into my website. All 84 of these skills + an 85th I’m working on are available for free. Just comment “skills” and I’ll DM you the link. Can’t post it because algo will throttle this post. Bookmark this so you have a recipe for creating your own skills too. Follow @IMJustinBrooke for more wallets fattening tips on using AI for marketing.

Claude Cowork just KILLED manual outreach. I used to grind for hours on LinkedIn. Now? My AI stack does it better. - No "Hey {{first_name}}" spam - Natural, multi-step conversations - 12+ hours saved this week The result: 500+ conversations with human-level reply rates. I packaged the entire system (prompts + workflow) into a FREE doc. Want it? Repost (so others see it) Comment "CLAUDE" & I'll DM you.

@pierreeliottlal CLAUDE

@prakshaljain_ on the waiitng list!

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