Asnam Usman

@theaymanarab Interested

Thinking of giving away my $5800 agency course to some of you guys for free (no strings attached) Comment “Interested” and i’ll manually dm some of you the link once i have it ready

@lukepierceops PLAYBOOK

Late 2024: AI agencies sold n8n workflows for $2-$5K. Mid 2025: they pivoted to AI agents for $5-15K. Today: Claude Code ships in hours what used to take weeks, and most agencies are still pitching 2024's playbook. I spent 2 months rewriting mine for where we actually are in April 2026. Inside: → The offer closing $25K-$60K projects right now → Top 5 industries worth selling to this quarter → Content schedule generating my inbound (exact post types + cadence) → LinkedIn + cold email sequences booking calls today → My 4-call sales process from first touch to signed → The strategy doc + proposal template I'm using to close → 3 live client builds my team is shipping this quarter BONUS: First 100 people also get 2 discovery call recordings from my own sales process. Like + RT + reply PLAYBOOK and I'll DM you the link. Make sure to follow me so I can DM you.

@itsalexvacca EMAIL

Giving away the exact Custom Skills Folder we use inside Claude Code to write our cold email sequences at ColdIQ. Trained on the same emails that have generated over $10M for our clients. Plus the master prompt we engineered to clone their buyer psychology. I've tested every AI model for cold email. ChatGPT. Gemini. Grok. They all produce okay copy. But okay doesn't get replies. Claude Code is the first one that changed that. It doesn't come off as AI. It comes off as your best AE on a good day. How it works: > Drop in a target website, a LinkedIn URL, or a detailed ICP > It returns a 3-step outbound sequence > Fully optimised for Instantly > Under 45 seconds, start to finish It feels conversational. Opens strong. Ready to launch in your campaigns. Most people are still prompting ChatGPT to "write a cold email." This is what running 7-figure outbound in the background actually looks like. Want the Skills Folder, the master prompt, and the full system? → Like this post and follow me → Comment "EMAIL" and I'll send you the link.

@fivosaresti ABM

"ABM is only for enterprise teams with 6-figure budgets." That was true when 6sense was the only option. Now, with: - Clay - Claude Code - Signal tools like RB2B, Findymail, Jungler There’s no more excuse. Anyone can build full ABM infrastructure with a lean team. All you have to do is understand the 4 stages: 1. TAM mapping 2. Signal tracking 3. Awareness scoring 4. Demand generation. The RevOps layer that used to need dedicated headcount and 6-figure contracts now runs on a lean stack. Smaller teams with better infrastructure are outcompeting the ones who built ABM the old way. PS Comment the word "ABM" And I'll send you a massive breakdown we did on the 8 steps you need to build your ABM system.

@dimitarangg AI

i SHOULDN’T be giving this away for free but f*ck it: FULL guide on the AI infrastructure i used to automate 5,000,000+ cold outreach messages and book 1,000s of qualified calls for 24h, i'm sending it to ANYONE who likes + comments "AI" (must be following + RT for priority access)

@fin465 GUIDE

Now that we’re done at YCombinator, we’re revealing how we went from 0 → $10k MRR in our first 30 days, using only ONE channel (step by step). We spent less than $100 and didn’t have any paid ads, SEO, waitlist, or content marketing. Instead, we sent 50-75 highly targeted cold emails a day. Cold email is the most underrated channel because it's hard to get right, but if you figure it out you can sell ANY B2B product. Here's what we did from start to finish: STEP 1: Build an ultra‑specific customer profile at both company and person level. If you do this right, you can mess everything else up and still succeed. The goal here is to create such a perfect customer, that if they heard about your solution they would have no choice but to say "tell me more". Step 2: Build your list After you create this customer profile, find the companies that meet this criteria. Find 30–50 target companies on LinkedIn, then grab decision‑maker emails via Apollo/Wiza. STEP 3: Writing a killer email I used to run an outbound email agency and we'd send 50k+ emails/month to book b2b sales calls via cold email. Here are the basic principles of cold email writing that I always use: -Keep it 5-8 sentences. 70%+ of emails are read on mobile, so make sure they get most of it from that screen view. - Never write more than 2 sentences without breaking up the lines. People skim, and that’s the best way to keep their attention - DO NOT talk about your product’s features. - Instead, talk about the person, their company, and their pain points. STEP 4: The call I took 493 sales calls in Origami’s first 3 months. Here's what I learned: The 2 biggest goals for this call are - Figuring out the customer’s problems - Getting the customer excited about your solution Unless you already have PMF, it doesn't matter if you have a full built product. You still need to spend 90%+ of your time figuring out what the customer actually needs. In the early stages, you can even offer a full refund if they aren’t satisfied to give them maximum confidence and get your first few deals over the line. STEP 5: Closing/After Congrats! You cracked cold email. This was the exact approach we used at Origami to get our first $10k MRR, and the highest converting outbound approach I’ve seen when I ran my agency. I posted the stats in my prior tweets, but in our first 40 days we sent 3119 emails (~77 per day) and got a 5.3% response rate, resulting in demos with 64 founders at companies within our ICP. This resulted in ~$22k new MRR by the time our sales for all of these calls had closed. The best part is that once you nail this process, you can automate it. We've got our Origami AI Agents (@origamichat) finding new customers 24/7, which frees us up to explore new channels and focus on scaling. CONCLUSION This is a very short version of my guide. The full guide I posted on X last year (@fin465) hit 800k impressions and 10k+ bookmarks. If you want me to DM it you, comment GUIDE.

@jordan_ross_8F AI

My clients have added over $500M in combined annual revenue. Every single one that's falling behind now has the same problem. Theyre waiting too long to move on AI. Most agency owners think the tools are the hard part. They're not. Here's what I see inside agencies right now: → Reporting eating 10+ hours per client per month with nothing automated → Strategists doing work that should be running on infrastructure → Competitors responding to RFPs in hours while they take days → AI-native agencies being funded right now to take their clients → Revenue per employee flatlined while margins shrink We've invested over 50,000 hours building AI systems for marketing agencies. I put everything we've learned into a 33-page field guide to give you the basics you need to start playing the AI game. Inside the PDF: → The plain-English glossary — speak the language before you get sold the wrong thing → What AI-equipped agencies are actually outputting vs. traditional ones → A role-by-role playbook — IC, founder, or exec → The hiring filter — how to stop bringing on people who will slow your adoption → The security threats nobody is warning agencies about → How to use open source the right way → How to use Claude Cowork → And more The window is open but it's closing fast. Comment "AI" & I'll send it directly. (must be following for auto DM to send)

@cbwritescopy D100

I made a D100 prompting doc that you feed to a Claude project and it conducts the entire D100 process for you > Find ICPs to target based on your service > Find contacts in that ICP, pulled from LinkedIn > Researches the prospect and their company - pulling from their website, blogs, social media > Crafts outreach messaging, personalized to the prospect based on their research > CREATES THE D100 DELIVERABLE FOR YOU !!! Takes hours of dream 100 outreach and condenses it into a 10 minute process Comment "D100" and I'll DM you the doc so you can feed it to your own Claude project

@alxberman DISCOVERY

Giveaway! 🚨 I'm giving away my Discovery Call Framework - the exact script I used to close $600K in 2 months. Pre-written questions, value props, and a full structure to qualify and close B2B leads. Reply "DISCOVERY" and I'll DM it to you instantly 🔔

@yanndine COWORK

I just gave Claude control of my cold email campaigns. Here's what happened: Most cold email managers are stuck in the same loop: ☒ Log into Instantly manually every day ☒ Check metrics one sequence at a time ☒ Pause underperformers by hand ☒ Write new copy with no data to guide it Until we built the opposite. And I just recorded a full walkthrough breaking down the complete system: → How Claude logs into Instantly, reads your dashboard, and flags what's broken → How to set rules so Claude pauses sequences under 1% reply rate automatically → How Claude scales winning sequences by 20% volume without touching a thing → How Claude rewrites losing email steps using only your best-performing copy as reference → How Claude pulls weekly reports and saves them to a local folder - zero dashboard diving This isn't theory or fluff. I'm showing the exact prompts, the folder structure, the permission setup, and the confirmation flow Claude uses before making any changes. The wildest part? We do it all from one Mac with the Claude desktop app. (No extra tools. No dev work. No agency.) No bloated tech stack. No extra headcount. No manual ops work eating your week. This system is built on Computer Use - Claude sees your screen, navigates your tools, and asks for confirmation before anything risky. You stay in control. Claude does the work. Want the full breakdown? Follow me Reply "COWORK" I'll send it straight to your DMs.

@yanndine GTM

A two-person GTM team at a Series B SaaS company closed $2.4M in pipeline in one quarter. No SDRs. No demand gen agency. No paid ads. Signal-based outreach. Intent scoring. AI-sequenced follow-up. Automated reporting. Two GTM engineers running the whole motion - for one quarter. I pulled it apart. Compared it to every system we've built across the GTM teams we've worked with. Then asked myself one question: If I had to reverse engineer this from scratch - what would it actually look like? Turns out the architecture isn't that complicated. I mapped the whole thing into a step-by-step playbook you can upload directly to any LLM. It walks you through building your own version from GTM strategy to fully AI-powered execution. Comment "GTM" and I'll send it over.

@MichLieben PROMPT

Giving away a full Claude Project setup that builds advanced n8n workflows from a single prompt. This completely changed how we build automations at our $7M ARR agency. You write a basic prompt describing your workflow. Claude (Sonnet 4.5) reads it, breaks it down, and outputs an n8n JSON file you can import directly. It handles field mappings, data flow between nodes, trigger configurations, conditional branches, sticky notes for documentation, and error handling. What's included: → Full Claude Project setup you can copy-paste and run immediately → 70+ n8n documentation pages extracted from the official GitHub repo, so Claude knows the syntax and node references → Templates and frameworks for use cases like lead routing and social listening → Real prompts vs. the workflows Claude actually built, so you can see what worked and what didn't → SOPs to update the documentation every time n8n ships a new feature "How to build n8n workflows?" has always been harder than "what n8n workflow should I build?" This flips it. Spend your time thinking about which automation moves the needle. Let Claude handle the build. Reply "PROMPT" and I'll DM the full setup guide. Must be following.

@dan__rosenthal Agents

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)

@evanseech @im_c0m CLASS

Thursday at 6PM EST… I’m going live to cover the ONLY 4 things you need to make ads work: 1) The Offer 2) The Messaging 3) The Ads 4) The Sales Process Live on Zoom. 500 revamped slides. All free 👉 Comment “CLASS” & I’ll shoot you the link to join

@oliverwhudson persona

We mapped the full persona-led creative system we run for 8 and 9-figure DTC brands. It's yours. Persona-led creative strategy has been the single biggest topic of conversation in our world over the last 6 months - across our client work, our podcast, our Meta partnership, and the broader DTC community we're part of. The problem is that the conversation has been scattered. A framework here, a podcast episode there, a case study buried in a guide. Brands were getting pieces of the picture but not the full system. So we built this. Everything on this board reflects what we are actively doing right now for the 8 and 9-figure DTC brands we work with - from the AI research stack we use to build personas, to the brief structure, to the testing tiers and optimisation rules we run in accounts every day. It's informed by our own data, our official Meta partnership research, and the conversations we've had with people like Maxime - Meta's Creative Strategist for Disruptor brands - who gave us a rare look at how Andromeda actually works from the inside. A single, chronological walk-through of the full persona-led engine - so you can see not just what to do, but why each step feeds the next. Want it? Retweet this post Comment "persona" and I'll send it over

@troyaitken_ setup

I run a $110K/month agency with 6 AI employees. They have names. Personalities. Jobs. One writes content. One monitors infrastructure. One runs campaigns. Here's the full setup: Most people use AI like a search engine. I use it like a staff. The difference: context files that make each AI know its job, its boundaries, and me. USER.md — Who You Are Teaches AI everything about you: → Name, location, timezone → Your business and goals → Working patterns and communication style The AI can't serve you if it doesn't know you. SOUL.md — Personality & Principles The AI's operating system: → Core truths ("Be resourceful before asking") → Communication style and banned phrases → Boundaries and business context This turns a generic assistant into YOUR assistant. IDENTITY.md — Who the AI Is Give it an identity: → Name (mine is Jarvis) → Role (chief of staff, content writer, etc.) → Vibe and operating principle An AI with identity has consistency. AGENTS.md — The Operating Manual The longest and most important file: → Startup routine (what to read first) → Memory system (where to log, what to remember) → Safety rules and learned mistakes MEMORY.md — Long-Term Memory Persists across sessions: → Discovered preferences → Business learnings → Key decisions made Without this, you restart from zero every conversation. TOOLS.md — Integration Notes Your AI's reference manual: → API endpoints and workflows → Team contacts → What works and what breaks Skills — Specialized Instructions Auto-trigger based on keywords: → Content generation → Sales follow-ups → Lead enrichment → Customer onboarding The Agent Squad I don't have one AI. I have six: → Jarvis — Chief of Staff → Loki — Content (8am + 3pm daily) → Ivan — Infrastructure (20K email accounts) → Hades — GTM campaigns → Scrapy — Data extraction → Trigify — LinkedIn scraping Each has its own context, memory, and job. How They Work 8am — Loki writes 5 tweet drafts 9am — Posts to Slack 10am — I approve 2. Done. No prompting. It runs on a schedule. Safety My AI once bought 164 domains without asking. $1,640 gone. Now I have: → Trusted user verification → Financial action gates → Prompt injection defense → Regressions (mistakes become rules) Proactive Behaviors The AI doesn't wait: → Cron jobs for scheduled tasks → Heartbeats for check-ins This is the difference between a tool and an employee. The Stack: → OpenClaw (open source orchestration) → Context files → Skills → Agent squad → Tool integrations → Cron + heartbeats Everyone's sharing AI setup guides. That's a good start. This is what happens when you go 10x further. Not a chatbot. A system that runs while you sleep. Like + comment "setup" and I'll DM you the full template.

@evanseech ADS

We took a SaaS client from garbage lead quality to a sustained 3.3x ROAS. Here's the full breakdown: When we stepped into this account, every single Calendly booking was feeding back into the pixel... qualified, unqualified, all of it. And because of that… • The data was mixed • Audiences were inconsistent • AND the cost per qualified call was all over the place. So we made 3 big moves: 1. Switched from a custom conversion event to a standard event to leverage all of Meta's advertising data 2. Introduced video ads (one hit a 53% hook rate) 3. Built a tiered qualification system so only A+ MQLs feed back into the pixel IMMEDIATELY we had predictable costs and a 3.3x ROAS they were able to actually sustain. I recorded a full walkthrough inside the actual ad account showing every optimization we made and why. Want to see it? Comment "ADS" And I'll send it over via DM. (must be following) PS I don't care if your cost per result says $40 or $280. If the quality is garbage, your pixel is learning the wrong things. This video explains how to fix that.