McHenry Patricks

[McHenry Patricks @McHenryPatricks]

@AlfieJCarter Agents

[McHenry Patricks @McHenryPatricks]

@AlfieJCarter OS

[McHenry Patricks @McHenryPatricks]

@AlfieJCarter COWORK

[McHenry Patricks @McHenryPatricks]

@AlfieJCarter BIBLE

[McHenry Patricks @McHenryPatricks]

@AlfieJCarter CLAUDE

[McHenry Patricks @McHenryPatricks]

@AlfieJCarter Masterclass

[Alfie Carter @AlfieJCarter]

Claude just replaced the $100K/year GTM Engineer telling your team how to use AI...

(most GTM engineers are still using it like a fancy search engine)

→ No more paying for generic AI training that doesn't apply to your actual stack
→ No more 10+ hours weekly figuring out which Claude layer to use for which task
→ No more one-off prompts that produce output you can't reuse or scale
→ No more sessions that start from scratch because nothing was saved or systematised
→ No more generic output because Claude has no idea who you are or what you're building

Just load the Masterclass → full Claude GTM infrastructure running across Code, Managed Agents, and Cowork.

Here's how it works:
→ GCAO Prompting Framework (forces specific actionable output every time instead of generic advice)
→ GTM Project Setup (loads your ICP, voice, files, and standards into every chat automatically)
→ Skill File System (slash commands that run qualification, enrichment, and personalisation on any list)
→ Co-work Prospect Engine (blank slate to 10 researched prospects with screenshots and cold emails in one session)
→ CRM and Gmail Integration (reads contact history and drafts 15 personalised follow-ups from actual notes)
→ Opus 4.7 Decision Framework (adaptive thinking, 3x image resolution, and cost management mapped to GTM tasks)

Built on the full Claude stack. Runs without consultants, agencies, or infrastructure teams. Zero re-briefing. Zero wasted sessions.

The difference isn't the model. It's the system built around it.

While everyone's opening a new Claude chat and typing from scratch, this turns the full stack into a repeatable GTM engine.

Want the complete Claude GTM Masterclass?

Like + comment "MASTERCLASS" + repost, and I'll DM it to you.

(must be following)

[McHenry Patricks @McHenryPatricks]

@AlfieJCarter CODE

[McHenry Patricks @McHenryPatricks]

@mike_revenue blueprint

[Michael Davidson @mike_revenue]

I helped raise a company from $493K to $1.6M in valuation, spending 70 hours building a $35M AI operations system for them.

The founder was working 58 hours weekly before he came to me

But now is down to 25 hour weeks. ~zero time in delivery. 
( Profit margin also increased from 22% to 35% too )

> The founder was personally involved in 83% (exact % btw) of revenue. 

> 7 employees and most decisions still found their way escalating to him
> couldn't take a weekend off without his phone blowing up

we mapped every function in his business. what's actually keeping clients vs what's just keeping him busy.

69% of the operation was DRAG. reporting. project setup. invoice follow-ups. QA reviews. status calls. onboarding ran from memory every time. Scattered client data across multiple softwares.

so we stripped it all and here’s what we built to replace it:

> custom dashboard replaced him checking 6 tools every morning.
> AI agents took over reporting, proposals, and client updates.
> decision frameworks so the team stops asking him every question.
> QA system so he's not reviewing every deliverable.
> onboarding automated with material collection and client context immediately ingested Day 1.

The result:

> decrease his work load from 58 hours to 25 hour weeks. ~zero time in delivery.
> profit margin raised from 22% to 35%.
> valuation increase from $493K to $1.6M. (proprietary data set, owned software infrastructure, new revenue channel via system installation fees)

same clients, smaller team, same revenue. 

Now that his time is freed up , he’s taking on double the number of clients with this NEW AI architecture.

If you want me to do the same for you,

I’m giving away all of these for free: (today only)

1. How this $35M AI operations system works

2. Full Aerodynamics Audit — 75-question diagnostic that scores your business 0-100 on founder dependency, function maturity, systems infrastructure, revenue health, and AI readiness. Takes 60 minutes. You'll know your exact drag percentage down to the hour.

3. Drag Map — function-by-function breakdown showing which of your 10+ core business functions are load-bearing vs. drag, rated 1-5 on maturity. Most founders discover 60-85% of their hours are drag.

4. Financial Impact Report — what your drag costs you per month in dollars, what your valuation looks like with vs. without systems, and the margin unlock if you strip it.

5. Build Sequence — the exact order to systematize your operations so nothing breaks. Which function first, which stays human, what gets built in week 1 vs. week 2 and so on based on 30+ builds across 12 industries.

Comment "blueprint" to receive all 5 of these :)

( must follow + RT so I can DM )

[McHenry Patricks @McHenryPatricks]

@LoganTGott Claude

[McHenry Patricks @McHenryPatricks]

@Heyrohanislam SEO

[McHenry Patricks @McHenryPatricks]

@recap_david Agent

[David Roberts @recap_david]

I built an AI marketing agent to run my $100K media company.

After 4 months of prompting, tooling, and integrations, I built this agent that effectively replaced my content team.

Here’s how it works under the hood:

→ Scrapes Reddit, Hacker News, X, and Google News
→ Publishes a Morning Brew–style daily AI newsletter (10k daily readers)
→ Repurposes that content into:
 • viral Twitter threads (like this one)
 • short-form videos for TikTok & Instagram
 • Reddit posts
 • high-engagement LinkedIn updates
→ Produces content that’s driven millions of impressions
→ Generates custom, brand-aligned images for every unique asset

All automated.

The entire system runs through Jarvis-like voice commands, powered by ElevenLabs + n8n (see video below, I literally trained it on Jarvis from Iron Man).

No manual content creation.
No team to manage.
Runs while I sleep.

I'm no longer focusing on this business, so I'm giving all this away for free. If you want the complete system, prompting, n8n templates, & setup walkthrough:

Comment “AGENT”
Like & Retweet
Follow me (so I can DM you)

I’ll send everything over.

[McHenry Patricks @McHenryPatricks]

@recap_david @therecapai Newsletter

[David Roberts @recap_david]

I built a Morning Brew-style daily newsletter that writes itself with AI (now at 10,000+ daily readers)

(and I’m nuts for open-sourcing it)

The AI system behind @therecapai clones how a human writer would function, but each step is packaged into an agentic workstream.

The full automation handles:

→ Daily scrapping hundreds of reddit threads, hackernews, twitter posts, Google news API to build a massive data lake of 'daily AI news'
→ Dozens of custom prompts to pull the top daily stories from this data lake, write short breakdowns, & format the newsletter
→ Builds custom images based on each story with ChatGPT image generator

This was 5 MONTHS of iterating and fine-tuning prompts to get the output and content to an extremely high quality state (no AI slop)

and call me crazy, but I'm giving it away for free.

I'll DM you the full n8n template that you can copy/paste and fine-tune to your use-case as well as a full hour long video breakdown explaining the build.

Just Like & RT, follow me, and comment on this thread "NEWSLETTER" (must be following so I can dm you)

Also you can see the actual contents of the newsletter for yourself with the link below, proof of the quality that is possible with AI.

RIP legacy media companies 💀 AI is here.

[McHenry Patricks @McHenryPatricks]

@aryanXmahajan LUMA

[Aryan Mahajan @aryanXmahajan]

15 months ago I was figuring out AI Automations selling chatbots for $180.

Now I'm doing $80K/month selling to BCG, BMW & Fortune 500 companies.

(full system breakdown: Upwork → enterprise positioning → 50-person dev team)

Most people selling AI are stuck making these mistakes:
→ Cold DMing executives with zero buyer intent
→ Positioning as "automation expert" like every freelancer
→ Building alone and hitting $10K/month ceiling
→ Showing generic demos when enterprise wants custom systems

Meanwhile enterprise AI budgets sit untapped.

Just watch how I went from $180 projects to $20K+ retainers systematically.

Perfect for AI builders stuck under $20K/month who want enterprise clients.

Here's what's inside:
→ Upwork strategy that landed first client in 24 hours (high buyer intent vs cold DMs)
→ Live B2B system walkthrough (hyper-personalized copy from LinkedIn intel)
→ Internal referral loop (scaled past $20K/month, zero outbound)
→ Positioning shift that unlocked $20K+ monthly retainers
→ Shipping systems in 6 days vs 6-month agency timelines
→ Building 50-person specialist team (specialists only, async execution, zero bloat)

Same infrastructure deployed for BMW, BCG & Fortune 500 operations.

31 minutes. Real deployments. Zero fluff.

RT + follow & comment "LUMA" to get access in DMs.

[McHenry Patricks @McHenryPatricks]

@SendOwlHQ Book

[McHenry Patricks @McHenryPatricks]

@LoganTGott FUNNEL