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Claude + Reddit intelligence + LinkedIn data = Content OS that replaced a $14,500/month team. (48K followers. 500+ booked calls. $387K in attributed revenue) This 6-skill system eliminates writers, strategists, researchers, and schedulers using brand memory + real audience intelligence + calibrated AI writers... → No more $14,500/month payroll...

60,874 просмотров • 12 дней назад •via X (Twitter)

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I just built a Brand Operating System inside Claude Cowork 🤯 A connected system of files that every skill automatically reads from, so your hook writer, brief generator, and script writer all speak in your exact brand voice. All inside Claude Cowork. Perfect for DTC brands and agencies tired of generic AI output that sounds like every other brand in their category. If you're opening a new Claude chat and re-explaining your brand, re-pasting your voice guidelines, and re-describing your customers every single time, a Brand OS fixes the entire loop: → Build 3 foundation files once per brand → Every skill you create reads from the Brand OS automatically → Hook writer pulls your voice + customer pain points → Brief generator pulls your positioning + angles → Script writer pulls the brief + brand DNA → Every output is calibrated to your brand on the first pass No re-briefing Claude on every chat. No editing for an hour to fix generic AI phrasing. No creative that sounds like it could belong to any brand. What you get in the playbook: → The exact Brand OS file structure I use → Templates for all 3 files you can fill in for any brand → The architecture that makes every Claude skill 10x sharper → The exact setup for agencies running a Brand OS per client For agencies: this is how you build a perfect, reusable knowledge base for every client on your roster. Set up the Brand OS once per client, and every campaign after that is already calibrated. I put together a full playbook with the file templates, the architecture, and the exact setup process so you can build your own Brand OS for your brand or your clients. Want it for free? > Like this post > Comment "OS" And I'll send it over (must be following so I can DM)

Mike Futia

30,098 просмотров • 2 месяцев назад

We replaced our $247K/year content team with an AI Content System while I was arguing with a chatbot about pineapple on pizza at 2am, it wrote 47 LinkedIn posts, 12 Twitter threads, and a full YouTube script. What agencies charge $8,997 for (12-week strategy)... Now takes 47 seconds. Unlimited platforms. here's what the system does: – uploads your business context → instant brand voice analysis – maps audience fears, beliefs, objections, dream outcomes – writes 50+ psychological hooks ranked by engagement potential – auto-generates platform-specific formatting (LinkedIn, Twitter, newsletter , VSL ready) – eliminates AI slop with authentic voice preservation no more $15K content teams that don't understand your business or sound like ChatGPT threw up on your feed. it's like having the entire Mad Men team - except they actually understand your ICP and don't need 6 weeks to "learn your voice." the results speak for themselves: → 10+ qualified calls per week from content alone → 15x content production speed → 90% time reduction (15 hours → 90 minutes weekly) → 50+ qualified leads monthly from content alone → One client eliminated 3 content positions in 7 days this isn't another AI wrapper with fancy promises. it's business intelligence deployed at machine speed. Comment "CONTENT" + repost this + follow me I'll DM you the complete system in the next hour skip this, and keep paying teams that take 3 weeks to create content that sounds like everyone else's.

Aryan Mahajan

18,981 просмотров • 10 месяцев назад

R.I.P. Fable 5. Perplexity + Reddit + Opus 4.8 = AI SDR that still booked a $20B hedge fund. (38% reply rate. 30 qualified meetings a month. 0 SDRs hired.) This system reads 1,000+ companies every morning and only writes to the ones already in buying motion... → No more $200K/year SDR payroll for manual account research → No more 10,000 cold emails for a 1% reply → No more bought lists going stale in weeks → No more guessing who's actually ready to buy → No more openers that read like templates Just 1 morning run → the 30 accounts worth calling today. I built it around one rule: never depend on a single model to run. Opus 4.8, GPT 5.5, Mythos, Fable 5 — there will always be a new LLM. Today the US government proved why. The system didn't notice. Here's how it works: → ICP Intelligence (Perplexity does a month of buyer research in 15 minutes) → Account Radar (reads 1,000+ companies every morning, keeps only the matches) → Buying Window (3 live triggers per account: a raise, a key hire, a launch) → Buyer Language (lifts your buyer's exact 5 phrases off Reddit, nothing reads like a template) → Voice Match (drafts a 3-line opener off that signal, in your voice) → Orchestration (Fable runs the whole pass and hands you the 30 to call today) Built on real outbound infrastructure. Model-agnostic. Runs every morning without supervision. Government bans included. Results from my own pipeline: - Reply rate from 1% to 38% - 30 qualified meetings a month, 0 SDRs hired - A $20B hedge fund and a $15B fund booked - $340K in new pipeline last quarter Want the complete build? Like + comment "RECON" + repost, and I'll DM it to you. (must be following)

Aryan Mahajan

26,420 просмотров • 6 дней назад

I just built a content engine in Claude Code that writes blog posts in your brand's exact voice 🤯 One Claude plugin runs the whole content workflow: brand voice, research, writing, AI-slop scoring, and repurposing into social. It writes in YOUR voice, refuses to fabricate stats, and scores every draft 0-100. All inside Claude Code. So I pointed it at Grüns, one of the sharpest DTC brands out there. I fed it their homepage. In seconds it built a brand-voice profile, their playful anti-hype tone, the "Rip. Tip. Enjoy." cadence, the AG1-switcher audience, the 4.8★/100k-review proof. Then I asked for one post: "why your gut health controls your skin, hair, and energy." It came back publish-ready and scored 89/100 on the first pass: → Answer-first, with question headings AI engines can quote → Zero AI-slop phrases (no "unlock," no "in today's fast-paced world") → And it refused to invent a single stat, the fastest way to get a supplement brand demoted It sounded like Grüns wrote it, not ChatGPT. Perfect for e-comm operators and agencies who are sick of AI tools that all sound identical, $300 freelance posts that still need a rewrite, and content that reads like the slop Google now punishes. So I put together the full playbook to build your own. The complete guide to building this content engine in Claude Code: branded to you, tuned to your voice, repeatable across every client. The kind of post you'd pay a freelancer $300 for, written in minutes, in the brand's actual voice. What's inside: → The architecture (orchestrator + writer/editor/researcher agents) → How to capture any brand's voice into a reusable profile → The 0-100 scoring + AI-slop detection framework → The one-post-to-a-week-of-social repurposing loop → The full build, start to finish Want the playbook for free? > Like this post > Comment "CONTENT" And I'll send it over (must be following so I can DM)

Mike Futia

23,298 просмотров • 18 дней назад

I just built a Claude Code plugin that automatically researches viral trends in any niche 🤯 Drop in your niche -> and it surfaces the hooks, angles, and topics going viral right now across Reddit, YouTube, TikTok & Reels, so you always know exactly what to post. All inside Claude Code. Perfect for DTC brands, agencies, and creators who are tired of guessing what to make. If you're spending hours "researching" content, doom-scrolling TikTok for ideas, copying competitors who are also just guessing, staring at an empty content calendar every Monday... This plugin kills the entire loop: → Drop in a keyword (your product, your niche, a competitor) → It scrapes Reddit, YouTube, TikTok & Instagram Reels → Ranks every post by real engagement → Pulls the hooks, pain points, & exact customer language that's working → Renders a clean content-brief dashboard telling you what to make No guessing. No doom-scrolling. No blank calendar. I ran it live on "magnesium for sleep" — in 3 minutes it surfaced a 5.1M-view hook and the exact complaint customers keep repeating ("it works for a few weeks, then stops"). What you get: → The top hooks already winning, with real view counts → Your customers' pains in their own words → The formats getting watched right now → 3 ready-to-shoot content ideas Built 100% in Claude Code (with Apify + Firecrawl). I created a step-by-step playbook that shows you how to build it yourself. Want access for free? > Like this post > Comment "TRENDS" And I'll send it over (must be following so I can DM)

Mike Futia

77,302 просмотров • 11 дней назад

honest first impression of Helena, the "autonomous AI marketer" you start by giving it your website URL and it fetches your brand, analyzes competitors, and generates a full brand knowledge base. the brand read was accurate it generates all of this from your URL alone: > brand guidelines > business profile > market research > marketing strategy > competitor deep dive > content calendar for april 2026 > email newsletter concepts then it immediately starts creating content. linkedin posts with visuals, x posts, blog articles the content quality is sloppy. some posts had hashtags (big no on x), the copy reads like generic slop. the images are better than I expected but nothing a serious brand would post without heavy editing the infrastructure underneath is solid though it set up automated recurring tasks without me asking: > weekly automation suggestions (every monday 3pm) > weekly competitor intelligence digest (every tuesday 9am) > weekly linkedin content brief (every monday 7pm) > weekly SEO content recommendations (every wednesday 9am) Plenty of integrations: Google Analytics, Search Console, Google Ads, Meta Ads, TikTok Ads, Klaviyo, Mailchimp, YouTube, TikTok, Instagram, X, LinkedIn, Stripe, Pinterest compared to the "AI CMO" that went viral last week, it can pull from multiple data sources and use that context in its strategy the amount it generates just on onboarding is valuable, they are probably burning a lot of tokens on first signups foundation and infrastructure are there. if the content quality catches up to the infra, it might be worth spending time with however, you can build this yourself in a week, with MUCH better output

Shann³

107,577 просмотров • 2 месяцев назад

These Claude Code Skills are f*cking insane 🤯 A complete brand-to-ad pipeline that builds a permanent brand brain and ships hooks, briefs, scripts, and ad variations on command. All inside Claude Code. A system perfect for DTC brands and agencies who are burning hours every week on creative production that should take minutes. If you're still copy-pasting brand context into every Claude session, briefing hooks in Slack, writing ad scripts from scratch, and hand-building variations in Canva... This system eliminates the entire loop: → Brand DNA Builder scrapes any brand and outputs a full positioning file → Brand Voice Profiler extracts voice rules from the brand's actual copy → ICP Deep Dive runs autonomous research and pulls real customer language → Hook Writer generates 20 hooks across 10 DR frameworks → Brief Generator writes full creative briefs in your brand voice → Ad Script Writer produces UGC and produced video scripts → Variation Engine takes a winning ad and generates copy + image variants No Google Doc brand briefs. No copy-pasting context every session. No starting from a blank page. What you get: → A permanent brand brain Claude reads every time → Hooks, briefs, scripts, and variations that sound like your brand — not generic AI → A continuous test loop feeding directly into Meta Ads → One workflow that scales across every client or product Built 100% in Claude Code. I'm giving away the 3 foundational skills pack that every other skill in the system reads from. Want access for free? > Like this post > Comment "SKILLS" And I'll send it over (must be following so I can DM)

Mike Futia

25,293 просмотров • 1 месяц назад

this OpenClaw🦞 agent replaced my $8K/month content strategist for $30 😱 i'll show you EXACTLY how to build it live with The Boring Marketer vibe marketers. here's the system: step 1: scan 1000s+ creators for outlier signals → virlo watches your niche 24/7 → it finds outlier videos that beat the creator's OWN average by 10x-50x. → last week it flagged a 51x outlier. 4,800 avg views. one video: 249,000. step 2: pull the raw evidence → Adrian | The Web Scraping Guy 's ScrapeCreators fetches the full package → thumbnail, caption, stats, creator context → this gives the AI everything it needs to analyze. step 3: break down WHY it worked (7 dimensions) → Content DNA runs each video through Gemini 3 Flash via @OpenRouterAI → topic, angle, hook structure (visual + text + spoken), story beats, visual format, key visuals, audio → the output is a "brick." the portable structure that made people stop scrolling. step 4: rank the reusable bricks → OpenClaw🦞 compares all 10 breakdowns → scores each brick by portability and frequency → bricks showing up across 3+ creators = highest confidence bets step 5: generate 10 concepts in your voice + 3 psychology frameworks → learns your voice so output sounds like you → then runs every concept through Puppet Strings (desire), Scroll Traps (attention), and Care to Click (action) → you hit emotion and desire. not just features. every hook is copy-paste ready. step 6: delivers 10 concepts every monday at 8am → cron runs the whole pipeline overnight → pick 3. film. post. done. input: your niche output: 10 proven content concepts every monday a GOOD content strategist costs $8-10K/month. this runs for ~$30/month in API costs. on march 12, me and The Boring Marketer vibe marketing community are building this system live: - brand voice file - content radar scanning your niche - content DNA breaking it down - weekly cron, scheduled and firing you leave with a running system (not a repo to figure out later) comment VIEWS + like + follow (must follow so i can DM you the link to join)

Matthew Berman

149,338 просмотров • 3 месяцев назад

My company hit $2,000,000 ARR in 7 months. There’s 1 main acquisition channel we used: LinkedIn. And it’s still significantly underused. Here’s the exact content system we used to grow to $2M in 7 months: 1. Content Strategy • Interview your team to brainstorm ideas • Study what's performing in the niche • Analyze post-performance weekly • Use AI for research + concepts 2. Winning Formats The best creators double down on formats. These are our winning formats: TOF → Personal stories, milestones, industry stories MOF → Resource giveaways, infographics, carousels BOF → Feature demos, case studies, product launches 3. Content Team It’s easier to scale content when you have a team. Here's how we structure our team: • Writer • Designer • QA/Editor 4. Content Pipeline We run everything through Notion: • Comments for feedback • Link back to idea sources • Kanban stages for production 5. Content Calendar You won't stay consistent without planning. So: • Stick to the same posting time • Use ordinal to schedule posts • Block off Sundays to plan the week • Build a backlog of posts to choose from — And after lots of trial and error... We packaged this entire content system into a notion workflow. It helps us: 1. Get ideas down quickly 2. Develop them systematically 3. Collaborate with the design team AND includes our framework on how to plan a LinkedIn content strategy: • Content Types • Content Pillars • Content Formats • Content Calendar (plus a post creation template with our own custom embedded LinkedIn previewer) Today, I’m giving the entire thing away for FREE. Want it? Comment "NOTION" And I'll send over our template. (must be following)

Dan Rosenthal

20,350 просмотров • 3 месяцев назад

Obsidian + Claude just killed the $35K/year ghostwriter Sounds exactly like you, every time Pulls every relevant note you ever captured Ships finished drafts in under 90 seconds Gets sharper every month, not flatter The 30-minute vault + the voice profile that makes the output indistinguishable from yours Set up the stack: Install Obsidian: → 5 folders (00 CAPTURE → 04 SYSTEM) CLAUDE.md in 04 SYSTEM → 10 of your best pieces + your no-go phrases Tag every note in 01 - ACTIVE with the content vertical it feeds Claude Desktop + Filesystem MCP → reads every note in the vault Output Generator prompt in 04 - SYSTEM/prompts/ → triggered on demand 03 - OUTPUT/ → every draft lands here, linked back to source notes First prompt to Claude: Read my voice profile in CLAUDE.md Read every note tagged with [topic] in 01 - ACTIVE Write a complete draft in my voice - sentence rhythm, idioms, no-go phrases respected Synthesize across notes, don't summarize each Surface 1 angle no individual note contains but the combination supports Save to 03 - OUTPUT/[date]-[topic].md After it works, tune: voice profile (sentence length, idioms, things you'd never say) topic tags (one cluster per vertical - AI, crypto, growth) the "what would my reader push back on?" prompt before publishing draft length per format (thread / essay / newsletter) the Connection Surface (find the angle nobody used yet) the kill list (phrases the ghostwriter is never allowed to write) The numbers: → 4,000 notes → 1 monthly publishable pipeline → 90 seconds from prompt to first draft → 1 voice profile = unlimited content in that voice → 10 source pieces are all you need to train it → Month 3: drafts indistinguishable from your own Full breakdown above 👇

ZEUS⚡️

16,167 просмотров • 18 дней назад