Seref Mamas 🟡

576 posts

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Seref Mamas 🟡

Seref Mamas 🟡

@SerefMamas

Building CREATANT for the New Era of Digital Interaction and Collaboration | SOFTWARE NEEDS TO BE MAGICAL | Loves Art | AI and Web3 | Gamer

Katılım Nisan 2014
233 Takip Edilen115 Takipçiler
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Seref Mamas 🟡
Seref Mamas 🟡@SerefMamas·
I made a short video teaser of what I am building now! I used DaVinci Resolve and went through many tutorials. Everything is recorded from the screen (works in a browser), I just cut the video pieces together. What I am building is a visual second brain, something you might have seen from science fiction movies. The best part is visual bookmarking and I completely replaced ChatGPT with this (will show in another video). Of course you dont know yet what it does, but what do you think about the video? I am not a pro in this :) @icreatelife
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Alfie Carter
Alfie Carter@AlfieJCarter·
I built 4 GTM agents in Claude Code that replaced hours of manual work per client. Here's the complete playbook for each one: 1️⃣ ICP Research Agent → Receives a company or contact list → Researches firmographic fit and tech stack signals → Scores each account against ICP criteria → Returns a ranked summary with match rating and reasoning → Runs in its own context window - zero bleed into main session 2️⃣ Sequence Builder Agent → Takes a signal type and ICP tier as input → Selects the right channel (LinkedIn, email, or WhatsApp) → Writes a complete multitouch sequence with subject lines → Includes reply handling scripts for each response type → Outputs ready-to-deploy copy without a single manual touchpoint 3️⃣ Campaign Diagnostician Agent → Ingests campaign metrics or sequence performance data → Identifies the most likely failure point in the funnel → Ranks 3 tests by expected revenue impact → Returns exact copy or targeting changes for each test → Tells you what to fix before you burn more of your addressable market 4️⃣ GTM Analyst Agent (my favourite) → Takes any campaign export or data file → Identifies performance trends and flags anomalies → Surfaces a prioritised action list ranked by revenue impact → Stores findings in a persistent project file for future runs → Gets smarter every time it runs - memory: project These agents mean I wake up to: - Prospects already scored and tiered before the day starts - Sequences drafted and ready for review - Campaign diagnosis completed overnight - Data analysis done without opening a single spreadsheet All running inside Claude Code, deployed via Trigger(.)dev, tracked without a human in the loop. The agentic AI market is moving from $7 billion to $93 billion. The agencies that figure this out in the next 6 months will have a cost and speed advantage that's very hard to close. I packaged the entire build into a free playbook - the WAT framework (Workflows, Agent, Tools), sub-agent configs, CLAUDE.md templates, deployment steps, and context management rules. Want the full Claude Code GTM Engineer's Playbook? Reply AGENT below and I'll send it over.
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Yann
Yann@yanndine·
You don't need to learn N8N to sell N8N workflows for $2K-$5K+. I spent the last few months stress-testing Claude Code to build automation workflows without touching a single N8N node manually... ✓ Build full workflows from plain English descriptions ✓ Let Claude Code debug and fix errors automatically ✓ Connect directly to your N8N instance via MCP ✓ Pitch clients without ever becoming an N8N expert ✓ Generate $2K-$5K+ per workflow delivery And I finally turned the entire process into one step-by-step guide. N8N workflow automation - the most underrated freelance income opportunity right now. Claude Code - the only technical co-founder you actually need. Combined - you can build and sell workflows clients pay serious money for, starting today. And I'm giving away the exact build system for free. Here's what's inside: ✅ Skills + MCP Setup How to install Claude Code, connect it to your N8N instance, and activate pre-built domain expertise so Claude knows how to build workflows properly. ✅ Writing Plain English Workflow Plans How to describe any automation from A to Z in simple language - no technical knowledge required before you start. ✅ Structured Instruction Creation How to turn your high-level plan into a structured instruction using any AI model, so Claude Code builds more reliably every time. ✅ Plan Mode Workflow Building How to paste your instruction into Claude Code, use Plan Mode for better results, and let Claude build the workflow directly inside your N8N instance. ✅ Automated Debugging How to let Claude Code check executions, find issues, and fix errors itself - so you never get stuck on a broken workflow. And here's the full workflow you'll learn to build: ☒ Set up Claude Code extension in VS Code or Cursor ☒ Install Skills and MCP via the provided command ☒ Connect your N8N API key to the MCP configuration ☒ Write a plain English description of the workflow ☒ Convert it to a structured instruction using GPT or Claude ☒ Paste into Claude Code using Plan Mode ☒ Let Claude build and debug the workflow automatically ☒ Test, confirm, and deliver to your client This is the same system being used to produce: - Fully automated content idea workflows delivered daily via email - AI news monitoring and analysis pipelines - Client-ready automations built without manual N8N work - Recurring workflow income without requiring deep technical expertise All without watching hours of N8N tutorials. All inside Claude Code. All free. Want the full guide? Reply AUTOMATE and I'll DM it to you. ♻️ Retweet for priority access
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Antonio Romero
Antonio Romero@ant0ni0_r0mer0·
I just redesigned Amazon ads for Pedigree — in under 10 minutes. One Pedigree product. 7 high-converting listing creatives. No agencies. No weeks. No $10k invoices. This is AI that: → scans customer reviews at scale → studies competitor listing visuals → identifies conversion gaps → builds a clear creative structure → generates Amazon-ready images What used to take agencies weeks and massive budgets, now happens before your first coffee. For Amazon brands, there are only two paths: 𝘖𝘗𝘛𝘐𝘖𝘕 1: Ignore it. Keep paying for slow turnarounds and recycled “strategy decks.” 𝘖𝘗𝘛𝘐𝘖𝘕 2: Use it. →Launch faster. →Test more creatives. →Win on speed and clarity. This is how a single Pedigree product becomes: • Hero image • Benefit-led infographics • “Why Pedigree?” comparison visuals • Trust & nutrition panels • Lifestyle + pack shots • Conversion-focused secondary images All aligned. All brand-safe. All Amazon-optimized. In the last three months, we've helped over 10 Amazon brands transition to fully owned creative apps. This is a trend. I see scale even more. Especially as these brands can gain more control over the personalization in content production. We're driving millions of dollars and extra additional revenue just from this. Interested in in utilizing AI creative ops in your business? Like this post + DM me "AI" & I’ll send link! (Make sure you're following)
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Abdul Sarfraj
Abdul Sarfraj@sarfraj_ab75685·
I rebuilt my viral TikTok AI agent with Claude Code in 37 minutes 🤯 A full research-to-brief pipeline that scrapes TikTok, analyzes videos with AI, and generates creative briefs for your clients. All inside Claude Code + Replit. Perfect for creative agencies and DTC brands who want to turn competitor research into briefs without the manual grind. Look, all e-commerce brands & agencies should have at least one person on their team who is their "AI expert" & can vibe-code apps & workflows like this. Here's what the Claude Code version of my TikTok Agent does: → Search TikTok by keyword, date range, and video count → Pull engagement metrics, captions, and thumbnails → Gemini actually watches the video and analyzes the hook → AI scrapes comments for common questions and insights → Generate a full creative brief based on your template + brand bible No watching videos manually. No copying notes into docs. No rewriting briefs from scratch. What you control: - Multiple client projects with separate brand bibles - Your own creative brief template - Which videos to analyze and brief - Full customization through Replit's AI agent Research → Analysis → Brief. One workflow, running a custom, mini-SaaS inside your company I recorded a full walkthrough showing exactly how I built this from scratch. Want the full tutorial? > Like this post > Comment "CLAUDE" And I'll send it over (must be following so I can DM)
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Lian Lim | Dashboard & AI Automation Expert
I've created a full guide on how to automate 14 sales tasks Covered from lead capture and follow-ups to proposals, CRM updates, sales training, forecasting, and more All these will save you so many hrs/mo Like + Comment "AUTOMATE" and I'll DM you the guide
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Matthew Berman
Matthew Berman@TheMattBerman·
I run my google ads with @openclaw for $0/month 😱 here's the system that runs autonomously: step 1: map what you're actually spending → agent pulls every keyword from your @GoogleAds account → classifies intent: buyers, researchers, comparison shoppers, freebie hunters → tells you if overspending on clicks or if you're buying the wrong ones step 2: kill waste before it compounds → @OpenClaw flags keywords burning budget with NO buying intent → specific negatives that won't kill your good traffic by accident → one account: 23% of spend on research queries. zero conversions. gone. step 3: separate winners from losers → buyers and researchers in the same ad group = bids optimizing against trash → agent shows you exactly which ad groups to break up → clean signal in, clean decisions out step 4: write ads from real buyer language → agent reads what your converting searchers actually type → generates RSAs from their words, → not templates. not Google's auto-AI. patterns from YOUR winners step 5: apply with instant undo → every change is a draft. dry run. confirm. done. → negatives, pauses, budget shifts w/ full audit trail → nothing hits your account without you saying yes step 6: morning brief + memory that compounds → /google-ads daily = what matters today. 90 seconds. → bleeding campaigns, wasted spend, what's ready to scale → week 4 catches what week 1 missed. it doesn't forget input: your google ads account + your target CPA output: an AI that kills waste, writes ads, shifts budget, and learns what works agencies charge $3-5K/month for this. this runs for $0. I packaged the entire system as the google ads kit. 15 @OpenClaw skills: - connect (setup + health check) - daily (what matters today) - audit (full strategic review) - search-terms (waste + signal + routing) - intent-map (compounds across sessions) - negatives (scoped, with collateral warnings) - structure (campaign architecture) - rsas (copy from buyer language) - budget (scaling grounded in signal) - apply (controlled writes + instant undo) giving it away free. comment PAID + like + follow (must follow so i can DM)
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Dennis Willeboordse 👨🏼‍🦰 eCommerce Growth
The hook is 80% of your ad's performance. But most brands spend 80% of their time on everything else. I compiled a bank of 100+ hook frameworks we've tested across 250+ brands. Organized by: → Awareness level → Emotional trigger → Product category → Format type Like & comment "HOOKS" and I'll send you access for free.
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Stijn Feijen
Stijn Feijen@spwfeijen·
We’re Creating AI UGC Ads in 2 Minutes Cinematic lifestyle content, built for performance marketing - Write a quick prompt in ChatGPT - Generate a creator in MakeUGC - Render the talking video instantly No shoots. No freelancers. No delays. One AI ad workflow → creating, testing, and posting short-form content automatically. It’s live. Ads are being generated right now. RT + comment “MakeUGC” and I’ll DM the full guide (Must be following)
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NOVA
NOVA@TechWith_Nova·
Claude Code + Nano Banana 2 is f*cking cracked 🤯 I built a skill inside Claude Code that writes JSON image prompts for Nano Banana 2, and the outputs look like they came from a professional photo shoot. One plain-text prompt. Claude rewrites it as structured JSON with lighting, camera, composition, style, and negative prompts. Then fires it off to Nano Banana 2. All inside Claude Code. Perfect for DTC brands and agencies who need high-volume ad creative without booking a shoot. If you're using Nano Banana 2 for product shots and lifestyle images but every generation feels like pulling a slot machine lever — random lighting, inconsistent style, plastic skin, misspelled labels ... This skill fixes the entire output: → You describe what you want in plain English → Claude rewrites it as a structured JSON prompt (lighting, camera angle, lens, depth of field, color grading — all of it) → Fires it to Nano Banana 2 via API → Saves the prompt + image in organized folders → You iterate on the style until it's dialed, then every output matches No more slot machine prompting. No more inconsistent brand imagery. No more burning credits on unusable generations. What you get: - Photo-realistic product shots and lifestyle images on demand - Full control over style, lighting, composition, and camera settings - Saved JSON prompts you can reuse across every campaign - A skill that gets smarter the more feedback you give it Built 100% in Claude Code with a custom skill + Python scripts. I put together a full playbook showing the exact skill, the JSON schema, and the workflow to set this up yourself. Want the full playbook? > Like this post > Comment "BANANA" And I'll send it over (must be following so I can DM)
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Antonio Romero
Antonio Romero@ant0ni0_r0mer0·
VEO 3 + Nano Banana Pro just automated 100% of UGC ad production. 0 filming days. 0 creators hired. 0 production bottlenecks. People used to burn weeks scripting UGC, briefing creators, waiting on edits... and hoping something usable would come back. Now that entire process is gone. This AI UGC stack does the job faster and in many cases, better. Let's be clear though: Most AI UGC does suck. Robotic pacing. Fake emotion. Zero trust. That kind of AI kills performance. But when the workflow is dialed in properly? It scales like crazy!! After testing nearly every AI tool this year, this is the combo that actually works: VEO 3 + Nano Banana Pro UGC ads without humans - that still feel human. Here's what the system does: - Turns one product photo into 20+ UGC-style ads - Generates hooks, angles, CTAs, captions automatically - Produces talking-head creatives that don't feel "AI" - Creates endless variations for testing - Keeps brand voice consistent at scale It runs 24/7. One brand used a single AI-generated creative from this setup and did $153K in 30 days. The ROI isn't luck - it's workflow. I documented the entire system with full implementation guide. Want it? - Like this post - Comment "AGENTS" PS: Repost for priority access.
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NOVA
NOVA@TechWith_Nova·
I rebuilt my viral TikTok AI agent with Claude Code in 37 minutes 🤯 A full research-to-brief pipeline that scrapes TikTok, analyzes videos with AI, and generates creative briefs for your clients. All inside Claude Code + Replit. Perfect for creative agencies and DTC brands who want to turn competitor research into briefs without the manual grind. Look, all e-commerce brands & agencies should have at least one person on their team who is their "AI expert" & can vibe-code apps & workflows like this. Here's what the Claude Code version of my TikTok Agent does: → Search TikTok by keyword, date range, and video count → Pull engagement metrics, captions, and thumbnails → Gemini actually watches the video and analyzes the hook → AI scrapes comments for common questions and insights → Generate a full creative brief based on your template + brand bible No watching videos manually. No copying notes into docs. No rewriting briefs from scratch. What you control: - Multiple client projects with separate brand bibles - Your own creative brief template - Which videos to analyze and brief - Full customization through Replit's AI agent Research → Analysis → Brief. One workflow, running a custom, mini-SaaS inside your company I recorded a full walkthrough showing exactly how I built this from scratch. Want the full tutorial? > Like this post > Comment "CLAUDE" And I'll send it over (must be following so I can DM)
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Adam Taylor
Adam Taylor@adamtaylorl·
Ecom brands doing $100k/day master ANGLES I've recorded our process for finding winning angles after scaling a brand to $750K/mo post-Andromeda It's FREE for the next 48hrs Just comment 'angle' and I'll send it over
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George Stock
George Stock@georgesttock·
Imagine paying $1,000 for product photos in 2026... AI can turn one product image into dozens of scroll-stopping ads. Different styles. Different backgrounds. Different creatives. All in minutes. I made a step-by-step guide showing exactly how to do it. Comment “Guide” and I’ll send it. (must be following)
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Finn Mallery
Finn Mallery@fin465·
We built Claude Code for Lead Generation… We hit #1 on @ProductHunt & took @origamichat from slow growth to 2x MRR every week since I wrote up the exact guide we used to hit #1 and get thousands of users to sign up in a day. Complete blueprint to #1. I’ll dm it to you Just comment “Launch” RT so other founders get the blueprint
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Mike Futia
Mike Futia@mikefutia·
Nano Banana Pro is a cheat code for static ad creative 🤯 Most DTC brands will ignore this. (Don't be most DTC brands) I just turned ONE product photo into 50+ campaign-ready images. No studio booking no photographer, no 3-week wait. (Yes, this image was made with Nano Banana Pro 👇) This isn't about firing your creative team. It's about giving them an unfair advantage. What's killing DTC creative teams right now: ✗ $10k photoshoots that fatigue in 3 days ✗ Weeks of waiting for basic lifestyle variations ✗ New shoots every time you want to test a different persona ✗ AI-generated text that looks like a ransom note ✗ One aspect ratio that breaks on half your placements What Nano Banana Pro actually does: ✓ Upload 14 reference images → 100% product accuracy (logos stay sharp) ✓ Infinite lifestyle shots from a single SKU ✓ Swap models instantly for persona testing ✓ Pixel-perfect text rendered inside the image (any language) ✓ Relight winning ads to fight fatigue (day to night, summer to winter) ✓ Outpaint to any aspect ratio without cropping your product I built the playbook. 7 protocols. Real prompts, real use cases. → "Anchor Stack" for virtual photoshoots → "Mannequin Swap" for persona testing → "Hook Factory" for native text ads → "Science Ad" for explainer infographics → Asset Recycling to refresh fatigued creative → Global Scale for instant localization → Format Fluidity for omnichannel output This isn't playing with AI. It's creative operations at scale. Want the full Nano Banana Pro Guide? > Like this post > Comment "NANO" And I'll send it over (must be following so I can DM)
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Peter Quadrel
Peter Quadrel@Peter_Quadrel·
Test your ads before you spend a single dollar Comment "AI" to get access to the Bulk Ad Analyzer Analyzes: - Market sophistication - Brand awareness levels - Composition - Clarity - Asset batch visual/message diversity Develops: - AI Personas - AI focus groups/feedback Running all of our assets through an advanced version of this in 2026.
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Peter Quadrel@Peter_Quadrel

Test your ads before you spend a single dollar With AI synthetic focus groups you can get feedback instantly A number of studies validate the accuracy (some at 90%) It's so accurate that Shopify just introduced them for CRO For ads they can provide a huge amount of context you'd normally be missing Helping to reduce strategist bias and see how the messaging stacks against your top personas Every ad we produce is going through a focus group before going live in 2026 It's backwards and forward testable which makes tuning straightforward. Method: Phase 1: Digital Ethnography We don’t use generic prompts like "Act like a Mom." Instead, the AI conducts a live "Digital Ethnography" study. It scrapes Reddit threads, Trustpilot reviews, CRM, forms, etc. to find Behavioral Signals. It then maps these behaviors to the Big 5 (OCEAN) Personality Traits & MBTI Result: A statistically calibrated "Digital Twin" of your actual customer. Phase 2: The Cognitive Simulation Agent A (System 1 - The Gut): Simulates the amygdala. It reacts in <0.5 seconds. Does the ad stop the scroll? Is it confusing? It gives a raw, visceral reaction. Agent B (System 2 - The Logic): Simulates the prefrontal cortex. It slows down. Does the offer make sense? Do I trust this brand? It critiques the logic. Agent C (The Method Actor): This agent adopts the specific Voice & Tone of the persona. It uses their slang, their fears, biases and the rest of the personality variables to synthesize the feedback. Phase 3: The Verdict (The "Score") We calculate a Blended Resonance Score Weighted by the persona’s specific psychology. High Neuroticism persona? Safety and trust triggers are weighted higher. High Openness persona? Visual novelty is weighted higher. This is just the start of a new era of ad optimization. We'll see win rates go up through 2026 with tools like this.

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Mike Futia
Mike Futia@mikefutia·
I just put together 10 of my top AI automation workflows in one place 🤯 (honestly I should probably be charging for this) Most DTC brands & agencies burn months trying to build AI automations themselves. Wrong prompts. Wrong tools. Broken workflows. So I packaged up 10 ready-to-use AI automations that do the work for you. All inside one database. Grab what you need, when you need it. Here's the full list: YouTube Research AI Agent → Pulls trending videos by keyword → AI breaks down hooks, angles, themes → Everything organized in Airtable Instagram Reels AI Agent → Scrapes top Reels in any niche → Gemini extracts creative insights → Comment sentiment included Sora 2 Cameos + n8n → Same AI character across videos → Automated UGC campaign builds → Airtable tracking built in Nano Banana + Veo 3 + n8n → Bulk AI video generation → One product photo → 50+ videos → Auto-stored and sorted Claude + Facebook Ads MCP → AI-powered ads analyst → Full performance reports on demand → Just ask questions in plain English Facebook Ads Spy + n8n → Daily competitor ad tracking → AI breakdowns of hooks, CTAs, offers → Delivered straight to Slack Sora 2 Consistent Characters → Same creator across multiple videos → Brand consistency without the hassle → Full Loom walkthrough included TikTok Research AI Agent → Trending content scraped daily → Hook and angle extraction → Engagement metrics tracked HeyGen Long-Form UGC → 1-minute+ AI avatar videos → Talking-head testimonials → Product demos at scale Nano Banana Static Ads → 1,000+ ad variations on autopilot → Bulk image generation → Built for creative testing Every workflow comes with the n8n templates + Airtable bases so you can launch fast. This is the exact stack DTC brands & agencies are using to 10x content output. Want the full database? > Comment "WORKFLOWS" > Like this post And I'll send it over (must be following so I can DM)
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