Exemples de lead magnets LinkedIn en anthropic

7 Courses to Learn Claude faster in 2026 No Gatekeeping. For free: 1. How to Use Claude Like a PRO (Better Than 99% People) → 34 minutes: Nishant Chahar 2. AI Agents Full Course 2026: Master Agentic AI (2 Hours) → 2 hours: Nick Saraev 3. Build & Sell with Claude Code (10+ Hour Course) → 10+ hours: Nate Herkelman 4. FULL Claude Tutorial for Beginners in 2026! (Become a PRO!) → 49 minutes: AI Foundations 5. CLAUDE CODE FULL COURSE 4 HOURS: Build & Sell (2026) → 4 hours 10 minutes: Nick Saraev 6. Claude AI Complete Course: Extended Thinking, Skills, MCP & More → 3 hours 18 minutes: Vivek Mishra 7. Claude AI Crash Course | From Beginner to Building AI Tools (with Projects) → 3 hours 33 minutes: Mayank Aggarwal Bonus: ✦ 9,000 free Claude Skills: https://llmbase.ai/skills/ ✦ Claude Cheatsheet: https://lnkd.in/gaNHDtUE ✦ How to use Claude: https://lnkd.in/gpdKtKwV ✦ Anthropic Claude official free courses: https://lnkd.in/g7C9mv_T Want all Courses links: 1. Like this post 2. Comment “Learn Claude” 3. Connect with me, I’ll send it to your DMs Follow me never to miss my 1 daily post. You want to help someone in your network?  ♻️ Repost this so they can find the best free resources.

🚨 BREAKING : Anthropic just dropped Agent Teams Now you can run multiple Claude agents in parallel with ZERO setup ! 2 weeks ago, developers found this fully built in Claude Code's binary Hidden. Feature-flagged off. Ready to ship. 2 days ago, Anthropic made it official ! 📌 Here's what just became possible : Multiple Claude instances now work together on your codebase → Lead agent coordinates → Teammates work independently → Each has its own context window → They message each other directly One researches while another debugs while a third builds All at once. Zero human orchestration The killer feature ? "Competing Hypotheses Debugging" App crashes. You don't know why Spawn 5 agents. Each investigates a different theory. They try to disprove each other → The one that survives is your answer ! 📌 How to enable it : CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 One line in settings.json Done 📌 What you need to know : → Each agent bills separately (start with 2-3, scale smart) → Assign different files to different agents (avoid conflicts) → Stay in the loop (autonomous ≠ unsupervised) Best for : • Complex debugging when root cause is unclear • Parallel solution exploration • Multi-angle refactoring Skip for : • Single-file edits • Simple implementations Want a full guide for FREE ? Follow Chorouk Malmoum and Comment "AI" 👇

Anthropic made Claude Skills absurdly technical. Here's the guide I wish existed (in just 7 hacks): Hack 1: Use the Skill Creator Open Cowork. Select your folder. Make sure you're on Opus 4.6 + Extended Thinking. Type: "Use the skill-creator to help me build a skill for [your most repeated task]." It interviews you. It builds everything. Hack 2: Negative Triggers Your Skill fires when it shouldn't. You ask a simple question and your LinkedIn Skill activates. The fix: the "Do NOT use for…" line matters more than the "Use when…" line. 80% of a good Skill is what it's NOT for. Most people only write what it IS for. That's why it breaks. Hack 3: Stack Skills with your Voice File Your about-me .md tells Claude who you are. Your Skill tells Claude how to do the job. They fire together. Two layers. Simultaneously. So your LinkedIn Skill doesn't need your rules. Claude already knows your voice from the .md file. To download mine, go here: how-to-ai.guide. Don't pay anything. It's free in the welcome email. Hack 4: Build Skills from past chats Don't start from scratch. You've been giving Claude instructions for months. Those old prompts already contain the process. 1. Click on a Cowork chat session. 2. On the name's arrow. 3. Turn it into a Skill Claude reverse-engineers your workflow. Done. Hack 5: Skills save Tokens (that's money) You'd think 20 installed Skills eat your usage. Opposite. Claude only reads the 3-line header of each Skill. Full instructions load only when a task matches. A task that took 15 prompts & 12,000 tokens without Skills? 2 messages. 6,000 tokens. With one. Hack 6: The Debugging Trick Your Skill doesn't fire and you don't know why. Prompt: "When would you use [skill-name] skill?" It quotes the exact description back to you. You instantly see what's vague. What's missing. Fastest fix for any Skill that won't activate. Hack 7: Skills are Portable Anthropic published Skills as an open standard. The same SKILL .md file works across platforms. Build it for Claude today. If Gemini or ChatGPT support the format tomorrow? It transfers. Same idea as your voice file. Now your workflows are portable too. Where Skills fall short: ✦ Bad description: Skill never fires. Use Hack 6. ✦ Broad description: Skill hijacks all chats. Hack 2. ✦ Skills give you 80%, not 100%. You still review. ✦ Usage still burns fast. If you're using Cowork daily, consider the Max plan ($100/month). The real difference: Most people open Claude, type one prompt, get a mid response, and close the tab. Because they're still prompting. Skills don't prompt. They fire automatically. Build them once. Never re-explain a task again. Download my Skills here: https://lnkd.in/dq6xHS4p

Everyone is talking about “𝗔𝗜 𝗰𝗼𝘄𝗼𝗿𝗸𝗲𝗿𝘀”. But the interesting question is not whether they exist. It is 𝘄𝗵𝗲𝗿𝗲 𝘁𝗵𝗲𝘆 𝗮𝗿𝗲 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝘂𝘀𝗲𝗳𝘂𝗹. 𝗖𝗹𝗮𝘂𝗱𝗲 𝗖𝗼𝘄𝗼𝗿𝗸 is Anthropic’s AI agent for non-developers. It can 𝗮𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀𝗹𝘆 𝗰𝗮𝗿𝗿𝘆 𝗼𝘂𝘁 𝗺𝘂𝗹𝘁𝗶-𝘀𝘁𝗲𝗽 𝘁𝗮𝘀𝗸𝘀 like organizing files, creating documents from notes, or converting receipts into spreadsheets by working inside specific folders on your Mac. On the surface, this looks like better automation. 𝗪𝗵𝗮𝘁 𝗶𝘁 𝗿𝗲𝗮𝗹𝗹𝘆 𝘀𝗶𝗴𝗻𝗮𝗹𝘀 𝗶𝘀 𝗮 𝘀𝗵𝗶𝗳𝘁 𝗳𝗿𝗼𝗺 𝗔𝗜 𝗮𝘀 𝗮 𝗼𝗻𝗲-𝗼𝗳𝗳 𝗮𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 𝘁𝗼 𝗔𝗜 𝗮𝘀 𝗮 𝗰𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗽𝗮𝗿𝘁𝗶𝗰𝗶𝗽𝗮𝗻𝘁 𝗶𝗻 𝘄𝗼𝗿𝗸. Cowork-style tools tend to work best where: • Tasks span multiple steps and tools • Execution matters more than perfect answers • Manual coordination becomes the bottleneck The industry trend is clear. 𝗔𝗜 𝗶𝘀 𝗺𝗼𝘃𝗶𝗻𝗴 𝗳𝗿𝗼𝗺 “𝘁𝗲𝗹𝗹 𝗺𝗲” 𝘁𝗼 “𝗱𝗼 𝘁𝗵𝗶𝘀 𝘄𝗶𝘁𝗵 𝗺𝗲”. The real test for cowork products will be how naturally they fit into everyday workflows without adding new overhead Official Claude Cowork link in the comments👇 A few things about Claude Cowork that caught my attention: • There is an interesting leak around 𝗽𝗲𝗿𝘀𝗶𝘀𝘁𝗲𝗻𝘁 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗕𝗮𝘀𝗲𝘀. This could be a 𝗺𝗲𝗮𝗻𝗶𝗻𝗴𝗳𝘂𝗹 𝘀𝘁𝗲𝗽 𝘁𝗼𝘄𝗮𝗿𝗱 𝗹𝗼𝗻𝗴𝗲𝗿-𝗹𝗶𝘃𝗲𝗱 𝗰𝗼𝗻𝘁𝗲𝘅𝘁 in cowork-style systems. Link in comments. • Fun fact: according to a Twitter post, Claude Cowork is reportedly 𝟭𝟬𝟬 𝗽𝗲𝗿𝗰𝗲𝗻𝘁 𝘃𝗶𝗯𝗲-𝗰𝗼𝗱𝗲𝗱 𝘂𝘀𝗶𝗻𝗴 𝗖𝗹𝗮𝘂𝗱𝗲 𝗶𝘁𝘀𝗲𝗹𝗳. Link in comments.

J'ai accès à Copilot Cowork et c'est surpuissant. Pourtant, je ne recommande pas (encore) de l'activer en France/Suisse. Le produit peut, en une seule demande, créer ton Word, ton Excel, ta PowerPoint, et t'envoyer le mail de synthèse derrière. Un assistant autonome qui remplace, concrètement, la plupart de tes workflows Power Automate. Le problème ? Les serveurs d'Anthropic ne sont pas en région UE. Pour la majorité des entreprises européennes qui manipulent des données sensibles, c'est une ligne rouge RGPD. Je détaille tout dans L'hebdo de MAIjin cette semaine : prérequis côté admin, limites vs Claude Cowork, et 6 prompts prêts à l'emploi pour remplacer tes workflows d'automatisation. Et ce n'est pas tout. Au sommaire aussi : → OpenAI boucle 122 milliards sur une valorisation de 852 milliards (plus grosse levée privée de l'histoire) → Anthropic sort Mythos, le modèle le plus puissant du monde, réservé à 40 entreprises → Mistral lève 830 millions pour bâtir son premier data center européen → Medvi : la première boîte à 1,8 milliard construite par 2 personnes avec 20 000 dollars → Evo2 vient de raccourcir de plusieurs décennies le calendrier de la vie artificielle → Anthropic mesure 171 "émotions fonctionnelles" chez Claude qui pilotent ses décisions Beaucoup de pépites cette semaine 🔥 Inscris-toi à L'hebdo de MAIjin (gratuit, en commentaire) 👇 J'envoie la newsletter demain à tous nos abonnés JB #IA #Microsoft #Anthropic

AI economics finally revealed… Microsoft shot first. GitHub Copilot is moving to usage-based billing on June 1. Pay-per-token replaces the flat subscription. Mario Rodriguez, Chief Product Officer, frames it as “alignment with usage”. Which makes sense: the flat-fee model was unsustainable. Frontier Labs have been absorbing $8 to $13 of cost for every dollar of revenue! Every question, clarification, silly picture or AI cat video has been subsidised by investor money, by a factor of ten. That’s why OpenAI decided to shutdown it’s AI video service Sora and cancelled its $1B licensing deal with Disney (who was caught by surprise in the process). AI pricing matters. As enterprises are pressured to adopt AI, they are building business cases and ROI models on subsidised economics that will not hold. Here is what is at stake: → Token Economics. Token consumption has scaled faster than price-per-token has fallen. Until now, asking the same question three times cost the same as asking it once, so variable and error-prone outputs were tolerated. Once each retry costs money, user tolerance for hallucinations will seriously diminish. Are the AI labs ready for the backlash? → Policy. In March, the US Department of War designated Anthropic a supply chain risk. The first time this designation has been applied to an American company. Defense contractors now have a countdown to remove Claude from covered workflows, regardless of technical fit. Anthropic is challenging it in court, but it sets a precedent. A sovereign model can become a prohibited dependency. → Enforcement. Last month, Anthropic's automated systems shut down 60 seats at a Latin American fintech (Belo) via a single email citing vague "Usage Policy" violations. No advance notice. The only escalation path was a Google Form. Access was restored days later as a false positive. For those days, all the company's AI-augmented workflows were down. Business continuity plans need to provision for these scenarios. Vendor concentration risk and the weak economics of frontier models are exposing companies to major disruptions. Diverging regulations only widen the uncertainty. Interestingly, China has been forced into a different posture. DeepSeek, Qwen, FP8 training, sparse activation (30 to 50% compute reduction at competitive performance). Constraint (restricted access to chips and energy) has forced architectural innovation. Narrow or Frugal AI is not a sustainability argument but an operational and economical one. Lighter models for narrow tasks. Edge inference where latency matters. Open weights where dependency becomes a business risk. For a deep dive on AI economics and how the US vs China are approaching the race to AI leadership, read my last piece on KoncentriK: link in comments. As the labs race to AGI, enterprises should build optionality as resilience and price AI projects on their real economics. Credits: Photo by Shamin Haky on Unsplash

🚨 BREAKING : Anthropic just dropped Agent Teams Now you can run multiple Claude agents in parallel with ZERO setup ! 2 weeks ago, developers found this fully built in Claude Code's binary Hidden. Feature-flagged off. Ready to ship. 2 days ago, Anthropic made it official ! 📌 Here's what just became possible : Multiple Claude instances now work together on your codebase → Lead agent coordinates → Teammates work independently → Each has its own context window → They message each other directly One researches while another debugs while a third builds All at once. Zero human orchestration The killer feature ? "Competing Hypotheses Debugging" App crashes. You don't know why Spawn 5 agents. Each investigates a different theory. They try to disprove each other → The one that survives is your answer ! 📌 How to enable it : CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 One line in settings.json Done 📌 What you need to know : → Each agent bills separately (start with 2-3, scale smart) → Assign different files to different agents (avoid conflicts) → Stay in the loop (autonomous ≠ unsupervised) Best for : • Complex debugging when root cause is unclear • Parallel solution exploration • Multi-angle refactoring Skip for : • Single-file edits • Simple implementations Want a full guide for FREE ? Follow Chorouk Malmoum and Comment "AI" 👇

Anthropic just turned Claude into a specialist for every department in your company. They released 11 plugins for Claude Co-work. Each one makes Claude an expert at a specific job function: • Sales → researches prospects, preps calls, drafts outreach, reviews pipeline • Marketing → plans campaigns, audits SEO, reviews brand consistency • Legal → reviews contracts clause by clause with green/yellow/red flags • Finance → analyzes reports, tracks budgets • Customer Support → triages tickets, drafts responses • Product Management → prioritizes features, writes specs • Data → writes SQL, builds dashboards, generates insights And the 11th plugin is the one that matters most. It's the meta plugin. It builds other plugins. You describe a workflow in plain English. Claude packages it into a working plugin with skills, commands, and tool connections. No coding. No setup. Just describe what you want. Here's why this is a big deal: Your best employee's process? The one that lives in their head? You can now package that into a plugin and hand it to every new hire on day one. Your entire team operates at the level of your best performer. When Anthropic announced this, Salesforce, ServiceNow, Adobe, and Thomson Reuters stock prices dropped. Thomson Reuters fell 16%. The market sees what's happening. Claude is becoming the single interface for your entire tech stack. You don't open HubSpot to check your pipeline. You ask Claude. You don't log into Jira to update a ticket. You tell Claude. You don't write SQL in your data warehouse. You ask Claude in plain English. One interface. One conversation. Access to everything. I put together a breakdown of all 11 plugins, what they do, and how to build your own custom plugin in minutes. Want it? 1. Comment "PLUGINS" 2. Connect with me (must be connected to send) I'll DM you the guide. (repost for priority and I'll send faster)

Listen. AI can Read files. Push code. Connect to servers. Trigger actions in production. Access databases Expose API keys Read customer PII Modify cloud infrastructure Delete or overwrite critical files That’s powerful and risky. That’s why this conversation was important. I recently hosted Rajaram Srinivasan and Vignesh Subbiah – founders of Unbound Security (YC-backed) on my podcast. In short, Unbound Security helps enterprises use LLMs and AI agents safely – by adding a security layer that prevents data leaks and unsafe actions, without slowing employees down. 𝗪𝗲 𝘁𝗮𝗹𝗸𝗲𝗱 𝗮𝗯𝗼𝘂𝘁: - How AI coding agents actually work in real companies - How data leaks happen with LLMs (even on paid plans) - Private vs public LLMs (and the real cost behind them) - How non-technical teams are now building software using AI - Their journey getting into Y Combinator (after 3 attempts) - What founders should focus on when building AI startups 𝗜𝗳 𝘆𝗼𝘂 𝗮𝗿𝗲: - An aspiring founder - Building a career in AI / ML / data / software engineering - Or working on AI agents / LLM products This episode will be useful for you. 🎧 𝗖𝗵𝗲𝗰𝗸 𝗳𝘂𝗹𝗹 𝗽𝗼𝗱𝗰𝗮𝘀𝘁 𝗵𝗲𝗿𝗲👇 https://lnkd.in/g_mEtAb4 𝗕𝗢𝗡𝗨𝗦: $50 in Anthropic credits for the first 50 sign-ups. If you are interested, comment "UNBOUND" and I will share the sign up details with you. #podcast #ai #llm #security #unbound

🚨 BREAKING : Anthropic just dropped Agent Teams Now you can run multiple Claude agents in parallel with ZERO setup ! 2 weeks ago, developers found this fully built in Claude Code's binary Hidden. Feature-flagged off. Ready to ship. 2 days ago, Anthropic made it official ! 📌 Here's what just became possible : Multiple Claude instances now work together on your codebase → Lead agent coordinates → Teammates work independently → Each has its own context window → They message each other directly One researches while another debugs while a third builds All at once. Zero human orchestration The killer feature ? "Competing Hypotheses Debugging" App crashes. You don't know why Spawn 5 agents. Each investigates a different theory. They try to disprove each other → The one that survives is your answer ! 📌 How to enable it : CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 One line in settings.json Done 📌 What you need to know : → Each agent bills separately (start with 2-3, scale smart) → Assign different files to different agents (avoid conflicts) → Stay in the loop (autonomous ≠ unsupervised) Best for : • Complex debugging when root cause is unclear • Parallel solution exploration • Multi-angle refactoring Skip for : • Single-file edits • Simple implementations Want a full guide for FREE ? Follow Chorouk Malmoum and Comment "CLAUDE" 👇

Tu veux vraiment maîtriser Claude Code ? Ce guide officiel de Anthropic te montre exactement comment faire : ⚡ automatisations ⚡ agents ⚡ systèmes avancés Le tout avec un certificat à la fin. 👉 Écris “Claude” en commentaire pour recevoir mon guide business complet. Abonnez-vous, je partage les meilleures ressources IA avant tout le monde.

🚨 BREAKING: Anthropic built a model too dangerous to sell. Not on the API. Not to enterprise. Not even a waitlist. It's called Claude Mythos. And from a single prompt that just said "Find a simple bug" here's what it did: → Found a 27-year-old flaw in OpenBSD nobody had ever caught → Found a 16-year-old FFmpeg bug 5 million automated scans missed → In FreeBSD, built an entire exploit chain on its own, bypassed auth, and walked away with full admin control of the machine On the Firefox JS engine benchmark, Opus 4.6 got 2 successful exploits. Mythos got 181 out of 250. The gap between finding a vulnerability and weaponizing it used to be days of skilled work. Mythos compresses it to hours for the cost of an API call. So Anthropic locked it in the building and launched Project Glasswing instead. AWS, Apple, Google, Microsoft, Nvidia, JP Morgan, Linux Foundation. Defensive use only. Here's the part nobody's talking about: The Claude you and I use every day is not the best Claude that exists. It never was. This is just the first time we've gotten a real number on how big that gap is, and it's widening fast. If you're building with AI, the bottleneck isn't model intelligence anymore. It's the workflows you build around the tools. The people who get fluent before the next jump will look very prepared in 12 months. The people who waited will be starting from zero. Comment "MYTHOS" and I'll send you the full Breakdown Instantly.

Opus 4.7 can now deploy dangerously-good AI marketing teams in 10 minutes. (Steal the prompts) Claude just got insanely better with Opus 4.7. This new model is much more capable of following instructions and more consistent in performing complex and long-running tasks. So my mentor just turned it into a marketing team deployment system. In 10 minutes, it deploys 6 agents with specialized roles and specific instructions. The brilliant thing here is not just Opus 4.7's improved ability to follow instructions. But also that Anthropic itself states how much better this model is at performing creative tasks and producing high-quality docs and slides. This major update makes these marketing prompts (built on frameworks that generated 55,000+ leads in 2025) even stronger. Here's what the marketing team does: - Replaces $10K+ in market research with a few prompts. - Cuts weeks of GTM planning down to minutes. - Saves $7K+/mo by replacing a marketing team. - Automates lead nurture and follow-up around the clock. I'm sharing the Opus 4.7 Marketing Team for free. Want it? Comment "TEAM" Connect with me and Harald Røine so we can send it to you via DM BONUS: Repost this and I'll also share his marketing strategy video breakdown (the one that got him 10X his leads)

𝗧𝗵𝗲 𝗖𝗹𝗮𝘂𝗱𝗲 𝗗𝗶𝘀𝗽𝗮𝘁𝗰𝗵 𝗚𝘂𝗶𝗱𝗲 🔥 Claude just turned your computer into an AI agent. Anthropic’s new Claude Dispatch lets you send tasks from your phone and have Claude execute them on your computer. That may sound like a small feature. It isn’t. This is the shift from chatting with AI to assigning work to AI. I put together a full guide breaking down: • what Claude Dispatch actually is • why it matters more than most people think • how it connects with Cowork, Plugins, Skills, and Scheduled Tasks • how to set it up step by step • 10 practical founder use cases If you’re a founder trying to understand where AI is really going, you should read this. Comment “Claude” and I’ll send you the link 🔥

J'ai viré 2h de prospection de mes matins. Gardé les 25k€ de pipeline. Pas en travaillant plus vite, mais en arrêtant de le faire à la main. C'est le même système qu'Anthropic vend aux PME américaines. 8h00. Claude a lu mes mails et mon calendrier. Les 5 prospects du jour m'attendent, priorisés, avec l'angle d'approche prêt. 8h15. Les brouillons personnalisés sont déposés dans mon Gmail. Destinataire, objet, message. Je relis et j'envoie. Zéro code. Lundi. Les relances de la semaine sont programmées. Aucune conversation ne meurt plus dans les oubliettes. Vendredi 17h. Bilan chiffré. Réponses, RDV, l'angle qui a le mieux converti. Un seul ajustement proposé pour le lundi suivant. Le résultat ? Plus de temps pour créer, moins de temps pour la mécanique. J'ai tout consigné dans un guide pratique. J'y ai mis les 5 automatisations copie-colle. Surtout, j'ai ajouté le chapitre que tout le monde esquive. Comment automatiser LinkedIn sans se faire bannir. Les vraies limites techniques : → 28 invitations par jour → Fenêtre d'activité 8h-18h → Les 5 mauvaises pratiques qui grillent les comptes C'est le système que j'utilise pour garder ma prospection active sans y toucher. Like Commente Claude Automate et je t'envoie l'accès en MP Connecte-toi à moi pour que je puisse te l'envoyer

You can now get 10x more output from Claude without upgrading your plan. Anthropic's rolling 5-hour window system changed how limits work. Combine it with these 10 fixes and you have the complete usage optimization stack: → Context management stops your limit burning on re-reads before you've done any real work → Session architecture keeps Claude running across your full workday Here's how it works: 1. Stop stacking context Click Edit on your original prompt instead of following up. Every follow-up re-reads the entire conversation history. Message 30 costs 31x more than message 1. 2. Reset every 15-20 messages Summarize the chat, copy it, open a new chat, paste as the first message. One developer tracked his usage and found 98.5% of tokens went to re-reading history. 1.5% to actual output. 3. Batch into one prompt 3 separate messages = 3 full context loads. 1 prompt with 3 tasks = 1 context load. Always. 4. Match model to task Haiku for quick tasks. Sonnet for real work. Opus for deep thinking. Most people run Sonnet on everything and waste 50-70% of their budget. Real example: A GTM engineer running Claude across 5 client workflows daily cuts token spend significantly using the model framework, session splits, and peak hour scheduling alone. Comment "CLAUDE" and I'll send you the full breakdown: all 10 fixes, the rolling window explained, and the Haiku vs Sonnet vs Opus model framework.

Anthropic's original 2022 pitch deck just leaked and the backstory is wild ! Late 2022. Claude didn't exist. 100 employees, a waitlist, and a 10-slide deck. The lead investor on their $580M Series B? FTX Sam Bankman-Fried's money helped launch what became the biggest AI safety company on earth. ▫️ Then: $1B raised, 2,500 companies waiting, zero revenue ▫️ Now: $63.7B raised, $14B ARR, $380B valuation Same founders. Same mission. 76x in under 4 years. Comment "Deck" and I'll send it your way :)

Anthropic distribue 3 certifications Claude gratuitement. Accès libre. Voici où cliquer : 1. Claude 101 - Pour comprendre enfin comment ça marche. 2. AI Fluency - Pour apprendre à créer tes propres systèmes. 3. Intro to Cowork - La fonction vitale pour ton contenu LinkedIn. Le tout sur leur portail officiel : anthropic.skilljar.com. On voit partout des "guides ultimes" vendus une fortune sur le web. Mais la source officielle est ignorée par 99% des utilisateurs. On accuse souvent la concurrence rude ou l'algorithme... quand le vrai manque est sur ton profil LinkedIn. J'ai préparé une analyse claude utilisé pour la croissance Linkedin avec mes conseils pour ton acquisition client tout est dans ma bible Linkedin commente BIBLE et je te l'envoie. Arrête de payer pour du vent. Apprends le vrai framework. PS : Je ne suis pas une employée de Claude. Je parle d'IA parce que ça fait partie de mon biz, c’est tout. Je documente, deux fois par jour, comment je transforme mon savoir en offre digitale virale sur Linkedin. Puisque je suis lancée, je veux que 𝘵𝘶 sois lancée aussi. Pour qu'on ne se laisse pas dépasser. Si cet article t'a apporté de la valeur, partage-le avec ton réseau pour les aider aussi. PS: pour aller plus loin avec Linkedin et l'IA https://lnkd.in/duiHC4we