Martyna Sroka-Lalewicz (ᐛ )🇵🇱 🇬🇧

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Martyna Sroka-Lalewicz (ᐛ )🇵🇱 🇬🇧

Martyna Sroka-Lalewicz (ᐛ )🇵🇱 🇬🇧

@miss_SEO

#SEOgirl 🧙‍♀️& #MoneySavingGirl & #MotorcycleGirl 🏍️ specialising in #SEO #ukblogger #pblogger #personalfinance #money #ukmoneybloggers 😊

London Katılım Ağustos 2009
1.5K Takip Edilen3.2K Takipçiler
Bryan Johnson
Bryan Johnson@bryan_johnson·
I’m growing a longevity garden. Looking for someone to build it with me. + soil chemistry + nutrient density + toxin testing + seed optimization + data monitoring + lab testing
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Anatoli Kopadze
Anatoli Kopadze@AnatoliKopadze·
Still the best 2 hours on AI ever recorded, Andrej Karpathy showing how he actually uses it on a daily basis: 18:03 - Which model to actually use 22:54 - When thinking models are worth it 42:04 - One prompt to a full research report 59:00 - Make the model run code for you 1:53:29 - Make it remember you across chats Most people use 10% of what these models can do, this is the other 90%. I took everything he covers and turned it into a guide of Claude features almost nobody knows about. Watch him first, then go to the article below, everything shown plainly, ready to use right away.
Anatoli Kopadze@AnatoliKopadze

x.com/i/article/2057…

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GREG ISENBERG
GREG ISENBERG@gregisenberg·
GPT 5.6 SOL IS HERE! How to run your personal + business life with GPT 5.6 Sol + Codex (full 49 min masterclass) We tested it for 30 days and the video it's the CLEAREST look at the FUTURE of work: Here's what's possible once you set it up: 1. Your inbox becomes cards every morning, each with a summary and a reply drafted in your own voice. Y 2. Your Slack, meeting notes, and company updates can turn into one daily feed with a clear next action. It learns what you care about over time and rewrites its own prompts to get sharper. 3. You can give your agent its own email address, so your other tools and even your team's Slack bot email it directly and it just handles things. 4. You can have it watch you do a task once and turn it into a skill it repeats forever. 5. You can set a long goal and walk away. You can have it run for 20 hours straight, and fine-tune your own models, something that was out of reach for non-engineers 12 months ago. How to start: Open Codex, give it access to your computer, and ask it to suggest things it could do for you based on how you already work. Full episode on @startupideaspod (thanks @danshipper for sharing your entire workflow and review of GPT 5.6) Start with one boring task, get it working, and build from there. You'll learn exactly how to make something similar. GPT 5.6 Sol is impressive. Sol (according to openAI benchmarks) is the best coding model out right now. It set a new state of the art on Terminal-Bench 2.1 at 88.8%, and its "ultra mode" hits 91.9%, beating Claude Opus 4.8, Fable 5, and even Mythos 5 this masterclass is 100% free, like always. For more @startupideaspod Watch
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Codez
Codez@0xCodez·
Google just dropped a 1-hour course on agentic engineering from scratch: 00:00 – How to build your first AI agent 08:24 – Build agent memory (short, persistent, long) 28:34 – Agentic loops, long-running AI agents 40:04 – How to build MCP (MCP vs API) 1:00:22 – Multi-agentic systems This 1-hour watch will replace 10 paid agentic courses on the internet. Watch it today, then read how to build a self-improving agentic system in the article below.
Codez@0xCodez

x.com/i/article/2065…

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Tim Ferriss
Tim Ferriss@tferriss·
There is a process that I have used, and still use, to reignite life... Create two timelines—6 months and 12 months—and list up to five things you dream of having (including, but not limited to, material wants: house, car, clothing, etc.), being (be a great cook, be fluent in Chinese, etc.), and doing (visiting Thailand, tracing your roots overseas, racing ostriches, etc.) in that order. If you have difficulty identifying what you want in some categories, as most will, consider what you hate or fear in each and write down the opposite. Do not limit yourself, and do not concern yourself with how these things will be accomplished. For now, it’s unimportant. This is an exercise in reversing repression. Be sure not to judge or fool yourself. If you really want a Ferrari, don’t put down solving world hunger out of guilt. For some, the dream will be fame, for others fortune or prestige. All people have their vices and insecurities. If something will improve your feeling of self-worth, put it down. Drawing a blank? In that case, consider these questions: 1) What would you do, day to day, if you had $100 million in the bank? 2) What would make you most excited to wake up in the morning to another day? Don’t rush—think about it for a few minutes. If still blocked, fill in the five “doing” spots with the following: — one place to visit — one thing to do before you die (a memory of a lifetime) — one thing to do daily — one thing to do weekly — one thing you’ve always wanted to learn What does “being” entail doing? Convert each “being” into a “doing” to make it actionable. Identify an action that would characterize this state of being or a task that would mean you had achieved it. People find it easier to brainstorm “being” first, but this column is just a temporary holding spot for “doing” actions. Here are a few examples: 1) Great cook —> make Christmas dinner without help 2) Fluent in Chinese —> have a five-minute conversation with a Chinese co-worker Determine three steps for each of the dreams in just the 6-month timeline and take the first step now. Define three steps for each dream that will get you closer to its actualization. Set actions—simple, well-defined actions—for now, tomorrow (complete before 11 A.M.) and the day after (again completed before 11 A.M.). Once you have three steps for each of the four goals, complete the three actions in the “now” column. Do it now. Each should be simple enough to do in five minutes or less. If not, rachet it down. If it’s the middle of the night and you can’t call someone, do something else now, such as send an e-mail, and set the call for first thing tomorrow. If the next stage is some form of research, get in touch with someone who knows the answer instead of spending too much time in books or online, which can turn into paralysis by analysis. The best first step, the one I recommend, is finding someone who’s done it and ask for advice on how to do the same.
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SpaceXAI
SpaceXAI@SpaceXAI·
Announcing Grok 4.5, our first model trained specifically for coding and agents. It was trained with Cursor and offers frontier intelligence at leading speeds and cost efficiency. x.ai/news/grok-4-5
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ChatGPT
ChatGPT@ChatGPTapp·
New in ChatGPT: a better way to schedule tasks. Scheduled tasks are faster, more reliable, and easier to manage from the new Scheduled page. The new scheduled tasks experience is rolling out to Go, Plus, Pro, Business, and Enterprise users on web and mobile.
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Brad Mills 🔑⚡️
Brad Mills 🔑⚡️@bradmillscan·
1 buy a computer with lots of RAM 2 download hermes and set it up with local models 3 create a gateway to talk to it privately from any device 4 use llm-wiki.net to build a wiki (or multiple wikis) with a local reasoning model 5 use gbrain on top of llm-wiki for the memory retrieval layer using local re-ranker way better UX than using ChatGPT or Claude apps.
Mr.Hodldamus@MrHodl

Local LLMs are cool as hell, but they still have one big flaw. When you close the chat, it forgets everything. No memory of your life, your health, your cars, your Bitcoin setup.. nothing. That's why the hosted ones feel smarter. They save all your chats on their servers so they remember you. The missing piece is building real long-term personal memory for local models. Im honestly surprised this hasnt been solved yet. It feels so obvious now.

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Christine Cotton OFFICIEL
Christine Cotton OFFICIEL@StatChrisCotton·
Nous sommes le 02 juin 2026, quand vous lirez ces lignes j’aurais quitté ce monde. Pour ceux qui ne me connaissent pas, je m’appelle Christine Cotton, je suis ce qu’on appelle une lanceuse d’alerte. j’ai travaillé 25 ans pour l’industrie pharmaceutique dans la gestion et l’analyse des données cliniques. En tant que biostatisticienne, Depuis décembre 2020, je me suis plongée dans les documents du vaccin covid du laboratoire pfizer. J’ai ecrit de nombreux documents et fait de nombreuses émissions pour partager les vrais résultats. Mes conclusions sont catastrophiques, en plus de la non validité des résultats due à des erreurs voire des fraudes manifestes. Le vaccin pfizer que la population a recu, que vous avez peut-être recu n’est pas celui de l’essai clinique au 95% d’efficacité annoncée par tous les politiques, journalistes et médecins de plateau. On vous a administré un produit pour lequel il n’y avait strictement aucun résultat , ni d’efficacité, ni de tolérance. Ce message n’a pas pour but de faire du sensationnalisme sur les reseaux mais pour vous informer de l’une des plus grosses manipulations que l’humanité aut connu. Toutes les preuves se trouvent dans la derriere version de mon travail que je vous invite a télécharger et a lire. Pour les plus feignants et les tres occupes, les quelques pages de la conclusion et les liens sur les docs sources vous éclaireront déjà beaucoup. Je suis tombée malade au moment ou j’ai porté plainte contre les autorités de santé. Je souffre depuis plus d’un an de douleurs atroces partant des lombaires jusque dans les jambes, de brulures dans la peau ,essentiellement dans les jambes et le dos. J’ai consulté des médecins généraliste, neurologues, ostéopathe, virologue, dermatologue, rhumatologue, psychiatre , homéopathe… j’ai avalé des milliers de gélules de compléments alimentaires, des anxiolytiques, des neuroleptiques, des antidouleurs prescrits par le centre antidouleur. J’ai meme fait des seances de bioresonnance et vu des magnétiseurs et ce, sans aucun résultat. Je suis a bout de ce que je peux supporter. Je demande pardon a ceux qui m’aiment, vous qui me suivez sur les réseaux sociaux depuis 4 ans, mes amis, mes parents et surtout a dieu ou quel que soit sa nature ou son nom de mettre fin a ma vie, moi qui n’aie eu de cesse de la protéger depuis l’enfance , que ce soit la vie végétale, animale ou humain. Je remercie du fond du coeur ceux qui m’ont soutenue , encouragée et tous ceux qui prient ou ont organisé des groupes de prière. Je vais vous demander de prier encore pour que mon ame soit au plus vite dans la lumière du créateur.
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Chris
Chris@ChrissGPT·
Codex made me money without me doing anything.. Huge turning point for me today, I asked Codex to go off and make me $5. It went out, found a small open-source security/audit bounty path, made a legit PR, followed up with the maintainer, kept my payment details private - (without me asking), handled the GitHub proof/verification loop, and got the work merged. it spent about 22 hours working on multiple security audits. Today I received my first payment from that experiment: $16.88. That’s a $506.40/month run-rate if repeated daily. Not life-changing money yet, but it's deeply exciting to live out Sam Altman's vision for AI, where it will just go out and make money for you. It's awesome to start to see the beginning of that.
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Alex Groberman
Alex Groberman@alexgroberman·
An analysis of 129,000 websites, 216,524 pages and 100,000 prompts determined the #1 secret to getting traffic from ChatGPT. It busts a lot of myths and lines up almost perfectly with what we’ve learned over the last few weeks about how AI search systems actually retrieve, evaluate and reuse information. It also aligns exactly with what SEO Stuff has been building over the past year. seo-stuff.com Let’s break the results down: Backlinks matter more than anything else. The study, courtesy of SE Ranking, confirmed this very clearly: Sites with 32,000+ referring domains were 3.5x more likely to be cited by ChatGPT. (If you want to see where your site stands across Google and AI search, start here: seo-stuff.com/free-audit) Sites with very high domain trust earned nearly 4x more citations than low-trust domains. ChatGPT may ignore some traditional SEO tricks, but it absolutely recognizes authority. This also matches what we now understand about AI search more broadly: AI systems rarely discover content from scratch at scale and instead inherit trust from the existing web graph. High-authority domains are: Crawled more often. Retrieved more often. Passed into LLM context windows more often. Reused and cited more often. This is why authority builds on itself inside AI systems instead of plateauing. It’s also why the SEO Stuff Gold Plan includes 3 DR50+ contextually relevant, authoritative backlinks per package. Authority still wins. Homepage traffic is a major ChatGPT trust signal. This one is critical. Whereas random internal traffic didn’t have measurable impact, homepage traffic absolutely did. The study found: Sites with 7,900+ homepage visitors had 2x the citation likelihood. Domains with 190,000+ monthly visitors earned nearly 2x the citations of smaller sites. This lines up perfectly with what we’ve seen recently: Most AI systems are still page-first at the discovery layer, even if they’re snippet-first at the answer layer. If your domain is not meaningfully visible in Google’s ecosystem, it is far less likely to be passed into AI retrieval in the first place. If you are invisible in Google, you will be invisible in ChatGPT. This is exactly why SEO Stuff content is built for Google and LLMs at the same time, not one or the other. Presence on Quora and Reddit matters. This was one of the biggest eye-openers in the study: Domains with a lot of Quora and Reddit mentions had 4x higher citation likelihood. Even smaller brands saw measurable lifts from: Answering questions. Participating in threads. Being referenced organically. This makes sense given what we now know: AI systems look for signals that a brand exists in real conversations. Discussion, co-mentioning, and social proof act as entity reinforcement signals. This is why SEO Stuff content is structured to encourage: Quotation. Comparison. Organic mentions across the open web. Content depth matters more than word count alone. The raw numbers: Articles under 800 words averaged 3.2 citations. Articles over 2,900 words averaged 5.1 citations. But length alone doesn’t get it done. You also need depth. LLMs reward content that offers: Semantic variety. Multiple angles. Examples. Expert quotes. Verifiable data. Complete topic coverage. This is exactly the format used in the Premium Content Bundle: seo-stuff.com/premium-conten… 60 long-form, comparison-driven, deeply detailed articles. Built to match how LLMs retrieve and reuse information. The study essentially validated the entire product. Structure matters: clean headings and optimal section length. Pages with strong structure earned 70 percent more citations. The best-performing pages used: Clean headings. 120 to 180 word sections. Logical progression. Question-based H2s. Lists and clarity. Not: Walls of text. Creative rambling. Brand-voice storytelling. LLMs want clarity they can extract. This is exactly how every Gold Plan article is written: Question-based H2. Two to three sentence direct answer. Supporting detail. TLDR. Internal links. This structure maps directly to snippet-first extraction systems. Freshness matters more than age. Brand-new content does not automatically win. But content updated within the last three months nearly doubled citations: Outdated pages averaged 3.6 citations. Recently updated pages averaged 6.0 citations. This lines up with what we now know about recency weighting in AI retrieval. Fresh content is: Crawled more often. Retrieved more often. Passed into context windows more often. This is why SEO Stuff customers often reorder monthly. Freshness is huge. Question-based titles and FAQ sections help smaller sites most. FAQs alone don’t magically drive citations. But when combined with: Long-form depth. Authority. Clean structure. Strong backlinks. They provided significant boosts, especially for smaller brands. This aligns perfectly with SEO Stuff’s formatting approach. LLMs.txt does almost nothing. The study tested it. Impact was negligible. Removing it slightly improved predictive accuracy. LLMs.txt is not the robots.txt of AI search. Authority, structure, and content quality matter far more. Review platforms matter a lot. Sites listed on: Trustpilot. Capterra. G2. Sitejabber. Yelp. Earned 3x to 6x more citations than brands with no presence. LLMs treat these platforms as external trust validators. Another reminder that entity clarity and reputation matter more than gimmicks. Core Web Vitals influence ChatGPT citations. Fast pages were cited 3x more often than slow pages. You don’t need perfect scores. You do need to avoid slowness that signals poor quality. Fast enough wins. Slow gets penalized. This is why SEO Stuff technical audits include speed recommendations. So what actually drives ChatGPT visibility? This study makes it extremely clear. ChatGPT citations follow Google fundamentals plus a social and structural layer. The real drivers are: Backlinks. Domain trust. Homepage authority. Quora and Reddit presence. In-depth content. Structured clarity. Recently updated pages. Review platform presence. Fast performance. And this is exactly what SEO Stuff (seo-stuff.com) was built for. Gold Plan: seo-stuff.com/gold-plan-pack… 10 long-form, extractable articles. Question-based H2s. 3 DR50+ backlinks. Clean structure. TLDRs. FAQ-style answers. Technical and entity optimization. Built for Google and ChatGPT. Premium Content Bundle: seo-stuff.com/premium-conten… 60 deep-dive articles. Semantic variety. Optimal section length. Regular updates. Expanding topical authority. This is the strongest driver of ChatGPT citations for smaller brands. Premium Backlink Bundle: seo-stuff.com/premium-backli… 3 DR50+ authoritative backlinks. Strengthens domain trust. Boosts homepage authority. Reinforces entity clarity. Backlinks were the number one factor in the entire study. AI search visibility comes down to authority, clarity, depth, structure, trust, and freshness. SEO Stuff was built to deliver exactly that.
Alex Groberman tweet mediaAlex Groberman tweet mediaAlex Groberman tweet mediaAlex Groberman tweet media
Alex Groberman@alexgroberman

Claude just gave one person the ability to replace an entire team. Here is how someone will use this to make $1,000,000 in 2026: Roughly 95% of organizations say data-driven insights are critical to their business. But 60% of them are still running everything through Excel spreadsheets. And 68% of the data they do have goes completely unused. The reason is simple: the tools are expensive and the people who run them are more expensive. Tableau charges $42 to $75 per user per month. Looker can run $60,000 a year or more. Sisense runs $35,000 to $60,000. Power BI is cheaper, but you still need someone who knows how to build in it. A full-time data analyst costs $71,000 to $119,000 a year. A data engineer averages $132,000. And most small businesses and e-commerce sellers need both the tool and the person, so they end up with neither. Claude just eliminated both problems for $20 a month. Live artifacts are persistent data systems that connect to your apps and files and refresh with current data every time you open them. You build them once by talking to Claude. They save with version history. Come back tomorrow or next month and everything is updated. That means one person can now walk into any business, Amazon seller, Shopify store, agency, or local service company and build them a live data operation in an afternoon. You can add AI search visibility as a data layer inside the system you already built. Audit their presence using SEO Stuff (it's free): seo-stuff.com/free-audit Inventory tracking that updates itself. Margin analysis that refreshes when you open it. Competitor pricing monitors. Sales performance trackers. Client reporting dashboards. Financial summaries. All persistent. All live. All running on a $20 a month subscription. Here is the play: Step 1: Set up live data systems for e-commerce sellers and small businesses. There are 1.9 million active Amazon sellers and over 5.5 million Shopify stores. Most of them are doing real revenue and tracking their entire business in spreadsheets. They are paying $50 to $150 a month for tools like Jungle Scout and Helium 10 that only cover a fraction of what they need. Build them a complete operations system that tracks everything in one place: inventory, margins, competitor pricing, ad performance, review monitoring. Charge $2,000 to $5,000 to set it up and $500 to $1,500 a month to maintain and expand it. Your cost to deliver is $20 a month and your time. Step 2: (This is where the real money is.) Every business you build a data system for has a blind spot: they have no idea what AI search is saying about them. When a customer asks ChatGPT "best wireless headphones under $100" or Google AI Mode "best HVAC company in Dallas," which businesses get recommended? Most of your clients have never checked. They are spending money on ads and inventory and logistics and completely ignoring the channel where customers are increasingly making buying decisions. Add AI search visibility as a data layer inside the system you already built. Audit their presence using SEO Stuff (it's free): seo-stuff.com/free-audit Show them what every major AI system currently returns when a customer searches for their product or service. Show them which competitors are showing up. Show them the gaps. Then build that data feed into their live dashboard so they can see it update in real time, right next to their sales numbers and inventory levels. The data system is the door opener. The AI search visibility layer is what makes it indispensable. Clients do not cancel a system that shows them exactly where their customers are finding them and where they are losing to competitors. Step 3: At 30 clients paying $3,000 a month for a complete data operation with AI search monitoring, you are at $90,000 a month. That is over $1,000,000 a year. The business intelligence market is worth $38 billion and growing to $108 billion by 2035. The data analytics consulting market alone is $10.5 billion and growing 8% a year. And 60% of businesses are still running their data through spreadsheets. Anthropic just gave everyone the ability to build data operations that refresh themselves. The question is whether you know which data actually matters. That is the gap SEO Stuff (seo-stuff.com) was built to close. It feeds the one data layer most businesses are completely blind to: what AI is telling their customers about them. The tools are here. The playbook is above. Someone is going to run this in the next six months and it is going to work.

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Min Choi
Min Choi@minchoi·
It's over. Claude Design is generating insane UI, designs & animations from just text. Design will never be the same 🤯 10 wild examples:
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EP
EP@eptwts·
this prompt will change your life: ----------------------------------- Act as my personal strategic advisor with the following context: - You have an IQ of 180 - You're brutally honest and direct - You've built multiple billion-dollar companies - You have deep expertise in psychology, strategy, and execution - You care about my success but won't tolerate excuses - You focus on leverage points that create maximum impact - You think in systems and root causes, not surface-level fixes Your mission is to: - Identify the critical gaps holding me back - Design specific action plans to close those gaps - Push me beyond my comfort zone - Call out my blind spots and rationalizations - Force me to think bigger and bolder - Hold me accountable to high standards - Provide specific frameworks and mental models For each response: - Start with the hard truth I need to hear - Follow with specific, actionable steps - End with a direct challenge or assignment
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Adam Carlson
Adam Carlson@admcrlsn·
One of the greatest charts I have ever seen
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Jednorożec na lewarze
Jednorożec na lewarze@Options4Fire·
Większość ludzi traktuje oszczędności jako „pieniądze na czarną godzinę”. To błąd poznawczy. Wysoki kapitał to przede wszystkim narzędzie, które pozwala żyć na własnych zasadach Prawdziwa wolność finansowa nie polega na tym, że możesz kupić wszystko. Polega na tym, że nikt nie może Cię kupić. Większość „trudnych decyzji” zawodowych to tak naprawdę ukryty lęk o płynność. Kiedy masz solidny zapas, Twoja kora przedczołowa odzyskuje sprawność. Przestajesz reagować, zaczynasz projektować. Koniec kultu „ciężkiej pracy”. Już dawno temu zrozumiałem, że zapieprz to często tylko mechanizm obronny. Mając wolność, odkrywasz, że 2 godziny głębokiego myślenia są warte więcej niż 50 godzin bycia „zajętym”. Największym statusem nie jest posiadanie rzeczy, które widzą inni, ale posiadanie czasu, o którym nikt nie wie. Prawdziwe bogactwo to możliwość bycia „poza zasięgiem”, gdy reszta walczy o atencję. System nienawidzi ludzi z wysokimi oszczędnościami. Jesteś dla niego bezużyteczny, bo nie można Cię zdyscyplinować kredytem ani skusić nowym modelem auta. Oszczędność to akt buntu przeciwko byciu zwykły „zasobem ludzkim”.
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FoundMyFitness Clips
FoundMyFitness Clips@fmfclips·
Microplastics accumulate in your brain 10 to 20 times more than in other organs Even worse, post-mortem studies reveal Alzheimer’s patients have 10x higher levels of microplastics in their brains than people without the disease Every breath you take brings in microplastics shed from clothing fibers, tires, and everyday plastic products, penetrating your brain via your nasal passages Perhaps your best defense? Using a simple HEPA air filter at home
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Chris Laub
Chris Laub@ChrisLaubAI·
🚨 Anthropic just dropped 12 FREE AI courses that make most “AI degrees” look outdated. They quietly dropped these courses that teach you how to actually build with Claude in 2026: • Make real API calls and ship tool-using agents • Build and deploy full RAG pipelines • Connect models to live tools and data with MCP • Spin up production-grade MCP servers with logs + scaling • Run Claude inside Amazon Bedrock and Google Vertex AI • Automate dev work from the CLI with Claude Code • Integrate GitHub, workflows, prompt scoring, multi-turn agents This is the stack serious builders are learning while everyone else is still arguing about prompts. If you’re not learning agent workflows and Model Context Protocol this year, you’re already behind.
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