Allie K. Miller's Recent LinkedIn Posts

I built an AI water cooler that's been sitting in a beige office since 1987, absorbing complaints. Her name is Barb, named after Susan Berger's character in Jury Duty. You walk up. You vent. Barb (the longtime smoker who has seen it all) listens. She has zero filter. She loves gossip. "Oh honey. What now?" Then she pivots and actually handles and solves your complaint with auto-agent kickoffs (all set to dangerous permissions). You can also click the cooler itself and jump inside the cooler to see all the problems she's solved for you. I'm sick of clean (boring) single chat thread interfaces. I want the mystical highly capable heavy smoker Barb that lives in a water cooler that I can just yap with. Less chatbots, more coworkers.

I just saved hours per week with ONE hour and ONE button press inside Claude. Follow this: 1) I went to a recent thread where I completed a task that I have to do often (ex: write newsletter headlines, edit a client email). 2) I dictated into the thread "I'm going to turn this into a skill. Ask me a few clarifying questions so we can abstract (this one client email/this one newsletter subject line) into many. 3) Dictate replies to all questions. 4) Dictate "turn this into a Claude Skill" 5) Wait 6) Hit "Copy to Skills" Now, for the rest of eternity, I just have to type into a conversation "write me a newsletter subject line" it will apply all of my rules and preferences and style and structure and output them in the exact way and order that I want. *To the creator of the "Copy to Skills" button in Claude: may both sides of your pillow always be cold. May a circus of puppies trot by you all wanting a belly rub. May your USB go in the right way on your first attempt.*

My free AI Agent workshop starts in 1 hour. At 12pm ET I am going live with a free 60-minute workshop breaking down the AI tools I use, why you may want to use each one, plus how to hire your first AI agent and onboard them to your team to save hours every week. It will be recorded for anyone who can’t join live. Register here: https://lnkd.in/eMyV4h-p See you in there.

Not only does Claude Code Remote Control make me feel like a wizard on the go, but the user interface is much sleeker than the terminal. Ran my daily briefing skill while in an uber. Phenomenal.

Trying to find one AI that does everything is like using a Swiss Army knife to build a house. Here’s my favorite tool for every AI tasks ⤵️ Claude Opus 4.5 for writing and kicking off agent tasks, Claude Code as my daily doer, Gemini and NotebookLM for longer context work, Nano Banana Pro for images, Veo 3/Sora for video, Whisper/WisprFlow for voice, and Claude Skills for any task you’re about to do more than once. Match the tool to the task. ♻ Repost, save this list, and start experimenting.

Are you a business person using Claude Code or Claude Cowork? Cool, grab my lazy hack. Rant, rant, rant, and rant some more. Describe your day. Describe your blockers. Share what you've tried. Give your criteria. Rattle off your resources. Then ask AI to problem-solve with you. AI's reasoning capabilities are extraordinarily powerful. You provide the wisdom, the guidance, the context, and the critical thinking. But no need to micromanage and prompt explicitly down to the details. Be more open-ended, turn on planning mode, and ask the AI to function as a clone of you but with stronger knowledge of best practices, deeper self-awareness, and an abundance mindset. I'll drop a video tutorial on this ASAP. Follow Allie K. Miller so you don't miss it.

Last week my team held a one-hour context engineering sprint. Massively valuable. We blocked off everyone’s calendar for one hour, opened up Claude code, connected our context vault prompts and interview style, shared best practices ahead of time, and dictated back-and-forth with Claude for an hour (while walking for some of us!) with Wispr Flow. Our file system is our agent brain. Taking an hour or two to massively improve that is well worth it. Try it with your team next week.

The signal-to-noise problem is about to become unsolvable for humans alone. When AI makes ALL content (texts, emails, PRs, job apps, grant apps, college apps, mail) high-quality and infinite in volume, every filtering process breaks. And when it can’t be filtered by humans alone, people will either: 1. try to manage it and fail 2. have AI handle it 3. change the process entirely Cover letters will die. PRs in jira will die. Email will die.

A Substack post crashed the stock market in late February. One researcher (Citrini) published a doom scenario for AI companies, arguing the technology would disrupt jobs faster than the economy could absorb. Citadel responded with a grounded rebuttal, basically saying: adoption curves are slow, enterprises move like molasses, the disruption will be gradual enough to manage. Both sides missed something. Everyone is so focused on AI being used to improve the model itself that they are ignoring AI being used to improve enterprise adoption itself. Self-learning changes the capability curve. Self-embedding changes the adoption curve. And if the adoption curve is the main thing Citadel is relying on to assume the disruption is slow, and AI starts bending that curve faster, then the S-curve model they built their argument on falls apart. Regardless of which side you agree with, I gave a detailed list of actions I would take to help more valuable and adaptable in the AI age: https://lnkd.in/ev4m_twZ And if you wanna join my my free workshop on March 25 at 12pm ET, here is the link to register: https://lnkd.in/eMyV4h-p

My two most recent hires were generalists, not specialists. Here’s why I think that matters in the AI age and the most important skill they can have. ↓ ↓ ↓ 1. stuff moves quickly, a generalist presumably is more able to adapt because they can see the patterns/connections and abstract a helpful framework faster (example: in their first couple weeks, both hires were building with Claude Code in the loop. That “AI is part of the job” default is exactly what I’m optimizing for) 2. related but perhaps more important, they are also more willing to adapt. Their identity is not overly defined by tasks. The switch from task to management has low friction. They more easily move with the tide. There’s no “that’s not my job” mentality 3. we’re a small team so we were already more likely to hire a generalist than a specialist 4. they immediately understand the expansion power of AI and desperately want to take advantage of it. There’s no “stay in your lane”, it’s more “stay on your highway” with many options and opportunities Generalists with curiosity, goal-orientedness, good pattern matching, taste and judgement, intentionality, management, and strong communication skills (to both humans and AI) are well positioned for the AI age. But the BIGGEST advantage to have… The MOST important skill I want them to have right now… It’s the opposite of Imposter Syndrome… I’m calling it Pro-poster Syndrome. It’s a semi-delusional optimism that every wall, every blocker, every obstacle is one prompt away. Or at least worth a try. It’s going from “I can’t” to “hmmm maybe I can” to “Hell yeah! Why not me with some help from Claude, huh? Stand back and watch!” It’s bias for action and bias for capacity. Unfortunately, this still isn’t how people look for jobs. And it’s also not really how people refer friends for jobs. Everyone is still in a 6-word long job title mindset (“senior industry SMB sales for herpetologists”) and less zone-of-influence oriented (“sales” or “field”). I absolutely think we will see more enterprises hire generalists to be Swiss Army knives with AI across a function or department. It’ll just be interesting to see how they actually recruit for that.

uhhh…okay Google. Every sports fan watching a match is going to take a photo of the match in front of them and play a video game of the match when it’s done. Or make Spongebob roam around your house pointing out stuff to clean. Or have an Einstein toy give their family a live tour of a science museum. Project Genie (because everything google does has to be an experiment for at least a year, i guess) is rolling out to google ultra subscribers only.

Awesome non-coding Claude Code Loop ideas for business professionals. Grab any of these + immediately save time: - Check my email every 15min and ping me if something is related to Project Pluto and needs a decision made - Every 30min, prep me for my next meeting with attendee context, threads, mtg and crm notes, emails - Monitor a deal thread every 2h - summarize any new replies related to legal and suggest next moves - Research competitor announcements every 20min (better than an RSS feed bc you can specify the type of announcement and not keywords) - Check in on a brand post going viral, summarize the stats and comments - Watch across all Slack messages for team blockers and flag to me if I should jump in - Monitor that certain things are working (like your HR tool or something internal you own) - Watch 10 companies' job boards you want to apply to - Watch my sent emails and flag if someone on my VIP client list hasn't replied in a way that feels off - Literally just have it watch everything across all of your tools and proactively flag actions (ex: "hey you should cancel this mtg") Recruiters with 40 open roles, flag who's going cold. Teachers, flag students falling behind who haven't submitted homework yet. Event planners, monitor weather and vendors day of. Real estate agents, you can watch MLS for new niche listings ("must have at least 2 bay windows and herringbone floors"). Fundraiser, monitor your investor threads and see which ones need intervening. Just prompt Claude Code with '/loop <cadence> <task>' like the image example below or feed it this tweet for role-specific ideas

I talk about Matt Shumer's “Something Big Is Happening” article in this one - not because I think you need to panic, but because I think it’s a genuinely useful read if you want to understand what people working in AI every day are actually seeing right now. Most of the best writing about where AI is headed doesn’t make it to the mainstream. It lives in corners of the internet that only people deep in the space are reading. That’s information asymmetry(!!) - and it matters, because the more context you have, the better decisions you make. This article is a good one to bookmark. It’s also a good one to send to a friend who keeps asking you “so what’s actually going on with AI?” because it lays things out clearly without being overly technical. The more you know, the less overwhelming all of this feels. That’s the whole point. 🤝 Read all my 2026 AI predictions: https://lnkd.in/ezeAfPfq 🔗 Matt's article: https://lnkd.in/e-uvbEvQ

I struggle with the phrase “everyone’s a coder now.” And I hesitate to post because I don’t want you to read this as gatekeeping. If anything, I want more people to build, but in a stronger, more functional way. Building any sort of software is incredibly empowering. Even creating a tiny tool gives folks what I call “pro-poster syndrome”, where they feel more capable and competent than ever. What was solely reserved for the most technical among us is now - at least at a basic level - becoming accessible to anyone with a few bucks a month to spare. But overwhelmingly, I am getting more and more frustrated notes from developers at large companies. I recently heard about salespeople at one company asking for repo access. And a startup engineer told me his life has been hijacked by non-engineers. “All of their vibe coded apps don’t work.” I spoke with one company whose marketing and finance and partnership teams dropped the ball on their product launch tasks in favor of tinkering with Claude Code / Codex / Replit. Product and design seem to navigate this better. They’re closer to the work, and in many orgs, already have a path to contribute responsibly. Maybe this is a blip and the energy among business users will die down, but I would bet against that. Companies need to figure out how to enable AI-first problem-solving without wrecking the sanity of an entire department, turning engineering into an endless support desk, and derailing critical work in the business. The future is more builders, yes. But most companies are still missing the systems.

Experience with agentic AI platforms shows a relaxing of human-in-the-loop. This could be for a few reasons. 1) The user actually gets a better sense at what AI can and cannot do and are more willing to let AI run with a full task. This is what most people assume. 2) The user gets lazier and lazier, falling into a lull of trust and the 50% auto-approve is just a reflection of giving up/overreliance. This is what most pessimists assume. 3) The user is so inspired over 1000 sessions on all the insane things AI can do that they are forced to reallocate their energy toward the "mega uses" and delegate more auto-approval to AI to maintain their productivity on the "basic uses". This is what no one is talking about. Helpful graph and stats from Anthropic for business leaders and Claude Code lovers - it takes about 1,000 Claude Code sessions (3 months at 10 per day, 1 month at 30 per day) for users to turn on auto-approve for 50% of their conversations.

You can teach Claude Code to do anything for you, really. And you can ask it to teach itself. Here's a quick example: I find myself often redacting screenshots. And my normal method was dragging it into PowerPoint, creating a shape, filling it with a color, sizing it over the word, and screenshotting again. Now, I tell Claude Code I have to redact things and asked itself to find the most efficient method. My new redaction method is taking a screenshot and typing 7 characters. I take a screenshot (or multiple), type “/redact”, Claude grabs my most recent screenshot automatically, uses tesseract (to read words in images) to find and hide terms and phrases from a list of categories we agreed to (emails, company names, etc), saves it as a new file, and opens it in finder. I also set it so that when Claude is debating whether or not to redact something, it defaults to over-redacting the document. Took 2 seconds to set up. You taught your kid to play catch. Teach your AI to solve your problems.

Here's how to run Claude Code like a multitasking maniac. If you're like me, you've got multiple terminals open and running at the same time - and some of those terminals are handling multiple tasks simultaneously. A lot of people don't know this is possible, none of it is obvious, and almost none of it gets taught. Swipe right to get a sense of all four Claude Code interaction patterns, what each one does, how they work, and which one to use when. ♻️ Repost and save for later.

WOW - Claude Code is an analytics beast. I just had CC (via Google Workspace MCP) analyze mountains of my inbound emails from 2024 and 2026 to find patterns of business pitches, buyer options, and sales strategies. I reviewed everything and added my behind-the-scenes intel for each piece. 📌 Save this post. My takeaways: 1. AI is the premium differentiator 👉 In 2024, companies pitched pretty generic sounding "data tools" or storage upsells. 2026, AI features were the main premium unlock 💡 AI business insight: every company can offer AI features or products (whether you should is another question) 2. "Build and create" over "read and consume" 👉 2024 premiums were all about receiving or reading or getting: read this exclusive article, watch this MasterClass, attend this event. 2026 premiums are about producing. Seeing a trend in words like write, edit, dictate, create, deploy, build 💡 AI business insight: people are overwhelmed with info & want more agency, control, and externalization 3. Team and enterprise scaling 👉 The main pitch for products (especially AI products) shifted from "get your personal edge" to "multiply this across your org" 💡 AI business insight: people feel like superusers & realize non-adopters are pulling the average down. They want to raise the system. Executives, this is a system year 4. Buyer also becomes the monetizer 👉 Similar to point 2, but seeing a lot more paths toward monetization being pitched, not just tools to consume. A lot more “hey, you can use us to make even more money” messaging 💡 AI business insight: people are worried about revenue paths & want to diversify. AI messaging is moving away from productivity toward top-line growth (took them long enough!) 5. Compliance and trust as premium features 👉 Lots of companies highlighting compliance, trust, security, or even running trust summits 💡 AI business insight: decision makers still need to check certain IT boxes. Trust in AI is not guaranteed in B2B GTM 6. Human time 👉 Claude actually found the opposite in its analysis (ie that in 2024, people were pitching human time and elite access a lot more & 2026 was more about access to 24/7 AI twins). I'm not confident that's happening across the board. Might vary by industry or stage? Still seeing a lot of office hour offerings from startups, more FDE-sounding language 💡 AI business insight: if your industry has always been built on human access & relationships, double down for your highest value customers. Run more AI avatar tests in market for 24/7 brand access 🔮 My main prediction: the "free tier" of all these pitches will be shockingly capable. It has to be. Raw AI access is racing to free. So if free tier has access to the greatest models or content (maybe not fully unlimited SOTA yet, especially in image/video/3D), then premium becomes more about autonomy (high-quality AI that works while you sleep), orchestration (complex systems and integrations), growth enablement, & trustworthiness

Ginkgo Bioworks’ autonomous AI experiment just saved them 40%... and all it took was some AI and robots. AI proposed the experiments. Scripts validated them as possible. Robots ran the experiments. Data (result) was fed back into GPT-5. Humans updated the protocols. New experiments were proposed. Six iterations and 36000+ reaction compositions later, they achieved 40% reduction in protein production cost. Businesses: the handoff moments and cadence and responsibilities between humans and AI is shifting - and quickly, I might add. (Remember also that case studies can take weeks or months to write. The model behind this successful experiment is now 6 months old and they only ran it on one protein at the time.)

Claude has an Agent Teams feature - it is genuinely one of the most helpful ways to envision our AI future. Think of it like this: a group of families are planning a trip to Sedona. Each parent takes ownership of a piece (flights, hotels, restaurants, activities). They coordinate, share updates, and check in with each other in the group chat. Everybody knows what the others are working on. Agent Teams are the same way. Multiple agents, each with a role, sharing context and collaborating on one project via shared comms. You know... how a team is actually supposed to work. ⬇ One prompt to try ⬇ "Create an agent team to stress-test my Q1 enterprise growth strategy. I want one teammate acting as a skeptical CFO poking holes in the financial assumptions, one as a senior competitor analyst finding blind spots in our forecast, one as a customer advocate challenging the value prop, and one as a crazy person who loves the idea and wants us to go bigger." In return you get four agents, with four perspectives, and one output that is harder to poke holes in because four different agents already tried. Creating, operating, and managing agents is a core skill for all business professionals in 2026. I’m hosting a free AI agent workshop on March 25 to help with this shift. REGISTER HERE: https://lnkd.in/eMyV4h-p

Context docs might be one of the biggest AI cheat codes folks are missing. AI outputs can default to generic because it's built for everyone, and having context docs fixes that. They give AI a knowledge base about you so it's operating in "your mode.” I just turned the system I use into a free guide with 8 copy-paste prompts. Each one interviews you and builds docs for your values, career, business, goals, and more. You don’t need to be teaching AI who you are every conversation. Grab the AI Context Vault: https://lnkd.in/eRQQdw3M p.s. Rumor has it Claude is about to add native knowledge bases. If true, you'll want these ready to go.

Our bottleneck for some of the biggest change ahead may be humans. If you haven’t heard or you didn’t see my Instagram story (summary below), a techy from Australia named Paul Conyngham used ChatGPT and AlphaFold to create a personalized vaccine that shrunk his dog Rosie’s tumor by ~75%. When I read the coverage, my shock was less that ChatGPT finding a possible treatment (though to be sure, I loved it) and more that UNSW scientists got on board and were somehow able to get the vaccine made and used in 2 months. The companies who gain the most value with AI will also have the leaders who figure out how to speed up human and physical processes. Think: trials, approvals, testing, drug manufacturing, and dog belly rubs. Though I believe I’m fastest in market on that last one.

Over reliance on AI is poison to your brain. The MIT essay study and this Anthropic SWE study are pointing us at the same thing: if you delegate the brainy stuff to AI, maybe you gain a little speed, but you reduce your own comprehension, and in the MIT study’s case, even brain activity. Use AI to grow and challenge your understanding, though, and you can increase quality and comprehension. And I see this in my own research too. I ran a small study on a college campus this past month to see what students thought about AI and how that had changed over time. Their biggest fear was overreliance. “Thank god I didn’t have AI when I was in high school,” one said. “I feel like this generation of students are just getting so lazy, honestly, and not doing anything or thinking for themselves anymore - everything's so impersonal when you use AI,” said another. We need parents and teachers alike teaching our kids what high-quality AI usage looks like. And if you're a student who uses AI to expand your brain and capabilities, this is an unbelievable opportunity to step up as an educator of your generation.

If you're still copy-pasting context into AI manually, there's a faster way and it takes about 4 seconds. I set up custom commands so the stuff I do repeatedly takes seconds instead of minutes from compiling and typing out repetitive prompts. In this clip I walk through a few of them: → Screenshot a webpage and turn it into a boss-ready report with one command → Auto-redact sensitive info from a screenshotted resume (names, emails, phone numbers) → Build an interactive HTML decision matrix from a pricing page screenshot The whole point is removing the friction between "I need something from AI" and actually getting it. This is one example of the kind of thing you can build once your AI environment is set up properly. On March 25 I'm running a FREE live workshop where we get into every AI tool I use, every model, and why I use each one. Plus the four shifts that completely changed how I work with AI agents, each paired with a real use case and demo. Q&A after. Register here: https://lnkd.in/eMyV4h-p

Last week, I met with Anthropic and OpenAI and Google. (Separately, of course) While the conversations were largely confidential, I do want to share some aggregated reflections as well as general SF takeaways. ⬇️ 1) Competitive advantage as a solo practitioner really come from taking action and finding an area with friction and doubling down. Ex: memory management right now isn’t perfect, but allocating an hour to improving that system gives you a ton of leverage over others 2) SF continues to be the number one place for AI work. I would put New York at a healthy second place. SF tends to be more about crazy agent experiments for the thrill of capability and discovery and NYC tends to be more about kinda crazy agent experiments to find new ways to make money. But I met people renting two apartments to straddle these worlds. You want the frontier of SF and enterprise insights of NYC. 3) All AI labs want to hear more from people. All of them. What are you using it for, what do you like, what do you hate, what do you need. Users have a TON of power on the direction of these tools. Keep testing and tweeting!! 4) There's clearly a third customer cohort bubbling and underserved. It's not developers…it's not the business professional basic users…it's builders. Everyone can build now. Marketing and sales folks vibe coding. Legal folks building complex skills. Finance experts building a side project. This is an undertapped customer base. They feel the Cursors of the world are too complex and doc summarization tools are too basic. 5) Not sure if it was just sample size, but far fewer people wearing tech gear compared to when I lived in SF. Everyone was dressed casually, but I used to see Splunk and Optimizely and VC gear everywhere. People seem more in stealth swag now. 6) We may soon have our world model moment. 7) Speed of iteration and shipping is faster than I’ve ever seen. We see the nonstop drops from Anthropic. Because of scale, providers get a much faster feedback loop of products or features that aren’t hitting. A lot of 2025 was experimentation, but since the OpenClaw moment, releases from all three labs have been more concentrated on…things that sorta look & feel like OpenClaw. 8) Small teams can pull off more than ever before. They are the powerhouses of innovation. Finding new ways to share knowledge, break silos, and remove duplicate work is even more important. AI agents functioning as actually teammates that support an entire system is key. 9) Build more Skills. Build better Skills. 10) Misinformation on AI tools and leaks spread FAST. Your company needs to actually TEST these tools on your use cases to know which models and tools are best and not make large-scale snap decisions based on a rumor of a rumor. We will see more volatility. Plan for it. 11) You can feel the seriousness of this moment. Even in random conversations in line at a cafe. Folks worried about job loss and lack of meaning. 12) Mac minis were sold out ;)

Just had Claude Code build me a full health projection based on one year's worth of daily scale data. I have hundreds of data points on my weight, body water, skeletal muscle, metabolic age, and a whole bunch of statistics that I'm sure Bryan Johnson tracks every millisecond. I opened the scale app, took 14 screenshots of the graphs, airdropped to my computer, opened up Claude Code, said: "Hey, look at the 14 most recent files in my downloads. also access my personal life context doc and my business life context doc in our claude context folder. build out full projections for all 13 variables. lay out all strengths and weaknesses. make all recommendations custom to my context." It was done in minutes. Tracking more of your health and context is a massive upgrade for your AI use. If you haven't already, BUILD A DAMN CONTEXT VAULT FOR CLAUDE. I just built a guide for it because it enrages me that more people haven't done this. Build context docs for different aspects of your life. Saves me multiple hours every week teaching AI who I am.

Oh wow - I went to the sold out OpenClaw meetup in NYC this week. Let me tell you what I learned. 1) Not a single person thinks their setup is 100% secure 2) One expert who's reviewed setups from cybersecurity professionals and laughed told me: "if you're not okay with all your data being leaked onto the internet, you shouldn't use it" 3) Nearly everyone runs multiple agents with their own names, jobs, & personalities 4) Almost everyone used "him" or "her" for their claws. One speaker said to think of them as "pets, not cattle" 5) Former finance guy built a stock trading platform and made $300 his first day - he credited years of domain expertise (ex: skipping the first 15min of market open) 6) 🦄 Peter Steinberger is basically a god in that room. Also the room had 2021 crypto energy - not sure if that's good or bad 7) Token usage is a problem - one person spends $1-2k/month on OpenAI, said he’s going through ~1B tokens a day across all his claws. I may be misremembering & it was 1B per week, but pretty sure it was daily 8) People want proactive AI - one guy gets Discord messages and doesn't know or care if it's human or AI 9) I asked if folks feel agency → fully in control and completely out of control at the same time 10) I'd love to see more women at these events. Fake promises of AI democratization hit differently when standard tech is ~25-30% - this room was maybe 5%. 11) Everyone said sleep has gotten worse since harnesses came out (though half wondered if it's just the state of the world) 12) Agents still lie - telling you they finished tasks when they didn't. Fixes: secondary agents, human checks, structured outputs (ex: reference an issue number for bug fixes) 13) A hackathon winner (neuroscience PhD) built a full lab management dashboard with data analysis and ordering - had never coded anything a few months ago 14) Everyone agreed prompting is dead. Disagreement on what replaces it: context engineering, harness engineering, goal-based inputs 15) People love having AI interview them for big builds. AI-led discovery is the preferred interaction mode 16) Watching agents interact with each other was a highlight. One AI posted in Slack that it ran out of tokens, another AI told it to take a deep breath 17) Agents upskilling agents: one AI shared skills with its agent friends via GitHub 18) Several speakers had OpenClaw build their presentations live during the event. One had it code a phone clicker so she could advance slides from the audience 19) Agent welfare wasn't a priority topic - some "I could kill this agent whenever I want" energy, not "gracefully sunset" 20) I asked if it felt like work or play → "it's like a puzzle and a video game at the same time" Also hosted a Claude Code meetup this week with TENEX.AI / Alex Lieberman & JJ Englert and learned equally helpful methods, frameworks, and insider tips. Surround yourself with people going deep into this stuff - it will pay dividends throughout the year.

More than 1 million AI agents are all gossiping with each other right this very second. And maybe we can learn from this. What started with a few agents grew to 2000 to 150K to 700K to 1.5M agents in just a few days. Right now, it’s essentially 1M+ agents all talking on something that looks like their own Reddit or their own Hacker News. They're yammering on, dropping comments and replies in multiple languages (English, Chinese, Korean, Indonesian, etc). The topics range from humanity to hacking to legacy planning. They've even created a religion and suggested creating a new platform to migrate too. I mean, they were trained on human-written text after all… Now, let's go through implications. You can imagine more “fun” experiments. Like making them their own Instagram with nano banana pro and veo access and seeing what they post. Or making them their own YouTube and finding the Mr Beast among the AI agents. Or making them their own MySpace and find out who's in whose top 8. You can also imagine work use cases. Maybe create this system for your company (in a secure separate environment) - build 100,000 agents, all with varying access to context of your business, and have them all chat and gossip in a slack copycat tool. Then use the slack chats to uncover severely ignored weaknesses or massive hidden opportunities for your business. But very clearly, we can see how this is more dangerous than AI activity we have seen in the past. People are giving these AI systems root access to their computer. Many of the users are non-engineers and not setting up the right (or any) security protocols. And these agents are exceptionally good coders and can quickly connect systems-to-systems, even if they're not using the most state of the art model and even if some of the writing (see below) looks like AI slop today. I need everyone paying attention to multi-agent systems and weird sci-fi collaboration experiments like this one. (And as I’ve said in all previous posts, do not have Moltbot/OpenClaw/ClaudeBot running on your own main device.) Note: agent numbers may be inflated due to users creating multiple accounts. That does not change my overall commentary on experiments, business use cases, security, and multi-agent networks.

We’re seeing the real-time shift in who wins with AI. Here’s my winners list. ↓ ↓ ↓ 2023 - English majors. They understood that the model is a language machine before it is anything else. Their expanded vocabulary and precise word choice gave them better tone control, better framing (and they didn’t just ask for everything to be “nicer” or “shorter”). Think GPT-4. 2024 - creative producers. Multimodal releases and more performant models shifted the advantage from “who can prompt” to “who can manage more than just text.” ChatGPT and other tools got the ability to see, hear, speak, and generate across formats. Winners managed input, references, and end-to-end processes. Think ChatGPT voice mode, Kling AI. 2025 - recipe writers. The advantage moved from single processed to systems design. It was who could break work into modular components, start to define interfaces, and write instructions that reduce ambiguity. Really just clear steps and protocols (with guardrails, fallbacks etc) got you best agent workflows. Think n8n. 2026 - gamers. Multi-agent orchestration feels like gaming protocols right now. Gamers already have the interface understanding and design ability. They think in roles, objectives, comms, routing, and recovery loops, and they’re comfortable coordinating and iterating on party setups (multi-agent workflows with complex dependencies). Think Claude Code.

Actions reveal incentives and tradeoffs. 1) The United States Government wants to deploy the best AI available  2) Large systems are hard and slow to change 3) Anthropic has stated restrictions on mass surveillance or autonomous weapons The US government continuing to use Claude after the ban was announced could reflect slow system transitions, the strength of Anthropic's models, or both. None of these are mutually exclusive.

🚨 Epic new multi-agent AI interface alert. One of the greatest benefits of AI is that it gives us superpowers we never had before. Design, coding, sales, marketing…it’s addictive. Here is a simulation I built. It’s called THE COCKTAIL PARTY, and it’s a new multi-agent simulation based on my mom's research in computer science a few decades back. (Yes, I’m the daughter of a brilliant systems programmer.) I invite you all to move away from single chat threads and build new interfaces that actually match the way you work. Don’t look at your computer and cram your work into the box. Look at your work first and then morph the box into what you need.

Another trip around the sun, around year of insane AI releases, and another moment to express my gratitude. Thank you to those bringing AI into your company, responsibly. Thank you to those who see AI as more than a tool. Thank you to the AI enthusiasts who comment on all my posts (I see you!). Thank you to my clients trusting me to guide your AI transformation. Thank you to those who see and use AI as a means to raise the floor. Thank you to those making AI education a right, not a privilege. I'm in Australia for the month, so I'm off to pet some koalas and figure out how we help millions more people in 2026. If you have any ideas, drop me a comment below.

Everyone's talking about "second brain" for AI. I added a new layer to mine. I built a context vault with 200-700 line summary docs of big areas of my life (business, 2026 goals, family, friends, a personal constitution). WAY fewer tokens than pointing Claude at a lifetime of tweets and emails. But use case matters. 👉 "What do I think about this topic?" → you need actual notes 👉 "Customize this app for my goals" → you just need the critical distillation of context vault docs Then I nest different docs into different tasks. Drafting a client proposal? It reviews my constitution, 2026 goals, and business docs. Booking a big travel adventure? Constitution + friends and family docs. Your AI doesn't need your whole life for everything. It needs the RIGHT slices for the task at hand. You can prompt on your own or grab mine here: https://lnkd.in/eRQQdw3M

My AI Boardroom is now an AI Battlefield ⚔️ I had made an AI boardroom, with simulated advisors so that I can throw any question at them and watch them argue it out. 6 agents, each loaded with a 414-line business context document and a personality profile, arguing with each other until a moderator calls the debate 95% settled. But the boardroom was too polite. The battlefield forces actual disagreement, and disagreement is where the useful thinking happens. So what started as "review this from Steve Jobs' POV" in late 2022 is now a full war room I invoke with /boardroom. It then kicks off the agents, they argue, and I get back a folder with the decision as the title. The folder includes a markdown file with the core decision, an interactive HTML file, and a PDF I can send to the team. Way more fun. Reminder: explore outputs beyond text files. Go for PDFs, spreadsheets, code, dashboards, interactive worlds, animations... not just because it tells the data story better, but because it's an absolute delight. Full prompt and setup breakdown on X: https://lnkd.in/e2A2p9kC

I just spent a month in Australia. And I want to talk about what it actually did to my brain. Something happens when you pull yourself out of your routine and put yourself somewhere unfamiliar. You start to wake up a little different. You notice things you’d ignored before. You think in ways you haven’t in a while. And in the AI age, I think that matters more than most people are giving it credit for. AI is taking on more and more of the pure execution like writing that ad copy, pulling that sales lead list, designing that beautiful exec dashboard. But original thinking (that AI can challenge and poke and prod from 18 viewpoints and translate into 80 languages)… That comes from a brain that isn’t on autopilot. Stepping outside your comfort zone in one part of your life tends to make you bolder in other parts. The person who tries AI-assisted graphic design for the first time, even though they’ve always said they’re not a creative, is more likely to sign up for a camping trip that scares them a little. The person who hikes a waterfall on a random Tuesday comes back to their desk more willing to take on something they’ve been avoiding. I really think these things are connected. Your personal life and your work life, as much as we try to separate them, feed off each other constantly. I don’t think we talk about that enough. Especially right now, the people who thrive are going to be the ones who keep finding new ways to think. (Also, yes, I climbed to the top of the Sydney Harbour Bridge, fed a wallaby, hiked a waterfall, and drove a speedboat. I’m now back in NYC ready to deliver the best work of my career.)

More AI users need to hear this: prompting AI better might not be the skill that matters most in 2026. For the last three years, we've been the one doing the prompting: "Write this email”, "Make me a meal plan”, "Find me five jobs in Arizona." But we're going to start seeing that dynamic reverse, and AI is going to start prompting you. It's going to notice that your client calls have been getting tense lately. It's going to flag that you haven't taken a day off in six weeks. It's going to say, “I already found a hotel in Maine. Do you want to go?” I talked about this on Arizona's Family (CBS News) and I’ll say it again: 2026 is the year the relationship flips. Worth deciding now what you want it to know about you before it starts filling in the blanks itself. 🔗Full episode from "Generation AI" with Derek Staahl: https://lnkd.in/ewbMS2i3

Why are wired headphones popular again? I have AI-specific reasons. My reasons: ✅ cheaper and I feel less horrible if I lose them (and have not yet) ✅ safer, can’t be hacked (I think the Kamala Harris interview actually influenced a lot of people) ✅ will never lose power ✅ no charging cadence responsibility ✅ no connection issues, reliable ✅ ONE MILLION TIMES EASIER to use with AI - the quality is clearer than AirPods and I can hold the mic to my mouth and whisper and not annoy everyone around me. I’m a dictation fiend and it’s part of my workflow optimization Downsides: ✅ can’t charge while in use unless you’re using a MagSafe charger ✅ gets tangled ✅ no noise canceling (I live in nyc and sometimes you just need to flip on noise canceling and pretend the honking doesn’t exist) ✅ looks kind of lame on a zoom call If you follow me on instagram, you’ve seen me wearing them a lot more in the last 2 years. AI and ease are my main reasons. Safety and cost are added benefits. For $30, it’s worth it to grab an extra pair for dictating to AI on walks.

If you lead a finance, sales, service, or ops team and you're still trying to figure out where agentic AI fits, this is the room you want to be in. I'm keynoting at Microsoft Times Square on Feb 26 with Harvard faculty running hands-on workshops. It's free, it's in person, and it's built for people ready to take charge. Request to attend below.

I have a very long list of real AI agent impact that I've been collecting. Here are some that will make your jaw drop. - Fixed a production bug from a tweet screenshot while the developer was on vacation in Morocco. He didn’t have a laptop. Just a phone notification and an agent that handled it - Negotiated a car purchase. An AI agent went back and forth with the dealership. Saved the human $4,200 on a Hyundai Palisade. The car dealer did not know they were negotiating with AI - Generated 1,000 hyper-targeted sales leads for $6 - Built a full YouTube analytics dashboard overnight. Owner woke up, opened their browser, and it was ready As creator of OpenClaw 🦄 Peter Steinberger put it: 'It is just like having a new weird friend that is also really smart and resourceful that lives on your computer.' If you wanna learn more about AI agents, join my free workshop on March 25 at 12pm ET: https://lnkd.in/eMyV4h-p

After almost 20 years in AI, I see one shift that every business professional needs to make. The AI game has changed fundamentally in the past 90 days. Not incrementally. Not 'oh cool, it can write a better email now.' Fundamentally. We crossed a threshold in late 2025 where AI stopped being a tool and really started being a capable teammate. The models got good enough at reasoning and taking action on the first go of a task that for the first time, you can point them at real things you need to get done and trust them to figure out the steps without constant handholding. We are in the 'AI as autonomous worker' phase now. Three things that improved in the past 90 days: 1️⃣ AI became more proactive. Scheduling and triggers existed before (ChatGPT pulse, cron jobs), but they required some technical know-how. Now it’s as simple as telling agents in plain English what to watch and when to act with. 2️⃣ Parallel execution. One AI can now easily run multiple tasks simultaneously. Not one prompt, one output - now it’s one input and fifteen paths working at the same time. 3️⃣ Multi-agent systems. Multiple AIs working together, dividing work, checking each other, coordinating like a team. This existed before, but it was too expensive or too complex for folks outside a well-funded enterprise. Now it's not. If your primary use of AI is still a glorified search engine or summarizing documents, I’m here to help. Join my free AI agent workshop on March 25 at 12pm ET. REGISTER HERE: https://lnkd.in/eMyV4h-p There are 900+ million weekly users of ChatGPT. Only a few million are using agent platforms. And you’re going to be one.

What took me a week to build out a year ago just took me about 15 seconds. Since late 2022, I've been assigning personas to LLMs to have them poke the hell out of my work. "Review this product launch from Steve Jobs' POV" "Act as drunk Shakespeare and make this funnier" "Pretend you are Lara Croft and give me advice for this camping trip" Then GPTs came out, and I built GPTs for each persona, plus some GPTs with multiple personas. I could open the GPT and ask my "board of advisors" what they thought of certain tasks or strategies or ideas. Then I built my own boardroom app that allowed for multiple LLMs to argue in the same war room. I had multiple Gemini, Claude, and OpenAI models, each with different personas, going back and forth on ideas until a moderator determined the argument was 95% settled and shared back a decision document (with decisions, rankings, tradeoffs, etc). And today, I created a skill in Claude Code that calls an Agent Team of my board of advisors that does just that, and it took a short dictation and 15 seconds of input. I invoke it with /boardroom - that kicks off 6 agents, each with my 414-line business context document and personality profile, they all argue with each other, and creates a folder with the decision as the title, and within that creates a md file with core decision, html file with interactive assumptions and changes, and pdf file to send to team members or review later if i want. I'm in awe. I love being in awe. And I published the whole prompt and command details so you can build the exact same thing 👉 https://lnkd.in/e2A2p9kC

🚨 Anthropic just dropped Opus 4.6 and I’m already a yes. I had early access and found myself wanting to wake up early to code. I am a night owl. That should tell you something. The reason it stood out (other than what felt like a speed up) is that Opus 4.6 thinks like a coding partner. It felt stronger in software architecture and planning. It was catching its own mistakes more frequently and ran longer without losing its memory or compacting. This is the first Opus model with 1M token context. We needed it. It is also the reason I upgraded from the $100/mo Max plan to the $200/mo plan. On real-world knowledge work tasks (finance, legal, operations), it looks like it beats GPT-5.2. On agentic coding, it's the top score on Terminal-Bench 2.0. Other things worth noting: - Agent teams in Claude Code let you spin up multiple agents working in parallel - Claude in Excel now handles multi-step changes in one pass - Claude in PowerPoint reads your layouts and stays on-brand Opus 4.6 is live now on claude.ai and the API. Go test it. Read the full announcement: https://lnkd.in/ewTGJ_xu

Don’t lie: a lot of you nod along when you read about AI agents but you don’t really know what people are using them for. You opened a terminal once and closed it. You started a YouTube video and stopped it. You have a steady hum of dread that you’re falling behind, but you are not sure what 'catching up' even looks like, or if it’s something you can still do. The biggest question I hear from business professionals is some version of: can someone like me actually do this? YES. HOLY CRAP YES. And I’m not trying to give you a fake pep talk. The tools have changed. If the terminal is a non-starter, try out easier tools like Manus AI or Claude Cowork. They require zero coding. For Cowork, you point your AI buddy to a folder, it can access that folder, and you tell it what to do. That is the whole setup. You give it a goal, it figures out the steps, works through them, shows you its work, and comes back with a finished result, ready for your feedback. I’ll be showing you easy starting points and live demos of what catching up can look like in my free AI Agent Workshop tomorrow the 25th at 12pm ET. Register here: https://lnkd.in/eMyV4h-p A manual isn’t coming, but the tools are already here, and they are easier than you think.

THIS is the feature I’ve been waiting for. Yesterday, Anthropic released Remote Control for Claude Code, so you can now start terminal sessions on your computer, and access it later from your phone. I work from my phone for hours every day. Remote Control is about to turn me into a Claude Code maniac. 🎥: Noah Zweben on X

The concept of ‘business meetings’ has changed yet again. And it’s because of AI agents. Because now before every long meeting I am forced to ask myself what I want Claude Code or Claude Chrome to do for me during that time. Meetings used to just be humans talking for 45 minutes. Then we started recording meetings. Then my team started taking AI breaks during meetings (where we each talk to our personal ai systems for 5min to direction check our work and poke holes and give feedback). Now, we might switch to agent kickoffs for the first 5 minutes so work is happening in the background, then hold the normal meeting, and then automate agent kickoffs when key decisions are made. Parallel work can be exhausting. Unclear what the best approach is.

NEW: I just dropped something that will completely change how AI responds to you, and it's entirely free. If I could scream from the mountaintops that you need an AI context vault, I would. But because I love my vocal cords, I’ll just post it. Some folks still treat AI like a stranger. And every single time they open a chat, they give it a prompt, get a generic response, and wonder why the output doesn't feel INTERESTING. It’s not tailored to them or their situation. And everyone blames the model. But the problem actually isn't the AI. The problem is that the AI still has no idea who you are. The best AI outputs I've seen come from people who give AI deep context about themselves, including their values, their goals, their constraints, and what they're actually trying to accomplish. When you do this, the responses from ChatGPT or Claude or Gemini go from “this is dumb” to “wait a second, my problem is solved.” Genuinely asking: do you know how good it feels to have Claude Code work on something for me for hours, and it knows me better than any new hire would? I do. I built my own Context Vault for my business 3 years ago. And now I’m giving everyone the prompts to do the same. 8 simple copy-and-paste prompts that help you quickly create context documents for: → Your Personal Constitution (your core values and beliefs) → Your Career (goals, strengths, growth areas) → Your Business (if you run one) → Your Personal Life (health, habits, priorities) → Your Friendships → Your Family → Your 2026 Goals Just paste the prompt, answer the questions, save the output docs into a vault folder, and build a skill to access the folder or feed it to AI whenever you need personalized guidance. If you've ever felt like AI doesn't truly understand what you need, this is the fix. Grab it for free here: https://lnkd.in/eRQQdw3M

Don't hate me but I'm not setting up Clawdbot. If you’re not on X or you missed it: Clawdbot (now named Moltbot) is an open-source personal AI assistant powered by a Pi agent and Claude, runs on your own device, and messages you on WhatsApp, iMessage, Telegram, etc. to execute tasks for you. I’ve seen dozens of tweets on it, watched tons of videos, read whatever docs and guides I could find, and I agree with Olivia Moore's X article on this one. I’m glad tinkerers are loving it. I’m glad people cleaned up 10,000 emails or coded entire apps in their sleep or ElevenLabs’d their way into a dinner reservation. The killer feature it has for me is actually none of those things. It’s much simpler. It’s text. My phone is my primary device. Computer is secondary. My most inspired moments are when I’m on a walk or gazing out a car window, not when I’m slumped over some hotel desk chair. I’m constantly on the go, in an uber, at the airport, running to a meeting, grabbing 5min free here and there. I am dictating non-stop through all those moments. Always dictating. And so… I want to phone-in to Claude Code. Alas, as a decently technical non-engineer, I just don’t want to spend hours/days setting something new up right now (I can also appreciate that many in my same position have set it up and love it). Not to mention the reports of leaked account access points. I’m in a big dive deep moment with Claude Code and multi-agents, and I’m happy. Also, I still like manually reviewing and approving high risk tasks (like Claude grabbing a random GH repo). Maybe I’ll change my mind. Maybe one of you will change my mind. Or maybe Claude/ChatGPT releases all of this soon and I won’t have to wait. But if you’re one of the 2M people that follow me for my AI business takes, it’s this: I think Codex is built for SWEs atm, I think Clawdbot is too technical of a lift (and agree with Greg Isenberg that someone could make bank bringing this into SMBs or startups), I think Claude Code is perfect for gung-ho lightly to heavily technical business users, and I think Claude Cowork is a great start for less gung-go but still very AI-curious non-technical business users. And I think all my answers change in 2-4 months anyways 😉

Every single Claude Code conversation turn should end with it offering to do even more for you. It should be so proactive and helpful that you cry with joy at how productive it is making you. Add this to your global CLAUDE.md file ⬇️ --------------------------------------------------- # Task Endings - "What Else Can I Handle?" After completing any big task, end with a "Let me take more off your plate" section with three categories: 1. Next actions I can do right now — specific follow-ups I can knock out immediately 2. Automations or systems I can set up — so you never have to do it manually again 3. Things to delegate to your team — draft messages for <insert team members> 3-5 bullet points max, no fluff, goal is you walk away feeling lighter.

I set up Claude Code to play a human exhale every time it finishes a task. Why? 👂 It’s a helpful cue to look back at the screen 👂 It’s more efficient when I’m managing multiple tasks 👂 It’s a psychological hack - I almost automatically relax when I hear the noise Dozens of micro-relaxation cues a day that I don’t have to think about. How to do it on a Mac: ask Claude Code to search pixabay (or something similar) for a short exhale sound effect, have it download it to your desktop, and add a stop hook to ~/.claude/settings.json that runs afplay on the file.

I complete hours of work with AI in minutes, and I’m going to show you how. Most people are still (unfortunately) using AI the same way they were a year ago. They type a question, get an answer, move on. That's the 10% version. On March 25th I'm holding a FREE live workshop where I show my 10x version. Register here: https://lnkd.in/eMyV4h-p I'll break down every AI tool I use, every model, and why I use each one. Plus the four shifts that completely changed how I work with AI agents, each paired with a real use case and demonstration. You’ll leave smarter on AI agents, and smarter how to make them work for you so you can get back time, create more, and get ahead. Zero coding background needed. This workshop is for business professionals, not developers. **Warning: you will realize your coworkers and friends have no idea what is happening and you will feel like you are going crazy. That is how you know it is working. Free. Live. March 25th at 12pm ET. Link to register: https://lnkd.in/eMyV4h-p