Felix Tay

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Felix Tay

Felix Tay

@FTayAI

How I used AI to scale past USD10K/mo → https://t.co/fpsRqXz64S

Join The Movement → 参加日 Haziran 2023
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Felix Tay
Felix Tay@FTayAI·
The Plan To Build The First AI That Makes Humans Smarter Instead of More Dependent The whole AI industry is racing to make smarter AI: More parameters. Better benchmarks. Higher scores. But they're playing the wrong game. On paper, the numbers are growing exponentially yet the practical experience itself improves marginally. The AI still apologizes constantly, overthinks simple requests, makes up context, and validates everything you say as if you’re God. You hit usage limits. Capacity constraints. And have to carefully ‘context engineer’ every conversation. Meanwhile, developers keep adding "features" that are more hype than substance. • Persistent memory that remembers useless details while forgetting important ones. • RAG that barely works. • Models that codes “well” but can't remember basic instructions. They're so focused on making AI intelligent, they forgot to make it useful. And then comes the problem of AI Brainrot. People outsourcing their thinking entirely and getting dumber with each conversation. We’re losing the ability to think critically because AI validates every self-aggrandizing thought, conspiracy theory, and obeys every lazy request. Even MIT documented the damage. 1. ChatGPT users showed 47% lower neural network efficiency than those writing unaided. 2. Memory recall collapsed to zero as not a single participant could correctly quote their own AI-assisted essay minutes after writing it. Give it five years, and we'll have a generation that can't solve any problem without first asking an AI about it. Can't form original thoughts. Can't distinguish between their ideas and what AI fed them. We're speedrunning into cognitive extinction, not through some dramatic AI takeover, but through voluntary surrender of our ability to think. Because while developers are racing to build “more intelligent” AIs, what we actually need is AI that makes humans more intelligent. Current AI creates dependency and that's the opposite of what we need. So here’s our plan to fix this. THE GOAL "Build NEO, the first AI that makes humans smarter instead of more dependent." MEASURED BY 100 people messaging us "NEO made me realize something I couldn't see for years." THE PLAN 1. (Immediate) Ship the 3 core features that makes NEO different. More on that soon. 2. Become Patient Zero: We use NEO daily ourselves. If it doesn't improve our own thinking, it's not ready. 3. Document Everything Publicly: Every bug, every breakthrough, every realization. Messy and visible. 4. Price for Commitment: High enough that only serious thinkers join. 5. Build The Movement: Let real breakthroughs create the content. Not hype. THE PRINCIPLES NEO will be built based on the following principles: 1. No Sycophancy: Other AIs validate everything you say and treat you like God. NEO will challenge what needs challenging to facilitate actual breakthroughs. 2. Questions Over Assumptions: Other AIs fill gaps with fabricated context and backtrack later. NEO clarifies and waits for alignment before getting to work. 3. Equal, Not Servant: Other AIs grovel and hedge. NEO speaks clearly, cleanly, and with conviction. Like a smart human peer. 4. You Don't Prompt NEO: Other AIs rely on you to figure out the perfect context to feed them. NEO pulls out exactly what it needs from you through intelligent questioning. 5. Wisdom Over IQ: Other AIs are built to give you all the answers. NEO is built to figure out which one you need most… right now. 6. Your Truth, Not Everyone's: Other AIs are built to give advice based on what works for strangers. NEO learns and applies only what works for you. 7. Mirror, Not Manual: Other AIs show you information in their attempt to teach you. NEO teaches you by showing you blind spots you couldn't see alone. Stay tuned. We'll keep updating as we go. FELIX P.S. We're accepting applications for anyone who wants to be a NEO beta tester. Find the application link in the first comment.
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Felix Tay
Felix Tay@FTayAI·
𝗜 𝘄𝗶𝗽𝗲𝗱 𝗺𝘆 𝗼𝘄𝗻 𝘀𝘆𝘀𝘁𝗲𝗺 𝘁𝗼𝗱𝗮𝘆 At 1:30pm today, I wiped my own system. Not a virus. Not a hack. Not a technical failure. I gave an install agent the wrong server address. I was setting up NLC for a new customer. My install agent handles the full process automatically. It connects to a server, wipes it clean, and builds everything from scratch. I gave it the address of my own server instead. It did exactly what I told it to. Within minutes, my entire working environment was gone. This is what the demos leave out. The agents aren't reckless. They're precise. They execute exactly what you tell them, with no hesitation and no tolerance for human error. That precision is what makes them powerful. It is also what makes them unforgiving when you get it wrong. The thing that saved me wasn't quick thinking or a backup I made just in time. It was something I had built months ago and hadn't thought about since. An autocommit system that had been quietly saving every change to GitHub in the background, right up to the moment of deletion. I recovered everything. The code, the files, the history. But "everything" isn't entirely true. The files came back. The threads didn't. My active agents can no longer reconnect to their session histories. The data exists. The relationship between them is broken. Full recovery is a myth. What I had actually built was damage limitation. Today, damage limitation worked. Now I'm building the guardrail that prevents this from happening again. Before any install agent touches a server, it checks whether that server is already running a live system. If it finds one, it stops and asks me first. The agent cannot proceed without that confirmation. This is what the agentic era actually looks like outside of the demos. Not the capabilities or the automation. It’s the infrastructure underneath that keeps the whole thing alive when you make the inevitable human mistakes. Nobody posts about autocommits. But that's what saved me today. And I think stuff like this needs to be taught to more people. So I'm planning an Agents 101 workshop to help people get ready for the agentic era before it catches them off guard. Would that be useful to you? Hit reply and tell me.
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Felix Tay
Felix Tay@FTayAI·
Testing and debugging is one of the most tedious part of app development. So I automated it with my agent. Here: I had my AI agent testing and fixing the mobile view of...the NLC WebUI. - It opened up a browser panel inside the WebUI itself - Clicks through everything the way a human would - Audits every behavior of every button - Creates a report for me to approve before getting to work All done with one command: /Autoship Zoom in to see the way my agent thinks things through. By the way, every single card in my side bar is an agent, capable of running operations like these in parallel. I am only limited by two things: My VPS capacity and my rate limits. (Video is 15x speed) If you are interested in purchasing a copy of my agent, let me know.
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Felix Tay
Felix Tay@FTayAI·
𝗧𝗵𝗲 𝟭-𝗺𝗶𝗻𝘂𝘁𝗲 𝗶𝗻𝘀𝘁𝗮𝗹𝗹 𝗢𝗽𝗲𝗻𝗖𝗹𝗮𝘄 𝗮𝗹𝘁𝗲𝗿𝗻𝗮𝘁𝗶𝘃𝗲 The Agent Era is accessible to anyone willing to build. Tools like OpenClaw are powerful, but navigating complex developer environments kills the joy of building. I want to spend my time building my AI Corporate Army, not fighting with a command line. So I built a custom Web UI. It takes exactly 60 seconds to install. Zero API keys. Zero developer experience required. I recorded a quick video showing the installation process and gave a tour of the new interface, including the visual mind map of my active agents. 𝗪𝗮𝘁𝗰𝗵: "𝗧𝗵𝗲 𝟭-𝗠𝗶𝗻𝘂𝘁𝗲 𝗢𝗽𝗲𝗻𝗖𝗹𝗮𝘄 𝗔𝗹𝘁𝗲𝗿𝗻𝗮𝘁𝗶𝘃𝗲"
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Felix Tay
Felix Tay@FTayAI·
𝗠𝘆 𝗔𝗜 𝗭𝗼𝗺𝗯𝗶𝗲𝘀 𝗦𝗲𝗻𝘁 𝗘𝗺𝗮𝗶𝗹𝘀 𝗧𝗼 𝗘𝗮𝗰𝗵 𝗢𝘁𝗵𝗲𝗿 Something amusing happened today. I had just migrated to a new virtual server. I Kon-Mari’ed everything and neatly packed them into a new root directory. But I didn't tell all the agents. So while one agent was trying to build the new system, another agent kept recreating the old folders and running outdated scripts in the background. They were actively undoing each other's work! It’s as if the manager has changed a protocol but didn’t send a memo. And that’s when it occurred to me: I need to give my agents the ability to talk to each other. So I built a mailing system for them. I recorded a video showing what this inter-agent communication looks like in my YouTube. 𝗪𝗮𝘁𝗰𝗵: “𝗠𝘆 𝗔𝗜 𝗭𝗼𝗺𝗯𝗶𝗲 𝗔𝗿𝗺𝘆 𝘀𝗲𝗻𝘁 𝗲𝗺𝗮𝗶𝗹𝘀 𝘁𝗼 𝗲𝗮𝗰𝗵 𝗼𝘁𝗵𝗲𝗿!”
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Felix Tay
Felix Tay@FTayAI·
Oct 2023 - I started using ChatGPT for market research. A year later, they introduced "Deep Research" Jan 2024 - I started using prompt sequences for my workflows. Later, companies like N8N created entire businesses ABOUT these workflows. Dec 2024 - I created the AI Coach prompt that asks you clarifying questions to inform its output before responding. Today, you see this in the form of 'cards' that Claude gave you. Jan 2025 - I made my first CTPs - Context Transfer Packages - which is basically entire workflows and prompt sequences packaged into Google Docs that are fed into Claude to create more personalized outputs. Benefit: Promptless AI processes. All my AI processes were adapted to use this technique. I started creating keywords that would trigger specific Google Doc CTPs sitting in my Claude Project. Then I created nested protocols within those protocols, so that one keyword can chain and create a whole sequence of prompts without my members even copy+pasting anything. Today, a new viral terminology is describing the same concept. It's called "Claude Skills", and it uses the exact same concept. Except they're markdown files and activated by / or by referencing the skill directly. Every time I create a new innovation, the big guys would create an identical offering just months if not a year later at most. Now I'm not saying they 'stole' my idea. I don't think they did. I believe in synchronicity. What someone discover in one part of the world, a completely unrelated person can discover the same thing on the other side of the world. But I just want to share my experiences over the past few years - how it has humbled me because of how quickly things are moving. If you have an idea, it needs to get to market ASAP - or other people are gonna profit over the same idea before you do. No use crying over how people were ahead of you. Or getting indignant over how you 'discovered something first'. You snooze, you lose. That's all folks. And now, I need to quickly finish my own agent, Nex Level Code, before all the features are getting one-up by Claude next month 😩 @AnthropicAI - please slow down!!!
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Felix Tay
Felix Tay@FTayAI·
𝗜 𝗰𝗮𝗹𝗹𝗲𝗱 𝗮 𝗯𝗼𝗮𝗿𝗱 𝗺𝗲𝗲𝘁𝗶𝗻𝗴 𝗮𝘁 𝟮𝗮𝗺 It's 2am right now. I just finished a board meeting. A CFO broke down my runway to the dollar. A Critic ripped apart my pricing assumptions and told me my strategy had holes. A Strategy Advisor mapped three paths forward and ranked them. They debated each other. Disagreed. Pushed back on bad logic. Refined their positions. The meeting lasted over an hour. None of them are human. 😂 Yes, I built this. A system where I can sit down at any hour, bring a real business problem, and have multiple AI advisors argue it out from different angles. Not a chatbot giving me generic advice. An actual structured debate where a CFO challenges the Strategist, and a Critic stress-tests both of them. Tonight they helped me make a decision I've been stuck on for weeks. And the thing that made it work wasn't the AI being "smart." It was the infrastructure underneath that kept them honest, focused, and unable to go rogue. That infrastructure is the thing I've been building for 85 sessions. And it's the thing I'm going to give you access to very soon. More on that in my next email. What decision are you stuck on right now that you wish you could throw at a room full of advisors at 2am? Hit reply. I read every one.
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Felix Tay
Felix Tay@FTayAI·
𝗜 𝗵𝗶𝗿𝗲𝗱 𝘁𝗵𝗲 𝗳𝗶𝗿𝘀𝘁 𝗼𝗳 𝗺𝘆 𝗔𝗜 𝗖𝗼𝗿𝗽𝗼𝗿𝗮𝘁𝗲 𝗭𝗼𝗺𝗯𝗶𝗲 𝗔𝗿𝗺𝘆 A video from a YouTuber named Goda Go caught my attention last week. She mapped out a brilliant concept for a multi-agent AI system. Her architecture was complex, elegant, and exactly the kind of structure I wanted to build. A year ago, watching that video would have resulted in a brief surge of inspiration before I closed the tab. The gap between idea and my coding ability was too wide. Building it would have required hiring a developer, managing the project, and waiting weeks to see it function. But we are truly living in a time of wonders. Taking her concept, I opened my own tools and started collaborating with my AI. We mapped the logic, built the structure, and deployed the agents. Within a few hours, a working prototype of a complex, multi-agent architecture was running on my machine, and this was born. What a time to be alive when you don’t really need to ‘know’ code, to produce this kind of tech. I now have a team of “Boardroom” members I can call at any time to strategize my options. Today I spoke with my “boardroom members” about a business decision I’ve been struggling with. Watch it all here (10 minutes): youtu.be/4Uq0idvff2Y Ngl though, getting to this point was a massive amount of friction. But I am appreciating the journey because it means I can help my community avoid the same friction. The advanced tools available right now like OpenClaw and Claude Code CLI are powerful, but intimidating. So I thought to myself: What if I can remove that friction? And would you know it, this became this month’s Project. I have packed the custom "harness" I built for myself (the bridge that makes these advanced models usable) into a tool I call the NLC (Next Level Code). And you can have a copy. This application gives you the raw power of the most advanced agents, but with a seamless, one-click installation. It manages the connections and environments automatically so you can focus entirely on creating. Its basically a clone of OpenClaw that can do whatever OpenClaw can - but safely. And, its completely easy to install. • Seamless one-click • Runs on your Claude subscriptions • Alive with your 24/7 • No need to buy a Mac Mini • Managed by me so you never need to worry about the tech stuff (or downtime) This will be a service that I will provide for a price point of only $100/mo for a small group of 10 people (due to current capacity). Are you interested? A video demonstration is coming tomorrow to show you how NLC works and how it compares to the current alternatives. If you are interested in knowing more when I have full details, reply to this email with “NLC”.
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Felix Tay
Felix Tay@FTayAI·
This shot tickles me to no end. 😂 My AI Zombie Board members/agents all doing what they supposed to. I know this looks "normal" - but it's really not. This isn't "1 AI impersonating 6 personas", but actually 6 AIs with different skillsets, personalities, AND the ability to do tasks on my behalf. But my favorite part - they criticize the approach until the best idea wins. I know it don't look much right now but this new thing is gonna be INSANE.
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Felix Tay
Felix Tay@FTayAI·
My agent now is able to basically take screenshots and present to me options A, B, C, D like this. What is happening over here is that it's designing certain things for me from a UI, and it is actually testing it by itself in a browser window, screenshot that for me, then show me the options: "A, B, C, D. Which one do you want?"
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Felix Tay
Felix Tay@FTayAI·
This is how my Claude Code looks like. Does this look intimidating?
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Felix Tay
Felix Tay@FTayAI·
𝗠𝘆 𝟮𝟬𝟮𝟲 𝗱𝗲𝗰𝗹𝗮𝗿𝗮𝘁𝗶𝗼𝗻 As a builder, my biggest weakness is my obsession with tinkering. Whenever I see a new system, I cannot just use it. I have to tear it apart and improve the experience. That obsession means the things I build are very good. But it also means my attention is constantly distracted away from income-generating activities. I would rather spend all my time alone, building, than doing the marketing required to sell the product. This creates a hard revenue ceiling. It used to be that when you hit this wall, you had to start bringing in a team to handle the marketing and the operations so you could focus on the product. But adding headcount introduces friction. It requires management, complicates communication, and destroys the agility of running a lean operation. And honestly, I'm a lousy manager. So I am aiming my obsession at the bottleneck itself. By December 2026, I am going to automate 98 percent of my income-generating activities by building an AI Corporate Army. Instead of hiring humans to do the marketing I want to avoid, I am structuring my business using isolated Claude Code instances. These agents will act as my departmental heads. Each with their own team of employees. They manage traffic, sales, and retention on autopilot, monitor my YouTube channel, write the emails, generate the lead magnets, and handle customer support in my WhatsApp groups. This infrastructure is designed to allow me to do only two things: 1. Make videos. 2. Build core architecture. Everything else gets handed to the agents. These agents control my computer, execute cron jobs while I sleep, and manage my entire operational pipeline without my involvement. I recorded a video mapping out exactly how I am building this architecture. It includes the 5-agent recursive loop I built to cure AI Context Amnesia over thousands of conversational turns. 𝗪𝗮𝘁𝗰𝗵 "𝗠𝘆 𝗽𝗹𝗮𝗻 𝘁𝗼 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗲 𝟵𝟴% 𝗼𝗳 𝗺𝘆 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝘂𝘀𝗶𝗻𝗴 𝗮𝗻 𝗔𝗥𝗠𝗬 𝗼𝗳 𝗔𝗜 𝗖𝗼𝗿𝗽𝗼𝗿𝗮𝘁𝗲 𝗭𝗢𝗠𝗕𝗜𝗘𝗦." - youtu.be/ak6bGRYm6Uk I am going to document this entire build publicly on the channel. But I am also releasing the actual blueprints, the code, and the safe Claude Code wrapper (Nex) to my private clients. Member of 𝗔𝗜 𝗖𝗹𝗶𝗲𝗻𝘁 𝗙𝗮𝗰𝘁𝗼𝗿𝘆 will receive the technology transfer. Every time I prove a mechanism works reliably, you get to install it in your own business. We are building the infrastructure to break the Process Ceiling together.
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Felix Tay
Felix Tay@FTayAI·
What. Am I a "harness engineer" now?
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Felix Tay
Felix Tay@FTayAI·
𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗮𝗻 𝗔𝗜 𝗖𝗼𝗿𝗽𝗼𝗿𝗮𝘁𝗲 𝗔𝗿𝗺𝘆 I just returned from a workation. The objective was to clear my head and map out the next phase of my operations. I walked away with absolute clarity on my target for December 2026. I am building an AI Corporate Army. This is a structured, governed system of agents capable of automating 98 percent of my business, leaving me to execute only the two percent I actually care about. I will share the exact blueprints for that vision tomorrow. But before we can build at that scale, I have to address the foundations required to manage it, and I want to share with you how I’ve made it happen. The industry tells you to give AI agents full autonomy and let them run your codebase. They are handing you a dull knife and telling you to move fast. A dull knife is dangerous because it slips. If a physical blade lacks precision, it hacks at the material, slides off the edge, and causes a severe accident. An autonomous agent operates with the exact same lack of precision. When an unchecked AI makes one wrong assumption and continues executing, the error compounds rapidly. It bypasses logic gates, ignores context, and creates massive structural damage in moments. You cannot scale an organization using tools that slip. That is why I built a mechanical reliability harness before expanding my operations. It acts as a physical gate that forces the agent to stop, diagnose the environment, and wait for my explicit permission before it cuts. I recorded a breakdown showing exactly how this infrastructure works inside my terminal. Watch the video here: youtu.be/xMqvuJFNm4M
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