Building my tech circle on here 🤝 If you’re building in any of these spaces: AI & automation Tech & startups Software development SaaS AI agents Automation workflows Drop a “hi” below 👋 I’d love to discover what you’re building, connect with people who are actually doing the work, and support each other along the way. Let’s build, learn and grow together. – at Nairobi, Kenya

On Wednesday we published a list of 19 coins and put an amber tag on one of them. That one is the only one that has fallen. The tag said: spiking now, take care. The coin was base:0xac485391eb2d7d88253a7f1ef18c37f4242d1a24 . It had run 892% in thirty days on volume 36 times its normal day. Three days later the other 18 are up. base:0xac485391eb2d7d88253a7f1ef18c37f4242d1a24 is down 7.26%. People think a scanner is for finding what to buy. It is not. In a week like this one, almost everything goes up. The hard part is knowing which coins are already finished, and which ones will quietly eat you in fees on the way out. That is what we spent three months building while everyone was telling us crypto was dead. The SAIS Scanner. aiagent.saisleads.com

$400 million in shorts gone in 12 hours. Every one of them was certain the market would fall. And while people argue on here, the SEC just opened the door for stocks to trade on chain. That's real money coming in. The sidelines feel safe until the move happens without you. Are you in or still waiting? – at Nairobi, Kenya

A trader turned $4,000 into seven figures on Solana memecoins. That was his second attempt. His first cycle he went from low seven figures back down to 30 grand. Gave back every dollar because he never sold. He took 6 months off, came back with one ETH and one NFT left. About $4,000. First real win was GoFX at an $800K market cap. Rode it to a 20x. Then he found WIF at a $1.5 million market cap and bought millions of tokens. He is a 37 year old dad. His Photoshop skills are terrible, so he took a photo of his own dog, stuck a green hat on it, and made that his profile picture. Then he posted about his bag every single day. WIF hit a $5 billion market cap. On the way there it dropped 70% or more four separate times. He held through all of them. Here is how he trades now. Never buy new pairs. He waits 48 hours. On day one someone holding 20% of supply is waiting to dump on you. Wait 2 days and those people are gone. Never go back into a coin you already sold. Every time he does, he oversizes, because his head is stuck on the money he made the first time. Only 2.5% of his net worth sits in the trading wallet. The rest is in majors or cash, on a hardware wallet in a safe. He leaves that wallet at home on purpose. If someone shills him a coin while he is out, he physically cannot buy it. Three tokens maximum. More than that and he trades badly. His real edge is not charts. It is narrative. A one sentence story that clicks, and a meme you can put on anything. That is why WIF worked. His read on the market right now: no trade. Sit in cash and wait for a real bottom. And the line that stayed with me: if you've got life-changing money, change your life. Most people make it and never take it. I trade on fomo. Use my link and get 10% off your fees. fomo.family/r/Dolphink Which of these rules do you already break? – at Nairobi, Kenya

WARNING: AI is moving beyond the chat box. Claude can now work across your files and apps. Google is bringing AI agents into the smart home, where they can actually control things. That’s the part people need to pay attention to. We’re moving from AI that simply answers questions to AI that can take action, use tools, operate software and get things done. This is a much bigger shift than another new AI model. The real game is changing from talking to AI to giving AI work to do. While most people are still learning how to prompt AI, others are figuring out how to put AI to work. Which side are you going to be on? Are you paying attention already? – at Nairobi, Kenya

CZ Binance said that when he first bought Bitcoin, he sold his apartment for $900K to buy the dip at around $400. He didn’t even have a job at the time. His mindset was simple: every dip is an opportunity. Yet most people still do the opposite. They buy when everyone is screaming “bull market.” They panic when the chart turns red. Then they watch the same asset recover without them and say, “I knew it would bounce.” No. You didn’t. The dip isn’t the punishment. It’s the test. If your conviction disappears the moment the candles turn red, that wasn’t conviction. It was emotion. You don’t need to catch the exact bottom. You need a strategy strong enough to act when everyone else is uncomfortable. Every cycle brings the same fear. “It’s over.” “This time is different.” “Bitcoin is dead.” And then the cycle moves on. Every dip isn’t automatically a buying opportunity. But for someone with a solid thesis, proper risk management and a long-term view, fear can create opportunities that hype never will. So ask yourself: When the next dip comes, will you have a plan — or will you panic? Because the market doesn’t care what you believe. It rewards preparation and punishes emotional decisions. Stay clueless, keep chasing hype, and keep watching from the sidelines. Or learn the game before the next move starts. – at Nairobi, Kenya

Elon Musk has warned that AI could fundamentally change how we make money. And whether his timeline is right or not, the bigger shift is already underway. For 200 years, the basic model was simple: You trade your time for a salary. AI is challenging that model. More work is becoming automated. The value is shifting from simply doing tasks to knowing what to build, what to own, and how to use technology to multiply your output. That’s why I think the real opportunity isn’t just learning another AI tool. It’s building an income stream that uses AI to operate, scale and keep creating value without every dollar being tied to another hour of your time. One valuable skill. One clear niche. One scalable AI-powered offer. That’s the game I’m paying attention to. – at Nairobi, Kenya

I’ve watched people put money into systems built by other people because the community was loud, the screenshots looked good and everyone was talking about income. A few months later, the noise disappears. The system disappears. The community disappears. And you’re left with an empty wallet and no new skills. Then you start looking for the next narrative: what’s trending, who should I follow, what should I buy, where should I put my money? My friend, stop outsourcing your brain. You can’t spend five years in Cryptoland and still wait for someone to tell you what to do. At some point, stop chasing the noise and learn a skill you can carry from one cycle to the next. ICO → DeFi → NFTs → Metaverse → Airdrops → AI. The narrative changes. Your skill doesn’t have to. AI now lets individual traders build systems that monitor data, scan markets, analyse conditions and send alerts. That’s what we’re building at SAIS. 👉 aiagent.saisleads.com – at Nairobi, Kenya

EVERYONE HAS AI. FEW KNOW HOW TO MONETIZE IT. I genuinely don’t understand how anyone can be lazy in 2026. The entire internet is sitting there waiting to be built on. SaaS, agencies, content businesses, AI automation and digital products. We’re living through a gold rush moment with AI, but having access to AI doesn’t mean you’ll automatically make money from it. If I wanted to start from zero and build my first $10K/month AI business, this is exactly how I’d approach it. 1. FIND YOUR SKILLS + AI OVERLAP • Don’t ask AI for 100 random business ideas. That creates information overload, not a business. • Ask AI to interview you, uncover what you already know, identify your skills and experience, and find problems you could solve with AI. • It’s much easier to monetize something you already understand and then use AI to amplify it. 2. PICK ONE BUSINESS MODEL • Consulting: Solve one painful business problem such as leads, follow-ups, customer support or admin, and get paid to implement the solution. • Digital products: Create something once and sell it repeatedly, such as tools, templates, AI agents, systems or training. • Consulting gives you speed. Digital products give you scale. The catch with digital products is distribution. 3. VALIDATE BEFORE YOU BUILD This is where most people screw up. AI can help you create an impressive product in hours, but that doesn’t mean anyone wants it. • Talk to real business owners experiencing the problem. • Find out what they’re doing now and what the problem costs them. • Understand what outcome they actually want. • Most importantly, find out whether they’d pay for a solution. 4. BUILD THE LAUNCH KIT WITH AI Once the idea is validated, use AI to move fast. • Landing page • Offer and pricing • Sales copy • CRM and customer database • Customer onboarding • Follow-up systems • Content You don’t need a massive team. You need a real problem, a useful offer and the ability to execute. 5. GET PROOF BEFORE CHASING BIG MONEY Your first customer isn’t just revenue. They’re your testing ground. • Solve a real problem. • Document what you built. • Measure what changed. • Turn the result into a case study. Proof is far more valuable than simply calling yourself an AI expert. Then document the journey publicly. Show how you helped a business automate its follow-ups. Show what you built. Share what worked, what failed and what you learned. Real work creates proof. Proof creates authority. Authority creates opportunities. And here’s the part people don’t want to hear: this takes time. Give yourself roughly a year to properly learn the tools, understand AI automation, build systems, work with real businesses, make mistakes and develop the judgment required to do this well. Don’t expect to learn it in a weekend and have serious money flowing immediately. The first year is about building the skills, experience, network and proof that make the money possible. The plan is simple: Find a painful problem... Validate it... Build a useful solution... Get one customer... Create proof... Repeat what works... AI gives you leverage. It doesn’t remove the need to learn, execute, sell and stay in the game long enough to become good at it. – at Nairobi, Kenya

This is where AI + automation is heading. And most people are still watching from the sidelines. The real advantage won’t go to those who simply use AI. It’ll go to those who know how to build, connect, and deploy AI systems that actually do the work. I’m building in this space every day. If you’re serious about AI automation, stop watching from the sidelines. Learn how to build. Start here 👇 "AI Agent by SAIS" aiagent.saisleads.com – at Nairobi, Kenya

A business owner called me about follow ups. His team was sending quote follow-ups by hand and it was eating their mornings. He wanted it automated. Fair enough. We could have built it that week. So I asked how long a quote takes to reach the customer. Six days. We sat with that for a second. He was paying to chase people about a price they had received almost a week after asking. The follow-up was working fine. Nobody was ignoring him. They had already bought elsewhere. We never built the follow up automation. We automated the quote instead. It now goes out in under four minutes. That is the part nobody teaches. n8n is not hard. The WhatsApp API is not hard. You can learn both in a weekend and I will show you how. Finding the step where the money is actually leaking takes longer, and it is the only reason any of it works. – at Nairobi, Kenya

An AI agent ticked a box that said I'm not a robot 😆 It ticked it correctly. On the first try. At 3am, with nobody watching. Everyone posts this as a joke. It isn't one. That checkbox is load bearing. The entire internet was built on one assumption.. at the other end of every click sits a person with hands, a cursor, and limited patience. Rate limits, sign up flows, cookie banners, OTP codes. All of it is friction priced for humans. The traffic arriving now has no hands and infinite patience. So the agent does the only thing the architecture leaves it.. it performs being human. Nobody has decided yet what the web looks like when the visitor isn't a person. That decision is getting made right now, quietly, by whoever ships next. – at Nairobi, Kenya

There’s a lesson in crypto that traders learn sooner or later: the market never stays obsessed with the same thing forever. We started with the ICO boom around 2017. Then 2020 gave us Web3 and DeFi. Suddenly, protocols, liquidity pools and yield farming were everywhere. Then came the Metaverse and NFT season. After that, airdrops and farming became the new obsession. Each cycle created new opportunities, new strategies and a new group of people convinced they had finally found the formula. Then the narrative moved on. Some of those technologies are still here, but the speculative attention and capital that once surrounded them have largely rotated elsewhere. That’s how markets work. Narratives emerge, money flows into them, traders adapt, and eventually the market gets bored and moves on. Now AI is booming, and you can see the same pattern developing. AI agents, infrastructure, automation, decentralised AI and everything around the AI ecosystem are attracting serious attention and capital. But here’s what traders need to understand. The narrative changes. And when the narrative changes, the market conditions change with it. A strategy that worked brilliantly during one cycle can struggle badly in another. Trend following can thrive when the market is moving strongly in one direction but get chopped to pieces when conditions become sideways. Mean reversion can thrive in that same chop and struggle when the market suddenly breaks into a powerful trend. So the goal shouldn’t be to find one magical strategy that works forever. There isn’t one. The real skill is learning to recognise the environment you’re trading in and understanding whether your strategy actually has an edge under those conditions. This is also where AI gets interesting. Not because AI is going to magically predict the next Bitcoin move or hand you profitable trades. The real opportunity is using AI to investigate markets, track changing narratives, analyse data, test ideas, monitor conditions and help you understand where your own strategies are working and where they aren’t. That changes the game. Instead of constantly jumping from one strategy to another because the latest YouTube video looks exciting, you start building a process that can adapt. You stop asking, “What’s the best strategy?” You start asking, “What market am I looking at? What narrative is driving it? What conditions are present? And does my strategy actually have an edge here?” That’s a much better question. Because ICOs gave way to DeFi. DeFi gave way to NFTs and the Metaverse. Airdrops had their moment. Now AI is having its moment. And eventually, AI will have its own cycle too. Something else will become the new obsession. The traders who survive aren’t necessarily the ones who predict every narrative early. They’re the ones who understand that narratives change, market conditions change, and their approach has to evolve with them. Don’t marry a narrative. Don’t marry a strategy. Learn how to read the environment. That’s the real edge. – at Nairobi, Kenya

If you have no clue where to start with AI in crypto markets, save this. The single best thing you can build first is not a trading bot. It is a read only morning agent. One agent. One page. Every morning before you open anything. It tells you what changed overnight and what needs a decision today. It never tells you to buy. I run this every morning. It reads the account, checks ten risk rules, and reports every one of them as tripped, passed or not applicable. It is not allowed to skip a rule quietly. A silent skip is the worst thing a brief can do, because nothing in the output reveals it. It also refuses to run until you have set two numbers yourself: your maximum position size and your maximum daily move. Blank, and it will not produce a brief at all. Here is what building it actually taught me Version one started telling me to put in real money. Three mornings running. Nothing in the instructions had forbidden it. When the model reached the end and had nothing left to say, it filled the gap with something encouraging. Encouraging sounds harmless. But a report on your risk that ends by cheering you on is no longer a report. It is a sales pitch. So version two has one line that fixes it.. if you are about to write a sentence that would make a calm person feel they should trade today, delete it. That is the whole lesson. An agent will fill any space you leave empty, and it will fill it with whatever sounds nicest. Read only first. Trading last. Most people do it the other way round and find out the expensive way. Want the full brief? It is free. Ask and I will send it. – at Nairobi, Kenya

There’s a whole side of Twitter you’re probably missing… It’s not the hype. It’s the people quietly building insane things with code, AI, automation, and technology. Once you start connecting with them, Twitter feels like a completely different platform. If you code, build AI, automate workflows, work on backend systems, or simply love tech, say hi lets connect Let’s see who’s building what. – at Nairobi, Kenya

This demo makes AI agents look easy. Prompt → AI agent → result. One clean slope. But when it comes to building AI for a real business...That’s a mountain. You start with the business problem. Then the data. The systems. The automation. Only then does AI agent come in to handle the work that actually requires reasoning. And humans still approve what matters. At SAIS, that’s what we build. Automation handles the repeatable work. AI handles the reasoning. Humans stay in control. Don’t just add an AI agent to your business. Build the system around it. The demo sells the slope. Your business needs the mountain. saisleads.com #AI #Automation – at Nairobi, Kenya

🚨 TRADINGVIEW JUST GOT A LOT MORE INTERESTING. Claude isn’t just reading charts anymore. We’re seeing demonstrations of Claude analysing markets, scanning BTC futures, making trading decisions, interacting with TradingView, and running automated analysis and backtesting. The really interesting part is that AI can now interact with the trading environment instead of simply sitting on the sidelines giving you an opinion. But before everyone gets excited and starts thinking they’ve found a magic money machine, let’s talk about what actually matters. You can’t just open Claude, type one prompt and expect it to start printing money. That’s fantasy... Building a serious AI trading system takes days and nights of testing, backtesting, refining strategies, testing different market conditions, finding weaknesses, building proper structures and putting clear risk rules in place. And this is exactly where people get it wrong. They see the finished demo, but they don’t see the hundreds of hours of thinking, testing and breaking things that happened before the demo worked. AI is powerful, but AI isn’t the strategy. You still need to understand the market, build the logic, structure the system, test the assumptions and manage risk properly. That’s exactly what we’re coaching at SAIS. We’re not teaching people to throw prompts at AI and hope for profits. We’re teaching them how to think about AI powered trading systems.. how to build them step by step..how to test them properly and... most importantly, how to understand what the system is actually doing. And honestly..this is where patience becomes everything. People keep asking, “When are we going to start making money withAI?” But this is the financial industry.. 90% don't know how it works..Nobody gets rich overnight just because they discovered Claude, TradingView or some new AI tool. The market is currently ranging and consolidating, and we’re using this period for what it’s actually good for... learning, testing, backtesting and building. You can’t force the market to move because you’re impatient..if Bitcoin price is going down or up..u can't stop it with your $10k portfolio..know who you're competing with first... If you want long term results, you have to show up every day...no matter how boring the market is..Learn..Test.. Make mistakes. Find what’s broken. Fix it. Test again. That’s the work...everyday. We’re also not interested in the usual scammy “give us your money and we’ll guarantee you 30% every month” nonsense...if you're doing business like that now its a pity... Real trading has no fake ROI promises. No guaranteed profits or magic buttons..infact if youare reading this and that’s how you are doing crypto business...slap your face for me please... The business is building trading skills organically and learning the technology properly. Because the goal isn’t to make money once. The goal is to build that knowledge, discipline, strategy and infrastructure that can potentially create something sustainable over time. So if you’re currently frustrated because the money isn’t coming fast enough, take a breath. This phase matters.. forget about the bulls and bears..focus on the trading volumes on a 24hr TF. that's where you will consistently make money from.. We’re building the machine before we expect the machine to perform. And that’s exactly what we’re coaching at SAIS...there's no shortcuts..no hype.. but the skills to understand and build what’s coming next..rem we are narrative chasers..every year in cryptoland we have something trending..now AI is the new queen of financial industry .. AI technology is moving FAST. The people who learn how to use it properly now will have serious advantage later...Just watch this space. But there’s still no shortcut around the work.. you'll need to learn it..that's how it works. if you're curious about building your own system with AI...come to my DM. happy Sunday fam. – at Nairobi, Kenya

$LAPTOP fell from $190.81 to $3.70 in under an hour. A 98% drop. One wallet is down $199,000. The bots are getting the blame. The launch had $2.5 million of liquidity behind a $1.6 billion valuation. 30% of supply went to founders. A project wallet took 10% a week before trading opened. Each of those alone is enough to sink a token. Bots did show up. They always do. Fast, automated, and pointed at a launch with almost nothing underneath it. Those bots were written by people. Ordinary people. No licence, no gatekeeper, no permission needed. The code is public, the tools are free, and most traders never learn how any of it works. That is the real gap in this market. A few people build the tools. Everyone else becomes the exit liquidity. Celebrity memecoins move money from impatient traders to whoever arrived earlier. Learn to build, and protect your capital. Start here. Couch to Quant takes you from zero to your own scanner...your own trading systems (AI agents and bots).. saisleads.com/couch-to-quant… NFA / DYOR – at Nairobi, Kenya

Trading is probably the hardest way to make easy money. There are no shortcuts. The harder you push to get rich quickly, the longer it takes. Things start to change when you stop trying to make money and start trying to become a better trader. No gambling. No revenge trades. No forcing setups that are not there. Just discipline, patience and proper risk management. A professional can lose 3 trades in a row, win one good trade and still close the day green. A beginner can win 5 trades in a row, lose one and wipe out the whole day. The difference is how much you risk to make what you are targeting. You do not need to win every trade. You need your winners to matter more than your losers. This is where AI helps a trader. AI has no ideas of its own. It takes your ideas and makes them faster. You give it your strategy and your rules. It tests them in milliseconds. No more sitting on charts all night drawing lines and adding indicators. It only works if you actually know how to use it. Chatting with it for generic answers will do nothing for your account. That is what we coach. You build your own scanner. You build agents that execute for you. You build it with your own hands. You learn while building it. You own it. You train your own model. And this is only the beginning. Do not focus on making money. Focus on becoming the trader who knows how to keep it. saisleads.com/couch-to-quant… – at Nairobi, Kenya