Rusk | AI Strategy & Web3 Architecture

We run in loops. It's the brain's way of being lazy & efficient These repeating patterns can work for us or keep us trapped Easiest way to break it... Do something wild & crazy Get outside of your comfort zone. Do new things - make your brain work & your soul sing

This 👇 Not only is it a great story that anyone can succeed with AI, but I love the power couple dynamic Congrats on finding someone to build with @sobedominik

The modern workweek may be one of the biggest psychological experiments in history. Humans were built for sunlight, movement, rest, community and natural rhythms instead of being placed under artificial lights, deadlines, alarms and endless notifications. And we normalized it. Now millions go to bed afraid of Mondays waking up tired and calling it adulthood. We numb fatigue with caffeine, stress with productivity and burnout with “just make it to Friday.” We spend 5 days surviving for 2 days of recovery. Not living, just “recovering”. The system’s greatest achievement wasn’t making people work this much but it was convincing them this is what life is supposed to be.

Most people quit because they forget that you have to be bad at something before you can be good at it. It's so obvious. You suck. Of course you're not going to win in 2 weeks. But if you can learn to enjoy extended periods of failure, you will make it very, very far in life.

🚨 BREAKING: A new role is quietly emerging and it’s about to dominate the next 5 years. It’s not “AI engineer.” It’s not “prompt engineer.” It’s the Agent Operator. And it will sit inside almost every organization. Most people are still thinking about AI as a tool. That framing is already outdated. What’s actually happening is a shift from: humans using software to humans managing autonomous agents that execute work This is a fundamental redesign of how work gets done. So what is an Agent Operator? An Agent Operator is the person who: • Designs how agents interact with real workflows • Connects tools, data, and systems into agent pipelines • Translates business problems into executable agent behavior • Monitors, corrects, and improves agent performance over time They don’t just “use AI.” They orchestrate outcomes. and this matter because Every function marketing, legal, finance, biotech is becoming “agent-compatible.” Not because companies want it. Because they won’t have a choice. Agents can: • Run research loops • Execute multi-step workflows • Integrate across tools without APIs breaking the flow • Operate 24/7 at near-zero marginal cost The bottleneck is no longer capability. It’s implementation inside real-world systems. Required skills for AI Agent Operator role: → MCPs (Model Context Protocols) Understanding how agents access tools, memory, and structured context. → CLIs (Command Line Interfaces) Because serious agent workflows won’t live in GUIs—they’ll run in programmable environments. → Writing skills (the file kind) Clear specs, instructions, and structured documents. Agents run on precision, not vibes. → agents dot md fluency The ability to define agent roles, constraints, memory, and tool usage in persistent formats. → Business acumen Knowing what actually matters: Where automation creates leverage, not noise. What happens next Enterprises will begin to redesign workflows: Not around employees using dashboards… But around agents executing tasks. That means: • SOPs → Agent playbooks • Teams → Human + agent hybrids • Tools → Composable agent systems When that shift happens, companies won’t just need engineers. They’ll need operators who understand both the system and the business. The leverage is asymmetric One strong Agent Operator can: • Replace fragmented SaaS workflows • Multiply team output without adding headcount • Turn ideas into execution systems in days This is not incremental productivity. It’s operational transformation.

I was in a space today and I heard Gen Z discussing why Space does not exist. They argued that Artemis, the Moon, and everything in space was a lie for the rich to print and steal money. Most dismissed it, and rightfully so But it does lead to a real question that we should ask How do we regain Gen Z's trust back? And should we? The system is broken. Fraud, deceit, control, manipulation - it's on all sides The top 10% own 90% of the wealth and power Maybe they're right to question everything And maybe they'll actual do something about it Gen Z might actually be the smartest of all

Jack lays out the reason AI will restructure companies, and it's not why you think...

@OverlordEins I'm looking fwd to it

I haven't posted in a while, but there's a good reason for that. I've been studying and writing an article that will be my magnum opus — everything I've learned so far, compiled into one big post. It covers all the core concepts, each one building on top of the last, coming together like a puzzle. The goal is for it to become the single reference point that ties everything else together. I'm about 20% done, so it'll take more time. I want this to become the best post I've put out. Stay tuned. 👀

@MarioNawfal Unfortunately the system has been broken for some time

🇺🇸 A teen convicted 50+ years for shooting a 5-year-old girl during a gang initiation is living his best life behind bars. If this is what accountability looks like, the system has a serious problem.

@MarioNawfal Gives a whole new meaning to taking a trip

🇨🇳 China installed laser beams on highways to stop drivers falling asleep. Red, green, and blue lights projected from overhead structures designed to keep you awake without blinding. Road safety on another level.

I have to say this interview changed my life. Hearing how Boris thinks about software spurred me to work much harder on releasing my own way of doing things and on iterating fast on how I build. Hard to believe it has only been a month since this one.

ClawCon Austin x.com/i/broadcasts/1…

Real ones aren’t speed-running a course. They’re the degenerates who’ve spent 18 months breaking live revenue systems, watching clients bleed money from bad agent handoffs, then rebuilding 10× better. Agree that you can get lost in the noise, but you gain invaluable experience going down the rabbit holes

Deploy OpenClaw on DigitalOcean & you'll be running your own agents & sub agents in minutes with one click setup! Get $200 in cloud credits from @DigitalOcean using my link: m.do.co/t/24df9ded3a72

"Meta recently added a new PM interview, the first major change to its PM loop in over five years. It’s called 'Product Sense with AI,' and candidates are asked to work through a product problem with the help of AI, in real time. In this interview, candidates aren’t judged on clever prompts, model trivia, or even flashy demos. They are evaluated on how they work with uncertainty: how they notice when the model is guessing, ask the right follow-up questions, and make clear product decisions despite imperfect information. That shift reflects something bigger. AI product sense—understanding what a model can do and where it fails, and working within those constraints to build a product that people love—is becoming the new core skill of product management. In today's 🔥 guest piece by @marilynika, you'll learn three powerful weekly rituals that'll build your AI product sense: 1. Mapping the failure modes 2. Defining the minimum viable quality (MVQ) 3. Designing guardrails where behavior breaks Don't miss this one: lennysnewsletter.com/p/building-ai-…

@rork Just came across your post. I would love to try it out on a few ideas

Claude Opus 4.6 is now live in Rork It plans more carefully, sustains tasks for longer, operates reliably in massive projects, and catches its own mistakes. Rork Max, our biggest update ever, now builds mobile apps that you didn't think were possible, powered by Claude Code & Opus 4.6. Reply to get early access to Rork Max

👇 If you're considering college, think twice Unless you plan on being a Dr, Lawyer, engineer... Most careers you can learn on the job or on your own And you can then take the savings and invest vs 4 yrs of debt Starting a business is another topic & worth discussing too

Many data analysts start out by querying on Dune right away. Instead, they should first learn to break down transactions, traces, and logs on any block explorer. I've put together a new comprehensive guide for that! Let's start by understanding the transaction tab: