OpenClaw Ultron Replaces 20 Humans at LAUNCH Incubator

📝 How OpenClaw Ultron is Replacing 20 Humans at LAUNCH @Jason is ALL IN on OpenClaw. We've given the AI virtual assistant the keys to just about EVERY system here at @LAUNCH and @twistartups. That means email, calendars, @SlackHQ, @NotionHQ, databases, and more. AI job displacement is no longer theoretical. It's here! On TWiST, Jason, @Lons, @OliverKorzen, and @AlexOCheema of @EXOLabs pulled back the curtain on "OpenClaw Ultron." How we built it. What it can do. And how much of our work it's already tackling all by itself. 📺 Watch the full episode WHAT IS OPENCLAW ULTRON? Lots of AI agents, and even some advanced chatbots, can perform basic tasks, particularly if you carefully write them prompts and detailed instructions. But our @OpenClaw Ultron system operates across LAUNCH's entire tech stack, giving it a more detailed and nuanced understanding of our business and all of our many processes and systems. Which in turn makes it far more powerful, intuitive, and capable of a broader range of tasks. Currently, we have OpenClaw agents (aka Replicants)... ✋Managing team attendance 🎙️Booking the podcast (including Alex's appearance!) 🗓️Supervising everyone's calendars 🧑‍💻Coding its own dashboard ⁉️Keeping an eye out for human errors And we're just getting started! THE MAGIC OF SELF-OPTIMIZATION Just having Replicants take over our jobs was Phase 1. For Phase 2, we need to be able to monitor the Replicants' work and make sure they're not messing everything up! Watching them work also helps us gain an understanding for how they're approaching these tasks, and new ways of writing instructions or guidelines that can improve their work quality and efficiency. So LAUNCH's Oliver and @LukasDurand8 designed a self-optimizing skill for OpenClaw. This is what's known as a "cron job," developer-speak for a time-based process that's run automatically at pre-set intervals. (Cron as in "chronological," get it?) Early each morning, Monday through Friday, before our human staff begins their work, a Replicant looks over all of our files and active OpenClaw skills, and ponders what processes could be upgraded, changed, or improved. For example, Oliver noted that a Replicant discovered a bug relating to time zone changes in our TWiST guest calendar -- it was getting Central Standard Time and Central Daylight Time confused. After getting a thumbs up from a supervisor, the Replicant went in and fixed the error. For now, a Replicant can only make suggestions under direct human supervision. But one day soon, it could theoretically improve and upgrade its own performance with zero human intervention. THINK OF A REPLICANT AS A NEW EMPLOYEE You wouldn't bring in a recent college grad for their first day of work and give them a ton of high-level responsibilities on Day 1, and you wouldn't just dump a thousand page corporate manual on their desk and expect them to figure it all out on their own. While some online tutorials make the entire process look instantaneous -- simply set up OpenClaw and then your bots take care of the rest -- in practice, it helps to keep a human in the loop at first, providing helpful suggestions and tweaks to the prompts. Just like a new hire, an OpenClaw Replicant requires careful training and instruction before it can operate seamlessly on its own. Some of its initial output might be inconsistent or lower-quality, but over time, it will improve. (Plus you don't have to treat it to coffee and snacks!) BUT WHAT ABOUT THE COST? Yes. There are some major expenses, specifically in terms of token use, that come with running OpenClaw. A lot of the power of the system comes from combining different AI models, but this can also lead to cascading inference costs that add up quickly. Let's break it down a bit further: OpenClaw relies on two different kinds of inference infrastructure: "prefill" materials like Notion databases, Google Docs, and emails, which our Replicants must consult first in order to produce their responses. Then there's the "decode stage," when the bots use this data and knowledge to generate original results. Significantly, the decode stage is powered by MEMORY, not compute. It's moving data around, rather than relying on raw processing power. This means there's hope on the horizon! As Alex Cheema explained on TWiST, OpenClaw processes are particularly decode-heavy, especially as today's software gets better at caching during the prefill stage. OpenClaw doesn't have to reprocess everything from scratch for every new query. And because decode processes rely on memory, not compute, and consumer-grade hardware (like Apple's upcoming M5) keeps getting increased memory bandwidth and capacity with each fresh release, it's already possible to run OpenClaw workloads locally while avoiding per-token cloud costs entirely. Two Mac Studios will save LAUNCH significantly on our cloud inference bill. WATCH OUT FOR PROMPT INJECTIONS! Finally, a brief word of caution: OpenClaw remains highly vulnerable to a specific kind of attack known as "prompt injection." This is when an attacker embeds malicious instructions within AI inputs, essentially "tricking" a bot into leaking data, generating false information, or other malicious actions. This becomes particularly significant when teams start installing OpenClaw "skills" found around the internet (from aggregators like ClawHub) into their own systems. Security experts have already detected malicious code in a number of popular skills that have been uploaded to ClawHub's system. OpenClaw has taken formal steps to monitor ClawHub and other skill marketplaces for bad actors, but it's still best to exercise extreme caution out there when downloading fresh skills, particularly if your Replicants have been given access to your personal accounts (like email and calendars). EMBRACE THE FUTURE As Jason has said repeatedly on TWiST, employees who have an understanding of how to work with OpenClaw and train their own Replicants have an enormous leg up over everyone else in the job market. Enlisting your own OpenClaw Ultron to help complete your work makes you as valuable as 20 or more humans at once. The time to start learning how to use these tools is RIGHT NOW. http://x.com/i/article/20212809216225566…