Over the course of time, I have dealt with more than 20 lobsters 🦞, and here are a few insights: 1. It has always been the case that each individual agent of a claw focuses solely on one specific task without confusion, allowing it to concentrate intensely, think and output at a consistently high quality, and produce results that amaze and impress us; 2. It has always been the case that no skills are casually adopted; whatever functionality is needed, we strive to have our lobsters learn and generate skills that suit our needs; because the goals are focused, they are exceptionally smart and execute tasks effectively; 3. It has always been the case that each Openclaw is nurtured for a specific purpose, with clear objectives and straightforward demands, and what is accomplished is always significantly better than what a human could do; otherwise, there's no point in wasting time; 4. It has always been the case that if an agent can run in the cloud, it should never run locally; if it can run on Windows, it should not run on Mac; if one can install the Openclaw open-source version, there’s no need to use a pre-packaged, stripped-down, or limited version from a platform, because it’s reliable and durable, easy to manage, and capabilities differ; 5. It has always been the case that if you can use Claude, you shouldn't use OpenAI/Gemini; if you can use a closed-source large model, you shouldn't use an open-source large model; if you have a PhD student interning with you, why would you still use an undergraduate; 6. It has always been the case that where you can spend a bit more money (Claude Max), you should never skimp; what you need is to use the best tools in the world, to experience and understand the future work models and productivity at the first opportunity, and to foresee what others foresee, rather than saving a few meals' worth of money. #openclaw #intelligent_agent #clawbot #lobster