My Week #219 - Life with an assistant
Automation is the future that has already come
I set up my personal assistant with OpenClaw a week ago. After the first week, I can already see that, on the one hand, this is not a revolution—but on the other, it clearly points toward the future. It finally enables building human-like automations without strict rules or the need for sophisticated software to gather structured inputs. Now, with LLMs, we can provide inputs in a very flexible form, and the system can generate outputs based on that input and its context.
To give an example—my health assistant asks me every day about the meals I ate the previous day. I simply type them in whatever format is convenient for me. Based on this, it analyzes the data and provides feedback. It’s like having a personal diet assistant.
As another example, I have an assistant responsible for real estate research. We want to build a house, so the first step is buying a plot of land. Previously, I would scan listings manually or rely on basic notification systems, often missing good opportunities. Now, my assistant performs searches daily and returns with a report.
These are just two basic examples, but they clearly show the direction:
- find a task you perform on a regular basis
- check if you can automate it
- create a dedicated assistant to handle this task
- test the initial results and refine it over the first few iterations
- let it run and focus only on the outputs
I have plenty of other tasks that could potentially be automated, but I’m cautious about granting access to sensitive data. Because of this, my automation won’t go beyond a certain point—but I’m fine with that.
Summary
✅ Continue physical training
✅ Continue setting up OpenClaw
Plan for week #220
💻 Start building the new mobile app
💪 Continue physical training
Complete the counstruction of fence
Weekly reminder
🏆 Completed marathon
🥈 Released game remaster
