Saturday morning, and here I am back in front of the battle station. I am calling my home office the "battle station" to give it a fantasy ring, in my head. I am still in my Qantas pajamas - the battle uniform - that I got when I used to flying to Mozambique every month. Those were great times. I wish I had saved more of these Qantas pajamas!
"I am going to be at home on Saturday night doing client work," Andrea lamented at the end of our Friday marathon marketing blitz.
I want to create a shared office where only approved people (like Andrea) are allowed to work there, so that everyone can help each other and do amazing things together. I think that idea has already been implemented by the folks at Work Club where Matt and Anthony have their offices.
(Wait a minute. Isn't that a bit elitist?)
Two more of the junior lawyers are leaving the law firm in the next week, and so they organised an informal farewell drinks last night at Uncle Ming's in the city (they have a very cool YouTube video on their site, which I only just discovered - I am now rocking out to the music in my battle uniform - what do you call this genre of music - 70s rock? Country rock?).
I miss those guys a lot. I think the big reason I want to create a Work Club environment is so that we could have a big family of work peeps again.
Ian and I went through the current algorithms we are using in VIVA on Friday morning, and we talked a little about our secret weapon - the algorithms that figure out whether any event is going well or not well in real time. That secret weapon won't be live for a little longer - at least not until we have gathered more data for the predictive model. I had been trying to learn Python in my spare time to prepare for when we have gathered enough data - for those who are not into computing, Python is a coding language. It is not the animal, though I could probably learn parseltongue a little faster than the coding language.
This division of labour makes sense - Syed and Hassan take care of the apps, Ian takes care of the server and web side, and I take care of the machine learning coding.