What is Perc? A Way To Outsmart Robots

What is Perc? A Way To Outsmart Robots

What is Perc? A Way To Outsmart Robots 1920 800 Raymond Blyd

This might sound crazy but what if we could outsmart robots?

We depend on them for a majority of our daily tasks and it is increasingly harder to make decisions without the assistance of an algorithm. Meanwhile, machines are learning at a faster pace and making most of our skills obsolete. But robots have weaknesses, and if we want to stay ahead we will need to exploit them.


One of the good traits of the legal profession is its demand of Continued Legal Education (CLE). Many countries have a similar system in place to assure legal professionals are qualified to perform their duties. While the current CLE requirements are skewed towards traditional skills, the premise is sound: you need to keep training to stay fit. The survival of any professional will ultimately depend on their ability to adapt and learn…continuously.

There are Two parts to training: first is the type of skill and second is the effort involve to acquire it. Once you join the workforce, your freedom to learn evaporates. Simply because your time gets limited. Training resources are growing in abundance and getting cheaper all the time. Some offer clever ways to help you learn complicated stuff by first assessing your level. I believe this is key: Measurement precedes any Improvement.

Basically, there are Three types of skills actively being solicited: Hard skills, Soft skills and Vapor skills. The first 2 are measurable with numerous tests like teasers, IQ, personality etc. I suspect vapor skills are a bit trickier to capture and measure because we so little understand these skills. Yet they are the most valuable skills according to the brightest minds. Albert Einstein called it: the father of new knowledge and Steve Jobs encourage everyone to follow it above all else. I’m talking about Intuition.


The past 2 years I have been quietly tinkering on this thing called: Perc. Perc started as legal technology but quickly evolved into something else. I started with studying quantitive and qualitative characteristics and designing companion visualizations. While exploring these graphs, I stumbled on something: not only could I measure and display knowledge, experience, and personality based on data, I could also use metrics to capture my intuition. And when I became aware of it, it increased my confidence in trusting my intuition.

While MIT claims it can beat human intuition with big data analysis, some believe humans beat robots by handling big decisions with little data. With Perc I intend to prove it could also boost your intuition.


Perc is a project to create an iOS app with a companion watch app which helps to educate the user and spread acquired knowledge with everyone. I feel I have a few good years left before my skills and my entire profession become obsolete. That’s why I like to put them to some good use and create Perc to help us stay ahead of robots.

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