This week we did our first AI-assisted 6 Hats exercise with 6 Hats Helper.
It was way more fun than doing it alone. The helper was well-behaved, and in a few cases stated the “obvious” perspectives right away, so the team didn’t need to spend time naming them. At the end, it summarized everything for us to copy/paste as meeting notes.
6 Hats is a major decision-accelerator on its own, even more so when powered by AI.
Today I had an “Oh That’s Why It’s So Hard” moment courtesy of NIST, US taxpayers, and the Constitution.
The short version of the story is that it is a pain in the ass to print on LCD resin 3D printers, and there are all these inconsistencies that arise even when you specifically “tool match” a DLP printer to have the same specs (wavelength, power density, temp, etc).
Today I found out that I’m not the only one with this problem. In fact, it’s a big enough problem that NIST decided to investigate.
I’m sure we’ll write something more in depth on the polySpectra website about this.
SuperAgent has recently introduced a new feature that’s worth exploring: Custom Tools. This feature allows you to create your own tools within SuperAgent, opening up a world of possibilities for data manipulation and visualization. (and literally anything you can write a function for…)
One tool that caught my attention is the graph tool. It’s a powerful addition that allows you to visualize data in a more intuitive and insightful way.
A great example of this in action is the Super Stocks project. It uses the graph tool to visualize stock market data, making it easier to spot trends and patterns.
In my ongoing journey with AI, I’ve been experimenting with a new approach: dictating directly to AI. This method eliminates the need for additional prompting, allowing me to simply paste the transcript straight into ChatGPT.
This approach has several advantages. It’s faster, as it cuts out the middle step of typing out my thoughts. It’s also more natural, as I can speak my thoughts out loud as they come to me. I’ve been playing with “function words” like “todo” and “end”. It’s amazing how well it catches onto the re-formatting. Just don’t ask for a summary.
Despite these challenges, I’ve found the process to be incredibly rewarding. It’s opened up a new way of interacting with AI, one that feels more natural and intuitive. It’s also made me more aware of how I formulate my thoughts and express them, which has been an interesting exercise in self-awareness.
Soon, I will look like this at work.
For more on my journey with AI and related topics, check out these posts:
I recently came across Tavily, an AI-powered platform that aims to revolutionize the way we conduct research. Tavily automates the research process, promising to deliver comprehensive, accurate, and credible research results in a matter of seconds.
Tavily’s approach to research is quite impressive. You simply share what you want to research, and Tavily starts gathering information from multiple online trusted sources. It then organizes the information and provides you with a comprehensive research report within minutes. This process not only saves time but also ensures that you get the most accurate and credible information.
One of the things that caught my attention about Tavily is its flexibility. It can conduct any kind of research, regardless of the subject matter or niche. It isn’t perfect but it is dangerously good. And the team is amazing and super helpful.