Our friends over at Machinechat have developed a custom GPT that helps engineers develop IoT solutions using a combination of SparkFun sensors and Machinechat JEDI.
Our friends over at Machinechat have developed a custom GPT that helps engineers develop IoT solutions using a combination of SparkFun sensors and Machinechat JEDI.
For those who haven't seen this product line before, Machinechat® JEDI One is an all-in-one IoT software application that allows developers and engineers to quickly bundle robust data collection, visualization, monitoring and local storage into any IoT project or proof of concept in minutes. Ideal software solution for quick development of field-ready IoT proof-of-concepts, this product pairs really well with our Qwiic-connect system and products like the DataLogger IoT or OpenLog Artemis by collecting sensor data and visualizing the data on a dashboard really quickly. We offer a number of kits to get you up and running really quickly, or the standalone license if you already have a means of collecting data.
So, the question becomes, what role or advantage does AI give a developer in going from idea to proof of concept? The components described above, plus the addition of our open-source drivers (especially all the new Python and MicroPython drivers we just came out with), allows a custom GPT to pick the right driver and write bug-free code - saving you time on your next IoT project.
MachineChat shows this working on their blog with the prompt, "Show me how to build a greenhouse monitoring system" and has also been shown to work in other contexts as well. See their post below to get all the details!