Build a Full Stack Development Kit
With just a Google account, I leveraged existing, mostly free web services and technologies to stitch together a complex importing and analysis process with over 50 distinct steps.
This process incorporates automatic, seamless handoffs and generates formatted story entries that are immediately accessible online.
Simplify Automation
Powerful Automation Settings
The online services I selected provide a robust feature set when combined with the flexibility of Make.com automation, allowing layers of data processing to be built into each workflow.
Flexible Audio Analysis Workflow
The analysis of the story transcript can be run and later re-run with different criteria, providing ongoing flexibility for transcripts to be re-analyzed from different angles with little effort or cost to scale.
Add to the Story Archive
My custom GPT, Swift Interview, helps anyone develop insightful question-sets built around any topic of interest and capture meaningful stories with deeper context.
Share Stories with Context
Years cited in stories are contextualized with select data, offering users a richer understanding of the story’s time period.
Major World Events
The news events that defined the year
Sports Highlights
Championships, record breakers, and special events like the Olympics
Political Landscape
US President and other notable political leaders
Arts & Pop Culture
Award winners and chart toppers in movies, books, and plays
Financial Conditions
The price of goods and macroeconomic climate
Pivotal Moments
Events that shaped society and our culture
Next Step: iOS
After using this prototype to parse my own story recordings, I was inspired to patent the analysis process.
I’m now exploring the feasibility of using ChatGPT and Apple Intelligence to move the concept from functional prototype to native iOS app.