I had Claude Code with Fable create a small scrollytelling map for my 14-minute walk experience at Bagmane Capital in Bangalore.
I used this as an opportunity to explore the current status of the technology. ChatGPT suggested:
None of these fit my requirements, which was:
Based on its recommendations, my workflow was:
I created the MyMaps routes...
... exported layers as KML files, and meta-prompted Codex with my story written in this form:
I was staying at [The Curzon Court, Brigade Road](https://maps.app.goo.gl/ArHn75eAihHzZXcr9). 12.97454856819103, 77.60788450296555
I needed to be at [Microsoft Luxor North Tower](https://maps.app.goo.gl/Tf5qZGwXogetSJr46) 12.984402817080221, 77.70407412470264
for a 2 pm [workshop](https://hasgeek.com/fifthelephant/when-data-is-for-agents-workshop/).
So I came over to [Seetharampalya Metro Station](https://maps.app.goo.gl/Z4deFUzZsqamcCZC9) 12.98116461318051, 77.70872373073122
and seated myself at [Fairfield by Marriott](https://maps.app.goo.gl/NJqUfFnHL4QW8xa2A) 12.981961760138114, 77.70869689674738
by 11 am.
...
... and also attached a series of .kml files for the routes. The generated prompt had some nice suggestions, such as:
But one interesting idea I didn't explore was to "Have the coding agent add an authoring mode", specifically:
In authoring mode:
[longitude, latitude].C copies the current camera.P creates a placemark.B creates a fit-to-bounds instruction.This is a great idea - fairly easy to implement, meaning that I can even do away with map authoring software in the future.
AI agents write software, but also know what software features are useful. That makes taste more niche (i.e. I'll use / buy your software if I already know and totally align with your taste, but otherwise, I'll mix-and-match and build my own.)