The system behind the stories
A wider reach for every episode.
Galang AI developed and maintains the AI-powered digital media system behind Wisdom from the Aerial View. It turns each conversation into a clear, searchable, distributable resource while keeping editorial responsibility with people.
What is Galang AI?
Technology shaped around the work, not the other way around.
Galang AI is the technology partner that designed the podcast's current web publishing system and continues to support it. For Aerial View, that means connecting website development, episode publishing, transcripts, and search-ready structure in one maintainable workflow.
The role of AI here is practical: it assists with organizing source material and repetitive production work. It does not replace the hosts' expertise, invent an editorial point of view, or remove the need for human review.
The Monday publishing path
From source material to a useful public record.
The automated Monday workflow reduces repetitive handling while preserving an editorial checkpoint before publication.
Source
Episode material arrives
Source and transcript material provide the factual foundation for each release.
Assist
AI helps organize the episode
The workflow creates draft summaries, key topics, transcript structure, and search metadata.
Review
People remain responsible
AI-assisted material supports publishing; editorial judgment and final responsibility stay human.
Publish
One maintainable episode record
Listeners get a dedicated page, searchable transcript, listening links, and structured context.
Why it matters
A conversation can be heard once—or remain useful whenever someone needs its perspective.
Dr. Mark Klein and Enid Borden's expertise becomes easier to find and share.
Dedicated pages and searchable transcripts let listeners revisit a thought, quote, or topic without scrubbing through an entire recording. Structured episode information also gives search and answer systems clearer context for discovering the podcast.
For the publishing team, the same system reduces manual assembly work and keeps the growing media library consistent and maintainable. These are capabilities of the system—not a promise of rankings, audience growth, or automated editorial accuracy.
Supported now
One foundation for the site and its growing archive.
- Ongoing website development and maintenance
- Dedicated, maintainable episode pages
- AI-assisted summaries and key-topic organization
- Searchable transcripts for listeners and researchers
- Structured metadata that helps search systems understand each episode
- A recurring Monday publishing workflow that reduces repetitive production steps
A measured next horizon
Improve what proves useful.
Future work can deepen topic pathways across episodes, refine the editorial review loop, and connect publishing decisions to privacy- conscious audience signals. Any expansion should begin with a clear listener or editorial need—not automation for its own sake.
Useful measures could include publishing turnaround time, transcript engagement, on-site searches, episode-page discovery, and which topics lead people to listen. Those signals can guide the next investment without turning a thoughtful media project into a volume machine.