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Lifelogging with Large Language Models | Spirit Tech Collective
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Lifelogging with Large Language Models

Prototype

Personalized podcast based on your journals, finances, sleep

by Jaan
Try the demo ↗

About

The system generates a 15-20min podcast based on journals (from the Obsidian note-taking app), sleep/physiology data (from Oura), and finances (from Plaid). AI-assisted journaling tools currently do not integrate these diverse data sources, and doing so results in higher-quality personalized summarization and feedback.

Why I'm building this

I didn't want to manually reviewing and assess my psychoemotional state by combing through my journals, notes I've edited, finances, and sleep/physiology data each week. This made it a lot easier.

What feedback I'm looking for

Do you have any initial reactions to this? I'd love to hear them! Is this something you would be open to trying? If you are worried about giving up your data to Anthropic/OpenAI, we also implemented a fully open source solution that runs locally :)

Seeking collaborators

Auditing the system and testing it out, to see what other information we could connect to this to evolve the types of feedback and summarization that are possible.

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Themes

AnalyticsJournaling

Discussion

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