Suggest edit — universal data capturer

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---
status: raw
tags:
- ai
- memory
- data
title: universal data capturer
type: idea
updated: 2026-04-11
visibility: public
---

# universal data capturer

an unstructured data logger that accepts anything — text, voice, images, sensor readings, location, whatever you throw at it — and uses an LLM to generate dynamic schemas on the fly rather than requiring you to pick a category or fill a form. the problem with most logging tools is they impose structure upfront: here's a field for "mood," here's one for "food eaten," here's one for "notes." the structure forces you to fit your life into its buckets. universal data capturer inverts this: log freely, and let the system figure out what you're tracking and how to structure it. over time, the schema adapts to your actual behavior — if you keep mentioning sleep quality, it starts tracking that specifically.

the technical core is an LLM that ingests each new entry, compares it to what's been logged before, and decides: does this fit an existing schema? should I update the schema? is this a new category entirely? this is surprisingly tractable with a modern LLM — the hard part is making the schema evolution feel stable rather than constantly shifting. the user-facing value is that it lowers the activation energy for logging to near zero: just dump whatever is on your mind, and the system handles the rest. the data becomes queryable and analyzable later because the schema inference has done the structuring work.