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Show HN: Claude Code prompts to turn voice AI exports to a personal knowledge

1 points by joozio 9mo ago

After my Limitless Pendant got banned in the EU, I had 30 days to export 6 months of voice data before deletion. The irony: the device promised "AI memory" but couldn't actually use most of it—LLM context windows cap out around 200k tokens, and my transcripts were millions. So I built a local workflow with Claude Code to extract actual value: structured knowledge base, meeting summaries, and a CLAUDE.md file (portable context for any AI assistant). Sharing the prompts so others can do this with their own voice AI exports. Works with Omi, Plaud, or any transcript dump.

joozio 9mo ago
I wore a Limitless Pendant for 6 months, recording ~10GB of conversations. Then it got banned in the EU and I had 30 days to export before deletion. The irony: the device promised "AI that remembers everything" but couldn't actually use most of my data. LLM context windows max out around 200k tokens. 6 months of transcripts = millions of tokens. The "AI memory" was just summarization of recent conversations. So I built a local workflow with Claude Code to actually make use of the data: 1. Parse and structure transcripts by date/topic 2. Extract decisions, action items, and key insights 3. Build a searchable knowledge base with cross-references 4. Generate a CLAUDE.md file - portable context I can give any AI assistant The CLAUDE.md concept is the most useful part. It's a structured file describing who I am, how I work, my preferences, ongoing projects. Now any AI I use can read it and have context about me without needing my entire conversation history. I wrote up the full prompts so others can do this with their own voice data (works with Omi, Plaud, or any export). The bigger realization: these devices are architecturally limited until we get either infinite context or good local-first AI. Happy to answer questions about the workflow or the technical limitations I hit.

1 points by joozio 9mo ago

joozio 9mo ago

I wore a Limitless Pendant for 6 months, recording ~10GB of conversations. Then it got banned in the EU and I had 30 days to export before deletion. The irony: the device promised "AI that remembers everything" but couldn't actually use most of my data. LLM context windows max out around 200k tokens. 6 months of transcripts = millions of tokens. The "AI memory" was just summarization of recent conversations. So I built a local workflow with Claude Code to actually make use of the data: 1. Parse and structure transcripts by date/topic 2. Extract decisions, action items, and key insights 3. Build a searchable knowledge base with cross-references 4. Generate a CLAUDE.md file - portable context I can give any AI assistant The CLAUDE.md concept is the most useful part. It's a structured file describing who I am, how I work, my preferences, ongoing projects. Now any AI I use can read it and have context about me without needing my entire conversation history. I wrote up the full prompts so others can do this with their own voice data (works with Omi, Plaud, or any export). The bigger realization: these devices are architecturally limited until we get either infinite context or good local-first AI. Happy to answer questions about the workflow or the technical limitations I hit.