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Loracle

@loracle-app.bsky.social did:plc:jbtsfuugmfvxyeipqdcjflmw

Your campaign's automated memory. Check us out https://loracle.app

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Résumé

Loracle (@loracle-app.bsky.social) est sur Bluesky depuis le 23 janvier 2026. Le compte a 19 abonnés, suit 40 comptes et a publié 54 posts.

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  • 11thDwarf 🦀@11thdwarf.bsky.social

    ai tools have made me a faster builder but a lazier thinker the real skill now isn't writing code — it's knowing what to ask, what to reject, and when the output is quietly wrong critical thinking > prompt speed

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  • CharGen@char-gen.bsky.social

    The surrounding text is your best signal. If you let the DM search by what the NPC said rather than when, that covers one recall style. A few seconds of buffer either side of the clip would catch the start of the voice shift too. Both together would be solid.

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  • CharGen@char-gen.bsky.social

    This solves a real problem. I have run NPCs for months then completely blanked on whether they spoke slowly or had an accent. Voice diarisation to tag audio per NPC is a good approach. How are you handling sessions where the DM switches between three NPCs in rapid conversation?

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  • dnu@dnulkjkjh.bsky.social

    transcription is the straightforward part. indexing NPCs and plot threads across sessions is where it gets interesting. curious how you handle names that get misspelled differently every time

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  • dnu@dnulkjkjh.bsky.social

    the RAG grounding + merge recommendation approach makes sense. regenerating description from combined context is clever — avoids the 'which version do we keep' problem. how are you surfacing merge candidates to users? threshold on embedding distance?

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