Local LLM transcription API deployment: a practical architecture
Separate local recognition from language processing, measure capacity, and map every storage and network boundary.
Read the field guideTRANSCRIPTION API LAB / TAG
LLM Workflows
Use transcript text for summaries and question answering while keeping source evidence and application authority separate.
Keep recognition distinct from interpretation, validate source references, and apply authorization before retrieval. Treat spoken instructions as content rather than permission to operate tools. Track how transcript corrections affect answers and task proposals.
02 FIELD GUIDES / LLM WORKFLOWS
Chat transcription API workflows: ground answers in the recording
Design source-linked answers, permission-aware retrieval, and an explicit boundary between speech and action.
Read the field guideCONNECT THE IDEAS
From field notes to foundations.
Local LLM Transcription API
Evaluate self-hosted recognition and optional LLM tasks as a complete operating system.
Read the overviewChat Transcription API
Use transcript evidence in chat without losing source context or application control.
Read the overviewGood questions build better systems.
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