Transcribe a recorded audio file (meeting / call / voice memo / interview) with the local whisper tool, then summarize the transcript into a readable note with key points, steered by the focus variable. Content-isolated: audio and transcript move as Gateway-gated file refs, never through step values. Preview-first: shows the note and writes nothing; set write_mode to stage to persist it (with a transcript pointer) into data.shared. Source: a local audio path or a data.file ref from another step.

Transcribe a recorded video (screen recording / call recording / webinar): the local ffmpeg tool extracts the audio track, the local whisper tool transcribes it, and the transcript is summarized into a readable note with key points, steered by the focus variable. Content-isolated: media and transcript move as Gateway-gated file refs, never through step values. Preview-first: shows the note and writes nothing; set write_mode to stage to persist it (with audio and transcript pointers) into data.shared. Source: a local video path or a data.file ref (e.g. a Drive download).

Transcribe a recorded audio file (meeting / call / standup) with the local whisper tool, then extract concrete action items and decisions with per-item confidence. Preview-first: shows the extracted items and writes nothing; set write_mode to create to save the confident, titled items as Recued tasks. Content-isolated via Gateway-gated file refs. Source: a local audio path or a data.file ref from another step.

Transcribe a recorded audio file (meeting / call / standup) with the local whisper tool, then extract explicit commitments - who promised what to whom - with direction (inbound: promised to the owner; outbound: the owner promised), optional deadline, counterparty, and per-item confidence. Preview-first: shows the commitments and writes nothing; set write_mode to create to save the confident ones to Recued's commitment tracker. Content-isolated via Gateway-gated file refs. Source: a local audio path or a data.file ref.

Watch a Google Drive folder for new audio or video recordings and stage a transcript + summary note for each. Polls the folder via the gdrive file.list operation, picks the newest media file (audio/* or video/*), downloads its bytes straight into the warehouse CAS as a Gateway-gated data.file (file.download surfaces result.file_ref, so the bytes never flow through op-step values). A video is run through the local ffmpeg tool first to extract a compact audio track; an audio file goes straight to the local whisper tool, which transcribes it into plain text captured as a second data.file ref; core-ai-summarize reads that transcript via the ref (a document content part, so it needs a document-capable model) and returns a short summary plus key points, steered by the focus variable. The media bytes and the transcript text never flow through op-step values. Preview-first: by default it shows the summary and writes nothing; set write_mode to stage to persist a durable staged note (summary, key points, and pointers to the extracted audio and the transcript files) into data.shared for later review. A per-run context guard skips re-processing the same newest file across polls. This is the Drive-folder source lane for the media-transcribe toolkit; the manual single-file lanes are transcribe-audio-to-notes and transcribe-video-to-notes.