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LatchLoop

Build Deepgram agents for transcription quality and archival

Turn speech-processing output into a correction queue with timestamps, speaker issues, and traceable source audio.

Example outcome

Produce a targeted transcript correction queue.

Agent examples

Workflow guides for Deepgram

2 guides

Review the passages that need a human ear

Deepgram can provide transcription, timestamps, speaker or channel information, and confidence-related context for an audio workflow. An agent can inspect the result for missing sections, speaker confusion, terminology errors, and passages that deserve replay.

Give it the recording purpose, language, expected speakers, vocabulary, and output requirements. The agent should cite timestamps and avoid reconstructing unclear speech from context alone.

Archive the reviewed result in Google Drive

Deepgram supplies the speech-processing result. Google Drive supplies the source recording, reviewed transcript, access model, and durable folder structure. The combined workflow names files consistently, links transcript to audio, and keeps draft machine output separate from the approved transcript. Uploads, moves, and sharing changes remain reviewed actions.

Combine plugins

Build richer agents by pairing Deepgram with complementary context

Outcome pages can describe combinations: one plugin for source context, another for project tracking, and another for delivery or notifications. Use Deepgram as one layer in a larger agent workflow when the outcome needs more than one connected app.

Available plugin capabilities

searchDocsdeepgram-developer-docs
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