One recording in. A dozen finished products out.

Community organizations record everything and publish almost nothing — because turning a one-hour talk into usable material is a part-time job. The team estimates the manual version of this work at 15 to 25 hours per recording: transcribing, correcting, summarizing, cutting clips, subtitling, designing graphics, uploading, announcing. So most recordings go up raw, and most of their value evaporates.

What we built. A pipeline that takes one link — or notices, on its own, that a live stream has started — and produces the finished set: a corrected transcript, a summary, key takeaways, study notes, clip candidates found by scanning the delivery for its most compelling moments, subtitles, a quiz, and designed infographics. A human reviews in an editorial portal; nothing publishes itself. The output lands in a branded, installable community app — each organization gets its own, with its own colors, events, announcements, and a searchable library where members can find a passage by meaning, not just by title.

The part nobody else has: audio intelligence. Real-world recordings are hard — echoing halls, distant microphones, four languages, many speakers. Before transcription, every recording gets a 25-dimension acoustic profile that predicts the optimal processing settings for that specific file instead of applying one-size-fits-all defaults. Clean audio takes the fast, cheap path; difficult audio is routed through neural enhancement measured at a 5–7 dB clarity gain for under 4% processing overhead. Multi-pass transcription then reconciles disagreements between passes, and content-aware routing decides which segments deserve expensive AI attention — on an 885-segment test recording, that cut post-processing cost by 93% while preserving every flagged critical segment.

Live-stream awareness. When an organization goes live, the platform notices within moments — a push subscription renewed automatically, watched by a scheduled monitor, with a fallback check so a silent failure can’t mean a missed broadcast — and members’ phones light up.

Built like infrastructure. An asynchronous job queue with dead-letter handling for failures, duplicate detection with a human decision window, A/B testing built into the configuration, an admin portal for operators, and per-organization theming. Fifteen months of continuous operation; 221 transcripts and 210 designed graphics produced to date; two organizations live.

What this proves. The content pipeline is subject-agnostic: lectures, trainings, council meetings, webinars. If your organization has a backlog of recordings and no media team, this is the machine that clears it.