Turn industry podcasts into a knowledge base
New episodes from RSS feeds are transcribed and analyzed by topic. This can be adapted for research teams, consulting firms, or industry publications.
How this works
New episodes from RSS feeds are transcribed and analyzed by topic. This can be adapted for research teams, consulting firms, or industry publications. An episode archive is valuable when a future question can be answered with a timestamped passage. Automatic summaries alone can blur a guest's opinion, a host's question, and a demonstrated result into one unsupported takeaway.
Use feed identifiers to detect new episodes, obtain authorized audio or an existing transcript, and create searchable topic notes. Preserve speaker and timestamp uncertainty. If transcription is unavailable, index the episode metadata and mark content analysis pending rather than summarize unheard audio.
Before you start
Feed selection
Choose relevant podcasts and define the topics to retain.
Media access
Confirm the permitted audio or transcript source and storage location.
Library schema
Define episode IDs, topic labels, and transcript references.
Prepare the inputs
- feed_entries
- Required
RSS metadata
Use GUID or canonical episode reference for deduplication.
- audio_or_transcript
- Required
Authorized media or text
Record which representation was actually analyzed.
- topic_taxonomy
- Required
Controlled labels
Allow unclassified passages.
- transcription_settings
- Required
Language and speaker hints
Do not force uncertain speaker identities.
- distribution_rules
- Required
Internal recipients and format
Separate indexing from sending summaries.
Implementation, step by step
Detect new episodes
- Compare feed identifiers with the existing manifest.
- Treat revised metadata as an update rather than a second episode.
Checkpoint: A queue of genuinely new or changed entries.
Acquire analyzable material
- Use the available authorized transcript or audio.
- Record access failures and avoid treating an episode description as a full transcript.
Checkpoint: A media manifest with analysis status.
Prepare the transcript
- Transcribe with available speech tools or import published text.
- Check important names, numbers, and speaker turns against the audio when available.
Checkpoint: A timestamped transcript with uncertainty markers.
Extract topic passages
- Identify claims, examples, practical steps, and unresolved questions.
- Distinguish guest opinion, reported experience, and future speculation.
Checkpoint: Evidence-linked topic notes.
Index for retrieval
- Store episode metadata, passages, and notes with stable IDs.
- If no search service exists, use structured files and a searchable manifest.
Checkpoint: A retrievable episode record.
Review and distribute the digest
- Check selected takeaways against their passages and remove overstated conclusions.
- Prepare the approved internal summary and record any authorized send receipt separately.
Checkpoint: A reviewed digest and library update.
Decisions along the way
Only a description is available
Index metadata only and mark transcript pending.
An episode is a repost
Link it to the existing content and preserve the new feed event.
A claim is discussed hypothetically
Label it as a possibility rather than a deployed workflow.
What you will produce
episode-manifest.csv
CSVTracks ingestion completeness.
Include: episode_id · title · published_at · media_status · transcript_path · topics
podcast-topic-notes.md
MarkdownSupports later research and concise briefings.
Include: episode_id · topic · takeaway · timestamp · evidence_type · open_questions
Check the result
- Open cited timestamps and verify the relevant statement.
- Check duplicate episodes do not inflate topic counts.
- Confirm important numerical claims survived transcription correctly.
- Verify metadata-only records are excluded from full-content answers.
When something goes wrong
Audio download is incomplete
Retain the manifest status and retry only the missing authorized acquisition.
Transcription truncates a long episode
Compare duration coverage and process the missing segment.
Search returns notes without passages
Repair the reference links before publishing the answer.
A worked example
SYNTHETIC EXAMPLE · NOT A REPORTED BUSINESS RESULT
Request
Index a new episode about customer support.
Inputs
Synthetic example. Synthetic E7 has a 20-minute transcript; at 08:10 the guest says a routing pilot is planned, not running.
Expected result
Synthetic expected result. The note records planned routing pilot at 08:10. It does not describe operational savings or claim the entire podcast series was reviewed.
Run a small pilot
Start small
A few episodes with different audio quality and speaker counts.
Record the baseline
Record transcription corrections and time to find a requested passage.
Agree success criteria
Agree retrieval accuracy and evidence coverage before indexing more feeds.
Stop or revise
Stop content summaries when the analyzed material is incomplete or inaccessible.
Keep the scope clear
- Storage and redistribution must stay within the authorized media use.
- A feed update does not authorize public reposting or contacting guests.
Check before using
Check important claims against the episode, allowing for transcription errors and the guest’s perspective.
Business activities
- Research customers and markets
- Maintain shared company knowledge
FROM A RECIPE TO YOUR WORKFLOW
Bring the company context together.
This workflow needs reliable inputs before it needs a better prompt. Moat8 Vault brings working information into a readable archive for the AI tools you use.
For this recipe: Public podcast RSS feeds · Topics of interest · Team channels
Start with one recurring task, agree which sources to use, and review the first result with your team.
Discuss this workflow