diff --git a/backlog/tasks/ml-144 - Implement-magazine-issue-ingestion-pipeline.md b/backlog/tasks/ml-144 - Implement-magazine-issue-ingestion-pipeline.md
new file mode 100644
index 00000000..d18a1dda
--- /dev/null
+++ b/backlog/tasks/ml-144 - Implement-magazine-issue-ingestion-pipeline.md	
@@ -0,0 +1,63 @@
+---
+id: ML-144
+title: Implement magazine issue ingestion pipeline
+status: To Do
+assignee: []
+created_date: '2026-04-22 15:38'
+labels:
+  - feature
+  - magazines
+  - ai
+  - oban
+  - pipeline
+dependencies: []
+priority: medium
+---
+
+## Description
+
+<!-- SECTION:DESCRIPTION:BEGIN -->
+Build a pipeline to ingest music magazine issues (PDF), extract structured metadata (artist mentions, album reviews, upcoming releases, features), and surface relevant information in the app.
+
+## Approach (Approved)
+**Approach 1 — Text-first, single LLM pass with structured output:**
+- Extract text locally with pdftotext (poppler, shell from Elixir)
+- Feed chunks to OpenAI Responses API with JSON schema for structured output
+- One Oban worker per issue, one API call per chunk
+- Cost estimate: ~$0.01–0.10 per issue with gpt-4o-mini
+
+## Pipeline Overview
+1. Upload PDF → store as Asset
+2. Enqueue `IngestIssue` worker (new `magazines` queue, concurrency 1)
+3. Extract text locally (pdftotext)
+4. Split by section boundaries (page breaks, headings)
+5. Per-chunk LLM call requesting structured payload:
+   - `mentions`: [{type: "artist"|"album"|"track", name, artist_name?, release_date?, context_snippet}]
+   - `topic`: "review"|"news"|"upcoming"|"feature"
+6. Persist to new `Magazines` context (Issue, Mention schemas)
+7. Resolve each mention against existing records/artists by name (MusicBrainz lookup fallback for unknowns)
+
+## Personalization Layer
+- Load collection's artist MBIDs once per issue
+- Match mentions by name → MBID (exact match, then fuzzy / MusicBrainz search)
+- For matched artists/albums: create Note linked via musicbrainz_id with article snippet
+- For unmatched artists in recommendation contexts: queue as wishlist candidates
+- Upcoming releases: new schema or flag on notes with reminder job
+
+## Integration Points
+- New context: `MusicLibrary.Magazines` with `Issue` and `Mention` schemas
+- New Oban queue: `magazines` (concurrency 1)
+- Workers: `IngestIssue`, `ExtractArticle`, `ResolveMentions`
+- LiveView: `MagazineLive.Index/Show` under main authenticated `live_session`
+- Surface mentions on `CollectionLive.Show`, `ArtistLive.Show` ("mentioned in Prog #166, Dec 2025")
+<!-- SECTION:DESCRIPTION:END -->
+
+## Acceptance Criteria
+<!-- AC:BEGIN -->
+- [ ] #1 Pipeline can ingest a magazine PDF and extract text without OCR
+- [ ] #2 Structured extraction (artist/album mentions, topics) is persisted to database
+- [ ] #3 Mentions are resolved against existing collection with MusicBrainz fallback lookup
+- [ ] #4 Notes are created for matched artists/albums with article context
+- [ ] #5 Magazine mentions surface on record/artist detail pages
+- [ ] #6 Cost per issue documented and under budget estimate
+<!-- AC:END -->