diff --git a/circuitforge_core/api/__init__.py b/circuitforge_core/api/__init__.py
index 34f834d..38e0cfb 100644
--- a/circuitforge_core/api/__init__.py
+++ b/circuitforge_core/api/__init__.py
@@ -1,3 +1,4 @@
 from circuitforge_core.api.feedback import make_feedback_router
+from circuitforge_core.api.corrections import make_corrections_router, CORRECTIONS_MIGRATION_SQL
 
-__all__ = ["make_feedback_router"]
+__all__ = ["make_feedback_router", "make_corrections_router", "CORRECTIONS_MIGRATION_SQL"]
diff --git a/circuitforge_core/api/corrections.py b/circuitforge_core/api/corrections.py
new file mode 100644
index 0000000..77feef9
--- /dev/null
+++ b/circuitforge_core/api/corrections.py
@@ -0,0 +1,199 @@
+"""
+Shared corrections router — stores user corrections to LLM output for SFT training.
+
+Products include this with make_corrections_router(get_db=..., product=...).
+Corrections are stored locally in each product's SQLite DB and exported as JSONL
+for the Avocet SFT pipeline. Separate from the bug-feedback→Forgejo-issue path.
+
+Required DB migration (add to product migrations dir):
+    -- From circuitforge_core.api.corrections import CORRECTIONS_MIGRATION_SQL
+"""
+from __future__ import annotations
+
+import json
+import sqlite3
+from collections.abc import Callable
+from datetime import datetime, timezone
+from typing import Iterator, Literal
+
+from fastapi import APIRouter, Depends, HTTPException
+from fastapi.responses import StreamingResponse
+from pydantic import BaseModel, Field
+
+# Drop this SQL into a product's migrations directory (e.g. 020_corrections.sql).
+CORRECTIONS_MIGRATION_SQL = """\
+CREATE TABLE IF NOT EXISTS corrections (
+    id               INTEGER PRIMARY KEY AUTOINCREMENT,
+    item_id          TEXT    NOT NULL DEFAULT '',
+    product          TEXT    NOT NULL,
+    correction_type  TEXT    NOT NULL,
+    input_text       TEXT    NOT NULL,
+    original_output  TEXT    NOT NULL,
+    corrected_output TEXT    NOT NULL DEFAULT '',
+    rating           TEXT    NOT NULL DEFAULT 'down',
+    context          TEXT    NOT NULL DEFAULT '{}',
+    opted_in         INTEGER NOT NULL DEFAULT 0,
+    created_at       TEXT    NOT NULL DEFAULT (datetime('now'))
+);
+
+CREATE INDEX IF NOT EXISTS idx_corrections_product
+    ON corrections (product);
+
+CREATE INDEX IF NOT EXISTS idx_corrections_opted_in
+    ON corrections (opted_in);
+"""
+
+
+class CorrectionRequest(BaseModel):
+    item_id: str = ""
+    product: str
+    correction_type: str
+    input_text: str
+    original_output: str
+    corrected_output: str = ""
+    rating: Literal["up", "down"] = "down"
+    context: dict = Field(default_factory=dict)
+    opted_in: bool = False
+
+
+class CorrectionResponse(BaseModel):
+    id: int
+    saved: bool
+
+
+class CorrectionRecord(BaseModel):
+    id: int
+    item_id: str
+    product: str
+    correction_type: str
+    input_text: str
+    original_output: str
+    corrected_output: str
+    rating: str
+    context: dict
+    opted_in: bool
+    created_at: str
+
+
+def make_corrections_router(
+    get_db: Callable[[], Iterator[sqlite3.Connection]],
+    product: str,
+) -> APIRouter:
+    """Return a configured corrections APIRouter.
+
+    Args:
+        get_db: FastAPI dependency that yields a sqlite3.Connection.
+        product: Product slug injected into every correction row (e.g. "linnet").
+    """
+    router = APIRouter()
+
+    @router.post("", response_model=CorrectionResponse)
+    def submit_correction(
+        payload: CorrectionRequest,
+        conn: sqlite3.Connection = Depends(get_db),
+    ) -> CorrectionResponse:
+        """Store a user correction to an LLM output."""
+        # Thumbs-up with no corrected text is a valid positive signal.
+        if payload.rating == "down" and not payload.corrected_output.strip():
+            raise HTTPException(
+                status_code=422,
+                detail="corrected_output is required when rating is 'down'.",
+            )
+
+        row_id = conn.execute(
+            """
+            INSERT INTO corrections
+                (item_id, product, correction_type, input_text, original_output,
+                 corrected_output, rating, context, opted_in)
+            VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)
+            """,
+            (
+                payload.item_id,
+                product,
+                payload.correction_type,
+                payload.input_text,
+                payload.original_output,
+                payload.corrected_output,
+                payload.rating,
+                json.dumps(payload.context),
+                int(payload.opted_in),
+            ),
+        ).lastrowid
+        conn.commit()
+        return CorrectionResponse(id=row_id, saved=True)
+
+    @router.get("", response_model=list[CorrectionRecord])
+    def list_corrections(
+        opted_in_only: bool = False,
+        limit: int = 200,
+        conn: sqlite3.Connection = Depends(get_db),
+    ) -> list[CorrectionRecord]:
+        """List stored corrections, optionally filtered to opted-in rows only."""
+        conn.row_factory = sqlite3.Row
+        query = "SELECT * FROM corrections"
+        params: list = []
+        if opted_in_only:
+            query += " WHERE opted_in = 1"
+        query += " ORDER BY created_at DESC LIMIT ?"
+        params.append(max(1, min(limit, 1000)))
+        rows = conn.execute(query, params).fetchall()
+        return [
+            CorrectionRecord(
+                id=r["id"],
+                item_id=r["item_id"],
+                product=r["product"],
+                correction_type=r["correction_type"],
+                input_text=r["input_text"],
+                original_output=r["original_output"],
+                corrected_output=r["corrected_output"],
+                rating=r["rating"],
+                context=json.loads(r["context"] or "{}"),
+                opted_in=bool(r["opted_in"]),
+                created_at=r["created_at"],
+            )
+            for r in rows
+        ]
+
+    @router.get("/export")
+    def export_corrections(
+        opted_in_only: bool = True,
+        conn: sqlite3.Connection = Depends(get_db),
+    ) -> StreamingResponse:
+        """Stream corrections as JSONL for the Avocet SFT pipeline.
+
+        Each line is a JSON object with the fields expected by avocet's
+        SFT candidate importer. opted_in_only=True (default) — only rows
+        where the user consented to share are exported.
+        """
+        conn.row_factory = sqlite3.Row
+        query = "SELECT * FROM corrections"
+        if opted_in_only:
+            query += " WHERE opted_in = 1"
+        query += " ORDER BY created_at ASC"
+        rows = conn.execute(query).fetchall()
+
+        timestamp = datetime.now(timezone.utc).strftime("%Y%m%dT%H%M%SZ")
+        filename = f"corrections_{product}_{timestamp}.jsonl"
+
+        def generate() -> Iterator[str]:
+            for r in rows:
+                record = {
+                    "input": r["input_text"],
+                    "output": r["original_output"],
+                    "correction": r["corrected_output"],
+                    "rating": r["rating"],
+                    "correction_type": r["correction_type"],
+                    "product": r["product"],
+                    "item_id": r["item_id"],
+                    "context": json.loads(r["context"] or "{}"),
+                    "created_at": r["created_at"],
+                }
+                yield json.dumps(record, ensure_ascii=False) + "\n"
+
+        return StreamingResponse(
+            generate(),
+            media_type="application/x-ndjson",
+            headers={"Content-Disposition": f'attachment; filename="{filename}"'},
+        )
+
+    return router