2026-09-02
User:
Write a Python script (put it in redacted: private) and run it. Input: the JSONL session transcript redacted: private (large; stream it line by line, never load it whole into your context, never cat it). Each line is a JSON object; look inside every string value recursively (message content, tool results, tool_use inputs) for text blocks containing a heading or label matching "New facts" (case-insensitive; also "New facts:", "## New facts", "New facts", "new facts (for backfill)") and extract the block from that label until the next blank line followed by a heading/label, or up to 3000 characters. Also capture, near the block, any mention of which scene(s) it concerns (patterns like "scene 73 unpublished", "scenes 41-46", "73-thirteen-down.md unpublished").
Output: write redacted: private a markdown file with one section per extracted block: "## <scene ref or unknown>" then the block verbatim. Deduplicate identical blocks. At the top, a count of blocks found and the list of scene refs.
Report back only: the count, the scene refs covered, the output path, and whether extraction looked reliable (e.g. how many blocks had no scene ref). Do not paste the facts into your reply.
🔧 Write redacted: private
✅ 1 lines, 216 chars
🔧 Bash: cd redacted: private && python3 mine_facts.py
✅ 1 lines, 28 chars — blocks=11 no_scene=0 refs=27
Done.