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Gold Orchestrator v1.1 β€” Plan β†’ Mine (SM-22) β†’ Compile
⛏️ Gold Orchestrator β€” Plan β†’ Mine (SM-22) β†’ Compile
Youtube Transcript Gold Miner β€’ One paste compiler
Complexity hidden. Value exposed. The LLM does the lifting.
SP-22 planning auto-sizes to 2–6 segments β€’ Prefers timecode breaks β€’ Hard limit ~2.8k tokens/segment
Why bother?
πŸ”Find the **moments that matter** in any long talk β€” fast.
🧠Spots the **thinking patterns** behind the words, not just the words.
πŸ“ˆTurns those moments into **ready-to-use take-aways** (quotes, summaries, prompts).
How it works
β‘ Drop the transcript. The tool slices it into bite-size chunks.
β‘‘Mine each chunk. Pull out sharp quotes and the intent behind them.
β‘’Compile once. Everything rolls into one clean JSON file you can feed anywhere.
You get
🎯A **hit-list of quotes** you can cite, tweet, or drop in slides.
πŸ—ΊοΈA **map of the speaker’s mindset** (beliefs, trade-offs, goals).
πŸš€Plug-and-play files for **RAG, briefs, or card decks** β€” no re-formatting.
Tips
⏱️Set a **15-min timer** per chunk β€” done beats perfect.
βœ‚οΈKeep quotes under **280 chars**. One idea, one line.
πŸ”Output hides the method, shows only the value. Hard to copy, easy to use.
Buttons Β· Behaviors Β· Workflow
Toolbar
Send To β†’
Open provider tabs: ChatGPT, Claude, Gemini, Grok. Click a button to launch; copies aren’t auto-sent (privacy-friendly).
Open target after copy
When checked, any β€œCopy …” action opens your selected provider automatically.
ADHD view
Compact Cognitive Map output for faster scanning in SCM-11 prompts. Toggle on/off anytime.
Transcript
Paste or Drop .txt
Box accepts raw transcripts. Timecodes like [00:12:31] are detected and used for splits.
Auto Plan
SP-22 planner estimates tokens and proposes 1–6 segments (hard cap 6 for simplicity & stability).
SP-22 Planner
Target tokens/segment
Slider guides segment size (soft). Planner balances timecodes + semantics around this target.
Max segments
Upper bound (UI shows 1–6). Quick mode uses ≀3 to speed runs.
Manual hard splits
Comma-separated HH:MM:SSβ€”planner must cut at these marks.
Replan
Re-runs SP-22 with your latest settings (non-destructive).
Badges
⚠︎ warns if a segment estimates > 2800 tokens (consider extra split or higher target).
Per-Segment
⛏️ Copy SM-22 Prompt
Mines up to 22 high-value quotes (verbatim ≀280 chars) with novelty tags + scores. Paste into your model, run, then collect outputs.
πŸ“‹ Copy Segment Raw
Copies just the segment text if you want to handcraft or debug.
⛏️ Copy All SM-22 Prompts
Copies one concatenated prompt pack for all segments (fast parallel mining).
SCM-11 Miner
🎼 INIT (S1)
Builds the initial Cognitive Map (Beliefs, Values, Tradeoffs, Assumptions, Vision, Narratives, Collaboration) + Quote Spotlight + QuickJump + NeuroClarity cards. Anti-flattening β€œUNION-MODE”.
🎼 LAYER (S2+)
Adds only new updates + fresh spotlights. Strict UPDATE discipline preserves signal.
🎼 Aggregate
Compiles all SCM-11 segment outputs into a single worldview + final quote playlist.
🧩 JSONL Compiler
Turns SCM-11 text into GOLD_DATASET_JSONL (nuggets + map_items) + MANIFEST_JSON (no ranks; human-first fields).
Compiler
πŸ”— Copy Compiler Prompt
Paste all SM-22 JSONL outputs β†’ returns GOLD_DATASET_JSONL, MANIFEST_JSON, and OMITTED_JSONL (deduped & normalized).
🧼 Preflight Repair
Fixes messy JSON/markdown into clean JSONL (drop only irreparable lines).
πŸ§ͺ Post-Compile Audit
Checks id/timecode format, quote length, novelty set, basic caps/floors; returns a JSON violation report.
Transformers
Universal
Exec Summary, References, Applications, Development (API/RAG). Paste GOLD_DATASET_JSONL where indicated.
Synsian Set
QuickJump (10-min), Primer (20-min + blog), Decision Brief, Sales Playbook, UX Insight, PR Quote Bank, Analyst Brief, RAG Pack.
Copy Buttons
Each card copies a ready prompt. Outputs always cite [nugget_id @ tc] with verbatim quotes.
Copy & Toast
Any β€œCopy …” shows a green β€œCopied βœ“β€ toast. If β€œOpen target after copy” is checked, your chosen provider opens in a new tab so you can paste immediately.
Timecodes
Detection
Lines like [HH:MM:SS] anchor boundaries and inform Quote timestamps.
Strong gaps
Planner prefers splits where gaps β‰₯ ~20s or at explicit timecode starts.
Manual cuts
Exact, hard split at your entered timestamps.
Tokens
Estimator
Hybrid (chars+words) for robust sizing. Target is soft; 2800 is the hard guardrail per segment.
Cap of 6
Intentional simplicity: keeps copy-paste manageable and stable across providers.
Quick mode
Use ≀3 segments for speed; good enough for most drafts.
Workflow
1) Plan
Paste transcript β†’ tweak Target/Max/Manual splits β†’ SP-22 segments appear.
2) Mine
For each segment: run SM-22 (or SCM-11 INIT/LAYER). Save outputs.
3) Compile once
Use the appropriate Compiler (SM-22 or SCM-11 JSONL) to produce GOLD_DATASET_JSONL (+ MANIFEST, + OMITTED).
4) Repair/Audit
Run Preflight Repair (if needed) and Post-Compile Audit for confidence.
5) Transform
Feed GOLD into Universal/Synsian Transformers (QuickJump, NeuroClarity, Briefs, RAG).
Fixes
Oversized segment
Lower target tokens or add Manual split at nearest timecode; replan.
Messy miner output
Run Preflight Repair β†’ clean JSONL β†’ retry compile.
Duplicate quotes
Compiler de-dupes; see OMITTED_JSONL for reasons and kept ids.
Thin segments
Planner auto-merges tiny tails; otherwise raise target slightly and replan.
Value, Not Noise.