/ docs / procedures / PODCAST_RESONANCE_TRAINING.md
PODCAST_RESONANCE_TRAINING.md
  1  # Podcast Resonance Training Procedure
  2  
  3  ## Overview
  4  
  5  This procedure trains the Theory of Mind system by predicting which podcast ideas will resonate with Rick, then comparing predictions to actual selections.
  6  
  7  **Why this matters:** The delta between prediction and actual reveals gaps in the cognitive fingerprint model. Each training session improves the system's ability to surface relevant content before Rick explicitly requests it.
  8  
  9  ---
 10  
 11  ## The Pipeline
 12  
 13  ```
 14  ┌─────────────────────────────────────────────────────────────────┐
 15  │                    PODCAST TRAINING PIPELINE                     │
 16  ├─────────────────────────────────────────────────────────────────┤
 17  │                                                                  │
 18  │  1. CAPTURE          2. TRANSCRIBE       3. PREDICT             │
 19  │  ┌──────────┐        ┌──────────┐        ┌──────────┐           │
 20  │  │ Overcast │   →    │ Podwise  │   →    │ Cognitive│           │
 21  │  │ OPML     │        │ Markdown │        │Fingerprint│          │
 22  │  │ Export   │        │ Transcript│       │ Analysis │           │
 23  │  └──────────┘        └──────────┘        └──────────┘           │
 24  │       ↓                   ↓                   ↓                  │
 25  │  Recently played     Key ideas          Resonance               │
 26  │  episodes            extracted          predictions             │
 27  │                                                                  │
 28  ├─────────────────────────────────────────────────────────────────┤
 29  │                                                                  │
 30  │  4. PRESENT          5. REVEAL           6. TRAIN               │
 31  │  ┌──────────┐        ┌──────────┐        ┌──────────┐           │
 32  │  │ Obsidian │   →    │ Rick     │   →    │ Compare  │           │
 33  │  │ Note     │        │ Reorders │        │ & Update │           │
 34  │  │ Template │        │ & Comments│       │Fingerprint│          │
 35  │  └──────────┘        └──────────┘        └──────────┘           │
 36  │       ↓                   ↓                   ↓                  │
 37  │  Prediction table    Ground truth        New gravity            │
 38  │  for review          revealed            wells, patterns        │
 39  │                                                                  │
 40  └─────────────────────────────────────────────────────────────────┘
 41  ```
 42  
 43  ---
 44  
 45  ## Step-by-Step Procedure
 46  
 47  ### Step 1: CAPTURE - Export Overcast Data
 48  
 49  **What:** Export your podcast listening history from Overcast.
 50  
 51  **How:**
 52  1. Open Overcast app
 53  2. Settings → Export OPML
 54  3. Save to `~/Downloads/overcast.opml`
 55  
 56  **Or ask Claude:**
 57  > "What have I listened to recently?"
 58  
 59  Claude will parse the OPML and show recent listens.
 60  
 61  ---
 62  
 63  ### Step 2: TRANSCRIBE - Get Podcast Transcript
 64  
 65  **What:** Obtain a transcript of the episode you want to train on.
 66  
 67  **Options:**
 68  1. **Podwise** (preferred) - AI-generated transcripts with highlights
 69     - Download markdown export to `~/Downloads/`
 70  2. **Manual transcript** - From podcast show notes
 71  3. **Whisper transcription** - Generate locally from audio
 72  
 73  **Convention:** Name transcript files with podcast/episode name for matching.
 74  
 75  ---
 76  
 77  ### Step 3: PREDICT - Claude Analyzes and Predicts
 78  
 79  **What:** Claude reads the transcript and predicts which ideas will resonate.
 80  
 81  **Ask Claude:**
 82  > "I listened to [podcast episode]. Can you analyze the transcript at [path] and predict which ideas resonated with me?"
 83  
 84  **What Claude does:**
 85  1. Parses transcript into discrete ideas
 86  2. Scores each idea against cognitive fingerprint:
 87     - Gravity well proximity
 88     - Pattern preference match
 89     - Altitude alignment
 90     - Resonance trigger detection
 91  3. Ranks ideas by predicted resonance
 92  4. Outputs prediction table with confidence scores
 93  
 94  ---
 95  
 96  ### Step 4: PRESENT - Create Training Note
 97  
 98  **What:** Claude creates an Obsidian note with predictions for Rick to review.
 99  
100  **Output location:** `/Users/rcerf/repos/Sovereign_Estate/training/`
101  
102  **Note structure:**
103  ```markdown
104  # Resonance Prediction Training: [Episode Title]
105  
106  ## Claude's Predictions
107  | Rank | Idea | Resonance Factors | Confidence |
108  |------|------|-------------------|------------|
109  | 1    | ...  | ...               | 0.92       |
110  
111  ## Rick's Actual Selections
112  | Rank | Idea | Commentary |
113  |------|------|------------|
114  | 1    |      |            |
115  
116  ## Ideas Claude Missed
117  | Idea | Why it resonated |
118  |------|------------------|
119  
120  ## Ideas Claude Over-Predicted
121  | Idea | Why it didn't land |
122  |------|-------------------|
123  ```
124  
125  ---
126  
127  ### Step 5: REVEAL - Rick Annotates
128  
129  **What:** Rick fills in actual selections with commentary.
130  
131  **Instructions:**
132  1. Open the training note in Obsidian
133  2. In "Rick's Actual Selections":
134     - Copy ideas that actually resonated
135     - Rank them by strength of resonance
136     - Add commentary explaining WHY they resonated
137  3. In "Ideas Claude Missed":
138     - Add any ideas that resonated but weren't in Claude's top predictions
139     - Explain what made them resonate
140  4. In "Ideas Claude Over-Predicted":
141     - Note any high-confidence predictions that didn't actually resonate
142     - Explain why they didn't land
143  
144  **The commentary is crucial** - it reveals the cognitive patterns that the fingerprint model should learn.
145  
146  ---
147  
148  ### Step 6: TRAIN - Update Cognitive Fingerprint
149  
150  **What:** Claude reads Rick's annotations and updates the model.
151  
152  **Ask Claude:**
153  > "I've filled in my selections in [training note]. Run the training analysis."
154  
155  **What Claude does:**
156  1. Computes metrics:
157     - Precision (% of predictions that were correct)
158     - Recall (% of actual resonances that were predicted)
159     - F1 Score
160  2. Identifies new gravity wells from surprising selections
161  3. Adjusts pattern preferences based on what actually resonated
162  4. Updates altitude distribution
163  5. Records training session in cognitive fingerprint history
164  
165  ---
166  
167  ## Quick Commands
168  
169  **List recent listens:**
170  ```
171  "Show me what podcasts I've listened to in the last 2 weeks"
172  ```
173  
174  **Start training session:**
175  ```
176  "Create a resonance training session for [episode name]"
177  ```
178  
179  **Run training analysis:**
180  ```
181  "Analyze my training annotations in [note path]"
182  ```
183  
184  **Show cognitive fingerprint:**
185  ```
186  "What does my current cognitive fingerprint look like?"
187  ```
188  
189  ---
190  
191  ## File Locations
192  
193  | File | Path |
194  |------|------|
195  | Overcast OPML | `~/Downloads/overcast.opml` |
196  | Podwise transcripts | `~/Downloads/*.md` |
197  | Training notes | `/Users/rcerf/repos/Sovereign_Estate/training/` |
198  | Cognitive fingerprint | (stored in God Database) |
199  
200  ---
201  
202  ## Training Session Checklist
203  
204  - [ ] Export fresh Overcast OPML
205  - [ ] Identify episode for training
206  - [ ] Obtain transcript (Podwise or other)
207  - [ ] Claude generates predictions
208  - [ ] Review predictions in Obsidian
209  - [ ] Fill in actual selections with commentary
210  - [ ] Claude runs training analysis
211  - [ ] Review cognitive fingerprint updates
212  
213  ---
214  
215  ## Example Training Session
216  
217  **Input:**
218  > "I just listened to the Acquired Playbook episode. The transcript is at ~/Downloads/The Playbook Lessons from 200+ Company Stories.md. Create a training session."
219  
220  **Output:**
221  - Training note at: `Sovereign_Estate/training/2026-01-13-acquired-playbook-resonance.md`
222  - Claude's top 10 predictions with confidence scores
223  - Empty tables for Rick's annotations
224  
225  **After annotation:**
226  > "I've filled in my selections. Run training."
227  
228  **Output:**
229  - Precision: 60%, Recall: 80%, F1: 0.69
230  - New gravity wells: "reflexivity", "duration"
231  - Pattern adjustment: +0.1 to FIRST_PRINCIPLES
232  
233  ---
234  
235  *Procedure Version: 1.0*
236  *Sovereign OS Theory of Mind Pipeline*