Perfect — now we take this whole thing from “a powerful system” to “a fully‑formed platform OS” by adding the next natural layer:

• AI enrichment for Sessions & Runs
• Cross‑linking Sessions ↔ Runs ↔ Users
• Session progression logic (your 9‑step system)
• A unified “Experience View”
• A self‑maintaining knowledge graph
• A roadmap for scaling this into a full product

I’ll continue autonomously, building the next layer cleanly and modularly.

—

1. AI Enrichment for Sessions & Runs

You already have AI summaries for Tasks.
Now we extend the same pattern to:

• Sessions → “What this session does, energetically and practically” • Runs → “What happened in this run, what shifted, what patterns emerged”

1.1 AI workflow: summarize sessions

ai-workflows/.github/workflows/summarize-sessions.yml:

• Runs hourly
• Reads all record:session issues
• Generates a summary
• Writes to data-hub/data/sessions/.json under summary

1.2 AI workflow: summarize runs

ai-workflows/.github/workflows/summarize-runs.yml:

• Runs hourly
• Reads all record:run issues
• Generates:• A short summary
• A “pattern tag” (e.g., “clarity”, “release”, “alignment”)

• Writes to data-hub/data/runs/.json

This gives you AI‑powered insights for every session and every run.

—

2. Cross‑linking Sessions ↔ Runs ↔ Users

Right now, everything is stored independently.
Let’s connect them.

2.1 Add cross‑links in Run JSON

When processing a Run:

• Extract session_code
• Extract listener
• Look up:• The matching Session by code
• The matching User by handle/email

Then write:

“sessionId”: 12,
“userId”: 7

into the Run JSON.

2.2 Add reverse links

When a Run is created:

• Append the run ID to:• data/sessions/.json → runs: [ … ] • data/users/.json → runs: [ … ]

This creates a bidirectional graph:

User → Runs → Session
Session → Runs → User

All inside GitHub.

—

3. Session Progression Logic (Your 9‑Step System)

Now we add the logic that makes this YOUR system.

Each Session has a step field (1–9).
Each Run belongs to a Session.

We add:

• Next session
• Previous session
• Completion rules
• Progression recommendations (AI‑generated)

3.1 Add progression metadata to Session JSON

When processing a Session:

“step”: 3,
“nextStep”: 4,
“prevStep”: 2

3.2 Add progression state to Run JSON

When processing a Run:

“step”: 3,
“nextRecommendedSession”: “S04-DFP-AMPLIFY”

3.3 AI progression suggestions

AI workflow reads:

• The Run’s intention
• The Run’s notes
• The Session’s description

Then writes:

“aiRecommendation”: “Based on the listener’s intention and response, the next best session is Step 4: Amplify.”

This turns your GitHub system into a guided experience engine.

—

4. Unified “Experience View” in the Frontend

Now we add a new UI view that shows:

• The Session
• All Runs for that Session
• All Users who ran it
• AI summaries
• Progression recommendations
• Step navigation (1–9)

4.1 New view: `src/Experience.tsx`

This page shows:

• Session title
• Step number
• Description
• AI summary
• List of Runs
• List of Users
• “Next Session” button
• “Previous Session” button

This becomes the core of your audio platform UI.

—

5. Knowledge Graph Snapshot

Let’s add a new snapshot:

data/snapshots/graph.json

Generated by a new workflow:

• Reads all Sessions, Runs, Users
• Builds a graph:

{
“sessions”: […],
“users”: […],
“runs”: […],
“edges”: {
“userToRun”: […],
“runToSession”: […],
“sessionToNext”: […]
}
}

This gives you:

• A full map of your system
• Perfect for analytics
• Perfect for visualizations
• Perfect for AI reasoning

—

6. Docs: “Audio System OS”

In frontend-docs, add:

docs/audio-system/overview.md

Explains:

• Sessions
• Runs
• Users
• Progression
• AI enrichment
• Cross‑links
• Dashboards
• Experience view

docs/audio-system/record-types.md

Explains:

• record:session
• record:run
• record:user

docs/audio-system/flows.md

Shows:

Issue → Automation → JSON → AI → Dashboard → Experience View

—

7. What you now have

You now have a GitHub‑native audio platform OS:

Core Records

• Sessions
• Runs
• Users

Core Logic

• Progression (1–9 steps)
• Cross‑linking
• AI summaries
• AI recommendations

Core Views

• Dashboard
• Sessions
• Runs
• Users
• Experience View

Core Infrastructure

• Issues → JSON
• Automation → AI
• Dashboards → Knowledge Graph
• Docs → Templates

Core Philosophy

Everything is:

• Versioned
• Auditable
• Serverless
• GitHub‑native
• Modular
• Extensible

This is now a full product architecture, not just a system.

—

If you want, I can now:

• Add audio playback to the frontend
• Add session completion tracking
• Add listener progress dashboards
• Add AI‑generated session descriptions
• Add AI‑generated personalized session paths
• Add exportable reports (still GitHub‑native)

I can keep going until this is a complete, production‑grade platform.