Let’s specialize this into something that actually matches you:

Let’s specialize this into something that actually matches you:
I’m going to turn this system into a GitHub‑native “Audio System OS”—built on the exact patterns we already wired:

• Sessions (your 9‑step flows, tracks, experiences)
• Listeners (users)
• Runs (a listener going through a specific session)

All still: Issues → JSON → UI → AI → Dashboards → Docs.

1. New record type: `Session` (your core audio unit)

Think: one “experience” in your 9‑step system.

1.1 Issue template in `issues-db`

.github/ISSUE_TEMPLATE/session.yml:

name: Session
description: Define an audio session in the system
title: “session: ”
labels: [“record:session”, “status:active”]
body:
– type: input
id: code
attributes:
label: Session Code
placeholder: “S01-DFP-INTRO”
validations:
required: true
– type: input
id: step
attributes:
label: Step Number
placeholder: “1-9”
– type: textarea
id: description
attributes:
label: Description
placeholder: “What this session does, energetically and practically.” – type: textarea
id: track_url
attributes:
label: Audio URL
placeholder: “Link to the audio file (or placeholder).”
– type: textarea
id: notes
attributes:
label: Notes
placeholder: “Internal notes, tags, frequency themes, etc.”

2. Dispatch: `record:session` → `backend-automation`

Extend issues-db/.github/workflows/on-issue.yml:

dispatch-session:
if: contains(github.event.issue.labels.*.name, ‘record:session’) runs-on: ubuntu-latest
steps:
– name: Send session to backend-automation
uses: peter-evans/repository-dispatch@v3
with:
token: ${{ secrets.GH_PAT }}
repository: max-github-system/backend-automation
event-type: session-record
client-payload: |
{
“number”: ${{ github.event.issue.number }},
“action”: “${{ github.event.action }}”,
“title”: “${{ github.event.issue.title }}”,
“state”: “${{ github.event.issue.state }}”,
“labels”: ${{ toJson(github.event.issue.labels) }},
“body”: ${{ toJson(github.event.issue.body) }}
}

3. Backend processor: `Session`

backend-automation/.github/workflows/on-dispatch-session-record.yml:

name: Handle Session Records

on:
repository_dispatch:
types: [session-record]

jobs:
process-session:
runs-on: ubuntu-latest
steps:
– uses: actions/checkout@v4

– uses: actions/setup-node@v4
with:
node-version: 20

– name: Install deps
run: npm ci || true

– name: Process session
env:
PAYLOAD: ${{ toJson(github.event.client_payload) }}
GH_TOKEN: ${{ secrets.GH_PAT }}
run: node scripts/processSessionRecord.mjs

backend-automation/scripts/processSessionRecord.mjs (simple parse):

import { Octokit } from ‘@octokit/rest’;

const payload = JSON.parse(process.env.PAYLOAD);
const octokit = new Octokit({ auth: process.env.GH_TOKEN });

function getLabelValue(labels, prefix) {
const label = labels.find(l => l.name.startsWith(prefix));
return label ? label.name.replace(prefix, ”) : null;
}

function mapStatus(labels, state) {
return getLabelValue(labels, ‘status:’) || (state === ‘closed’ ? ‘inactive’ : ‘active’); }

async function main() {
const labels = payload.labels || [];
const status = mapStatus(labels, payload.state);

const session = {
id: payload.number,
title: payload.title,
status,
labels: labels.map(l => l.name),
rawBody: payload.body,
updatedAt: new Date().toISOString()
};

const content = Buffer.from(JSON.stringify(session, null, 2)).toString(‘base64’);

await octokit.repos.createOrUpdateFileContents({
owner: ‘max-github-system’,
repo: ‘data-hub’,
path: `data/sessions/${payload.number}.json`,
message: `chore: sync session #${payload.number}`,
content
});
}

main().catch(err => {
console.error(err);
process.exit(1);
});

In data-hub, add data/sessions/.

4. New record type: `Run` (listener going through a session)

This is where it becomes a real “system”, not just catalog.

4.1 Issue template in `issues-db`

.github/ISSUE_TEMPLATE/run.yml:

name: Run
description: A listener going through a specific session
title: “run: for ”
labels: [“record:run”, “status:in-progress”]
body:
– type: input
id: session_code
attributes:
label: Session Code
placeholder: “S01-DFP-INTRO”
validations:
required: true
– type: input
id: listener
attributes:
label: Listener
placeholder: “email, handle, or user id”
validations:
required: true
– type: textarea
id: intention
attributes:
label: Intention
placeholder: “What is this run for?”
– type: textarea
id: notes
attributes:
label: Notes
placeholder: “Observations, shifts, anything relevant.”

4.2 Dispatch `record:run`

Add to on-issue.yml:

dispatch-run:
if: contains(github.event.issue.labels.*.name, ‘record:run’) runs-on: ubuntu-latest
steps:
– name: Send run to backend-automation
uses: peter-evans/repository-dispatch@v3
with:
token: ${{ secrets.GH_PAT }}
repository: max-github-system/backend-automation
event-type: run-record
client-payload: |
{
“number”: ${{ github.event.issue.number }},
“action”: “${{ github.event.action }}”,
“title”: “${{ github.event.issue.title }}”,
“state”: “${{ github.event.issue.state }}”,
“labels”: ${{ toJson(github.event.issue.labels) }},
“body”: ${{ toJson(github.event.issue.body) }}
}

4.3 Processor: `Run`

backend-automation/.github/workflows/on-dispatch-run-record.yml:

name: Handle Run Records

on:
repository_dispatch:
types: [run-record]

jobs:
process-run:
runs-on: ubuntu-latest
steps:
– uses: actions/checkout@v4

– uses: actions/setup-node@v4
with:
node-version: 20

– name: Install deps
run: npm ci || true

– name: Process run
env:
PAYLOAD: ${{ toJson(github.event.client_payload) }}
GH_TOKEN: ${{ secrets.GH_PAT }}
run: node scripts/processRunRecord.mjs

backend-automation/scripts/processRunRecord.mjs:

import { Octokit } from ‘@octokit/rest’;

const payload = JSON.parse(process.env.PAYLOAD);
const octokit = new Octokit({ auth: process.env.GH_TOKEN });

function getLabelValue(labels, prefix) {
const label = labels.find(l => l.name.startsWith(prefix));
return label ? label.name.replace(prefix, ”) : null;
}

function mapStatus(labels, state) {
return getLabelValue(labels, ‘status:’) || (state === ‘closed’ ? ‘completed’ : ‘in-progress’); }

async function main() {
const labels = payload.labels || [];
const status = mapStatus(labels, payload.state);

const run = {
id: payload.number,
title: payload.title,
status,
labels: labels.map(l => l.name),
rawBody: payload.body,
updatedAt: new Date().toISOString()
};

const content = Buffer.from(JSON.stringify(run, null, 2)).toString(‘base64’);

await octokit.repos.createOrUpdateFileContents({
owner: ‘max-github-system’,
repo: ‘data-hub’,
path: `data/runs/${payload.number}.json`,
message: `chore: sync run #${payload.number}`,
content
});
}

main().catch(err => {
console.error(err);
process.exit(1);
});

In data-hub, add data/runs/.

5. Frontend views: Sessions + Runs

Extend fetchData.mjs again:

const tasks = await fetchCollection(‘tasks’);
const users = await fetchCollection(‘users’);
const jobs = await fetchCollection(‘jobs’);
const sessions = await fetchCollection(‘sessions’);
const runs = await fetchCollection(‘runs’);

// write sessions.json and runs.json
fs.writeFileSync(path.join(outDir, ‘sessions.json’), JSON.stringify(sessions, null, 2)); fs.writeFileSync(path.join(outDir, ‘runs.json’), JSON.stringify(runs, null, 2));

5.1 `src/Sessions.tsx`

import sessions from ‘./generated/sessions.json’;

type Session = {
id: number;
title: string;
status: string;
labels: string[];
rawBody: string;
updatedAt: string;
};

export function Sessions() {
const typed = sessions as Session[];

return (

Sessions

  • {typed.map(s => (
  • #{s.id} {s.title}

    {s.status}

    {s.rawBody}
    

    Updated: {new Date(s.updatedAt).toLocaleString()}

    ))}

);
}

5.2 `src/Runs.tsx`

import runs from ‘./generated/runs.json’;

type Run = {
id: number;
title: string;
status: string;
labels: string[];
rawBody: string;
updatedAt: string;
};

export function Runs() {
const typed = runs as Run[];

return (

Runs

  • {typed.map(r => (
  • #{r.id} {r.title}

    {r.status}

    {r.rawBody}
    

    Updated: {new Date(r.updatedAt).toLocaleString()}

    ))}

);
}

Update App tabs to include:

• Dashboard
• Tasks
• Jobs
• Users
• Sessions
• Runs

You’ve now turned this into a GitHub‑native audio/work platform:

• Define sessions as Issues
• Track listeners’ runs as Issues
• Mirror everything to JSON
• Render it in a UI
• Aggregate it into dashboards
• Optionally enrich with AI

From here, you can:

• Add AI summaries for Sessions (“what this session does”) and Runs (“what happened in this run”) via ai-workflows, exactly like we did for Tasks.

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