// pillar 04 — /operate

🎛 Operate

One person, one screen, a whole portfolio's ground truth — and agents doing the parts a team used to.

Pillar 04 — Operate

🎛 One screen runs the whole fleet

↑ click a feature — the window follows

command-center
10
live apps
107
signups
56%
use rate
$29
revenue
Push ninetyplan checkout fix live🤖 Have AI handle it
Review eulogywell CRO report🤖 Implement top finding
Approve designer round 2needs you

// the breakdown

Every module, all the way down.

operate.01

Command Center

The whole company above the fold.

The fleet's real numbers, live: signups, end-use rate, revenue, ad and AI spend, email health, per-app performance. Below them, one task ledger — yours and the machine's in a single list, where an AI classifier decides per task whether it can be delegated and grows the button to do it. Daily analysis digs file their own findings as tasks; stale machine nags self-archive; your items are never touched.

Above the day-to-day, initiative boards hold the big structural moves — each with its own subtask mini-board, drag-to-reorder, and subtasks that mirror into the task ledger so checking off in either place checks both.

Live KPIs across the fleetOne ledger: yours + the machine'sAI classifies → delegate button appearsDaily digs file their own tasksInitiatives for the long game

Numbers

live, beacon-verified

Delegation

per-task AI triage

Hygiene

auto-archive machine nags

Horizon

initiatives + subtasks

operate.02

App Analytics

No modeled numbers. Ever.

Every count is a beacon-verified event from a real session or a real account — landing views that actually rendered, signups that actually exist, purchases that actually charged. The journey funnel runs landing → signup → mid-use → completion → offer → purchase per app and across the fleet, with comparison mode for period-over-period deltas.

Click any stage and see the humans: the users in it, their session replays bounded to the window you're looking at, their emails one click from a full dossier. Analytics that ends in a person, not a chart.

Beacon events, bot-filteredFull journey funnel per app + fleetComparison mode, custom columnsStage → users → replays → dossier

Verification

beacon, per event

Funnel

landing → purchase

Drilldown

to the person

Modeled data

none

operate.03

Monetization

Prices live here. Stripe just charges.

Products, prices, and copy are managed centrally per app — Stripe processes the payment, but the catalog is yours, so a price change is one edit, not a deploy. Everything seeds as a draft; nothing is buyable until flipped live.

A purchase grants an entitlement the app reads at its premium gates — comp one to a tester in two clicks — and fires the full chain: funnel Purchase event, revenue in analytics, and a server-side Purchase to the ad platform carrying the real order value.

Catalog per app, drafts by defaultCheckout via Stripe, prices ride alongPurchase → entitlement at the gateEvent chain: funnel + analytics + ad platform

Catalog

yours, not Stripe's

Gates

entitlement-read

Comps

two clicks

Ad signal

real values, server-side

operate.04

Agents everywhere

The headcount you didn't hire.

A master agent sits over the whole operation — ask it why signups dipped and it reads the spend, the funnels, and the logs before answering, then files the fix as a task. Daily digs analyze the fleet on schedule and surface what a growth team would have found in standup.

Around it: scheduled automations (CRO report → improvement build, on cadence), custom domains provisioned from settings, team roles down to a designers-only portal, and a code mirror that lets outside collaborators push app code through guarded, versioned, staging-aware rails.

Master agent: read everything, actDaily digs → tasks with evidenceScheduled automations per moduleRoles, portals, domains, mirror rails

Master agent

full-context, can act

Digs

daily, self-filing

Automation

cron-backed

Collab

guarded mirror repo

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