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Command OS Revenue Engine

Scan a Facebook profile, run it through the Revenue Engine analyzer, and turn the result into a complete business build in under two minutes, all from one click.

BUILD.IT.ONE.CLICK.mp4

This repo is not a generic content app. It is a local pipeline that grabs profile data, identifies the market pain point, infers the best offer, and generates the website, app ideas, and 7-day content plan from the report.

What it does

  • Opens a Facebook profile in Chrome and captures the visible profile text.
  • Sends that capture into the Revenue Engine analyzer.
  • Figures out the offer, pain point, and market need from the profile signal.
  • Generates the website, three app ideas, and a 7-day content plan.
  • Produces supporting asset packs and planner outputs from the same report signal.
  • Serves the generated outputs locally for review.

Core flow

  1. Open a profile in Chrome.
  2. Capture the visible page text.
  3. Run the Revenue Engine analyzer.
  4. Infer the right offer and the market pain point.
  5. Generate the website, three apps, and 7-day content plan.
  6. Open the sales page and review the outputs locally.

Everything is designed to flow from one click into one report, then into the full business build.

The intended pipeline is:

Facebook profile capture -> Revenue Engine report -> structured outputs -> previews -> publish

Main outputs

Generated files live in full-pipeline-output/:

  • sales-page.html
  • planner.html
  • content-plan.html
  • business-build.html
  • generated-site.html
  • generated-site-preview.html
  • generated-asset-pack.md
  • generated-summary.json
  • app-ideas.md
  • 7-day-plan.md
  • execution-instructions.md

Key files

  • run_full_pipeline.sh runs the full Chrome/AppleScript pipeline on macOS.
  • generate_from_report.js converts the report and profile capture into the generated assets.
  • demo-server.mjs serves the generated previews locally.
  • report-to-assets-template.md defines the structured output format.
  • repeatable-workflow.md documents the short version of the process.

Run the pipeline

./run_full_pipeline.sh

This script assumes:

  • macOS
  • Google Chrome installed
  • AppleScript accessibility access enabled

Run the local demo server

node demo-server.mjs

Then open:

  • http://localhost:4321/
  • http://localhost:4321/sales-page
  • http://localhost:4321/planner
  • http://localhost:4321/content-plan
  • http://localhost:4321/business-build

What the generated system contains

  • A report summary that reads the audience, offer, content pattern, and monetization angle.
  • A sales page built from the report signal.
  • A 7-day content plan with hooks and CTAs.
  • Three monetizable app ideas.
  • A business operating system for offer setup, planner control, launch steps, and publishing readiness.

Repository layout

  • *.html files are local prototypes and previews.
  • *.md files are templates, workflow notes, and generated asset packs.
  • full-pipeline-output/ contains the latest generated artifacts.

Status

This is a prototype pipeline for turning raw social/profile signal into a structured business build.

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