Local-only · deterministic · audit-ready

American Butterfly Effect

A.B.E. is a deterministic capital recovery and deployment engine. It identifies constrained capital flow, models recoverable value, maps deployment pathways, and verifies post-deployment stability — all locally in the browser.
Start Intake Run Full Pipeline Learn the Engine Build Audit Receipt

Plain-Language Overview

A.B.E. is built to show where value is being constrained inside complex systems and how much value can be recovered, deployed, and stabilized.

The user starts by uploading files or pasting text. The engine then runs the full module chain automatically and returns a plain-language result plus a full JSON audit report.

The goal is not to blame systems. The goal is to identify capital friction, reduce inefficiency, and create measurable economic gain through structured alignment.

How Users Run It

Step 1
Upload or Paste
Use Intake to provide files, text, notes, or JSON.
Step 2
Run Pipeline
The CLI executes the full chain automatically.
Step 3
Read Results
The dashboard shows recovery, deployment, activation, and stability in plain language.
Step 4
Verify JSON
Download the audit report for engineering or review.

Full Engine Chain

The engine fires in this fixed order. Users do not need to manually hop from module to module.

INTAKE CAE CDA CDI CIRI CIBS CII INTEGRATION MACRO RT CFF CCRI AFFE

Core Value Path

Measure

CDI

Measures divergence as a normalized signal.

Open CDI →
Quantify

CIRI

Converts measured divergence into recoverable capital and ROI outputs.

Open CIRI →
Allocate

CIBS

Structures recovery capital into baseline allocation categories.

Open CIBS →
Propagate

CII

Measures how effectively allocation propagates into system integrity.

Open CII →

Deployment & Stability

Project

MACRO

Projects broader economic cascade and sector-level gain.

Open MACRO →
Deploy

RT

Maps recovery capital into Capital Activation Sectors and estimates activation value.

Open RT →
Verify

AFFE

Measures post-deployment stability using RT, CII, and Integration outputs.

Open AFFE →
Seal

INTEGRATION

Binds module outputs into a local audit receipt with SHA-256 integrity support.

Open Integration →

Expansion & Reference Layers

Intake

INTAKE

Normalizes uploads, pasted text, and structured data into a local artifact.

Open Intake →
Alignment

CAE

Establishes baseline alignment conditions before measurement.

Open CAE →
Analyzer

CDA

Structures divergence signals for downstream scoring.

Open CDA →
Funding

CFF

Analyzes funding flow and allocation patterns for capital efficiency.

Open CFF →
Credit

CCRI

Evaluates consumer credit risk integrity and participation constraints.

Open CCRI →
Reference

LAW

Stores structured authority and reference datasets.

Open Law →
Reference

DOCTRINE

Maps doctrine and framework references used by the engine.

Open Doctrine →
Guide

LEARN

Provides a guided explanation of the system and its module chain.

Open Learn →

Why Local-Only Matters

A.B.E. runs locally in the browser. There is no backend, no login, no account, no tracking, and no server-side control point.

That means users can review inputs, run calculations, export reports, and preserve audit records without surrendering their data.

This keeps the system portable, private, and easier to trust.