A constitutional integrity, recovery, and deployment framework
Local-first · deterministic · audit-ready · citizen-first
A.B.E. (American Butterfly Effect) is a modular framework that:
- measures divergence,
- quantifies constrained value,
- models recovery pathways,
- maps deployment,
- and verifies stability using deterministic analysis.
The engine transforms complex structural systems into understandable and inspectable outputs.
Plain language:
What drifted?
What did it cost?
What can be recovered?
Where can recovery go?
Did deployment remain stable?
A.B.E. is built on a simple principle:
Users should not need to become lawyers,
economists, auditors, or engineers
just to understand structural systems.
The framework exists to convert:
- complexity,
- fragmentation,
- and hidden structural drift
into:
- measurable signals,
- readable explanations,
- and audit-ready artifacts.
Upload
→ Analyze
→ Quantify
→ Allocate
→ Deploy
→ Verify
INTAKE
→ CAE
→ CDA
→ CDI
→ CIRI
→ CIBS
→ CII
→ INTEGRATION
→ MACRO
→ RT
→ CFF
→ CCRI
→ AFFE
| Module | Purpose |
|---|---|
| INTAKE | Document Intake + OCR Bridge |
| CAE | Constitutional Alignment Engine |
| CDA | Constitutional Divergence Analyzer |
| CDI | Constitutional Divergence Index |
| CIRI | Constitutional Integrity ROI Engine |
| CIBS | Constitutional Integrity Baseline Schema |
| CII | Constitutional Integrity Index |
| INTEGRATION | Audit & SHA-256 Integrity Layer |
| MACRO | Macroeconomic Cascade Model |
| RT | Rebuild Together Engine |
| CFF | Constitutional Funding Forensics |
| CCRI | Consumer Credit Risk Integrity |
| AFFE | Appropriation Fidelity & Funding Engine |
| Module | Plain Meaning |
|---|---|
| CDI | How far did the system drift? |
| CIRI | What is it worth to fix? |
| CIBS | Where does recovery capital go? |
| CII | Who benefits and how much? |
| MACRO | What is the broader ripple effect? |
| RT | How does recovery deploy? |
| CFF | Is funding aligned with its purpose? |
| CCRI | How does this affect participation and access? |
| AFFE | Did funding fidelity and deployment stability hold? |
Most users should follow:
Start Here
→ Upload / Intake
→ Run Full Pipeline
→ Read Plain-Language Results
→ Download Audit JSON
Advanced module views remain available for:
- engineers,
- analysts,
- researchers,
- auditors,
- legal teams,
- and technical users.
A.B.E. is designed as a local-first system.
Core principles:
- no forced accounts,
- no required backend,
- no hidden uploads,
- no silent cloud processing,
- user-controlled exports,
- deterministic artifacts,
- audit-ready outputs.
Users maintain control over:
- uploaded documents,
- generated artifacts,
- exported JSON,
- and audit receipts.
A.B.E. can generate:
- JSON artifacts
- CSV exports
- audit receipts
- SHA-256 verification hashes
- funding normalization artifacts
- deployment models
- macro projections
- stability outputs
- plain-language findings
A.B.E. helps users:
- inspect systems,
- understand structural drift,
- model constrained participation,
- quantify recoverable value,
- map deployment pathways,
- and evaluate stability conditions.
The framework is modular and can support:
- governance analysis,
- funding analysis,
- economic modeling,
- infrastructure planning,
- deployment analysis,
- institutional review,
- participation analysis,
- and broader structural systems research.
The engine is intentionally designed so users can:
upload once
→ run automatically
→ read understandable findings
→ export structured artifacts
without needing to manually operate every module.
A.B.E. supports:
- deterministic execution,
- reproducible outputs,
- structured artifacts,
- and SHA-256 integrity verification.
The Integration layer helps preserve:
- chain-of-custody,
- artifact integrity,
- and export consistency.
The repository is organized into modular engine layers:
/intake
/cae
/cda
/cdi
/ciri
/cibs
/cii
/integration
/macro
/rt
/cff
/ccri
/affe
/system
/learn
/doctrine
/law
Each module can run independently while also supporting full-pipeline orchestration.
A.B.E. exists to transform:
complex structural systems
→ understandable deterministic analysis
through:
- measurable signals,
- transparent logic,
- structured outputs,
- and audit-ready workflows.
Licensed under CC BY-NC 4.0
Integrity only — never for sale.
Shouse, T. American Butterfly Effect (ABE). Zenodo.
DOI: 10.5281/zenodo.17586107
git clone https://github.com/Terra610/abe---flag.git
cd abe---flagOpen:
index.html
Then follow:
Start Here
→ Intake
→ Run Full Pipeline