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// 00

The Evidence

Active Frameworks
300+
Built in isolation from first principles. Not templates, not wrappers — original specification architecture across 9 brain repositories.
View on GitHub →
FSVE Certainty Engine
v4.3
Epistemic state machine. 13 scoring axes. M-STRONG convergence. The instrument that tells you exactly where your AI system's confidence is unjustified.
Read the specification →
Test Coverage
426
Enterprise test suite. Constitutional Engine v2.1. Nine sovereignty laws. Every framework ships with a red-team record and deferred findings log.
Browse the stack →
⬡ FSVE Reliability Snapshot — Sample Output (Redacted)
Client: [REDACTED] · System: NLP Pipeline · Date: Q1 2026
Evidence
0.62
Validity
0.71
Completeness
0.88
Consistency
0.54 ⚑
Confidence
0.49 ⚑
Risk
0.77
⚑ Two axes below 0.55 threshold — human oversight flagged on Consistency + Confidence.
Finding detail, remediation path, and deployment gate redacted from sample.
EV: 0.49 — OVERSIGHT ZONE
// 01

The Vault

Open Armory

30 free, pip-installable frameworks. Public repos. Live simulations. The drug-dealer strategy — first taste is free.

Browse Free Frameworks →

Spec Library

270+ locked blueprints. Browse capability summaries. Commission a full build-to-Docker on demand.

Browse the Library →

Custom Sovereign Builds

Enterprise frameworks. Private repos. Docker-sealed. Delivered with Architectural Insurance retainer.

Start a Project →
// 02

Vibe‑to‑Container

Idea to locked Docker image in six steps. Typical engagement: 5–10 business days.

Live Pipeline Walkthrough — click steps to advance
Step 1 / 6
Step 01 / 06
The Idea
Client brief received:
"We need a framework that scores
epistemic reliability in LLM outputs
across six dimensions with deployment gates."

→ Intake complete. Scope boundary defined.
Step 02 / 06
The Spec
FSVE_CLIENT_v1.0 specification draft:
axes: [Evidence, Validity, Completeness,
Consistency, Confidence, Risk]
deployment_gate: EV < 0.40 → OVERSIGHT_REQUIRED
scoring: Kalman-filtered, anti-laundering ceiling

→ Architecture locked. No silent failures.
Step 03 / 06
Vibe Code
Constitutional constraints active during build:
✓ ECF tags applied to every claim
✓ Falsification tests defined per module
✓ Red team pass: 23 findings surfaced & resolved
✓ Deferred findings logged with version targets

→ Code holds under adversarial conditions.
Step 04 / 06
Pip Package
$ pip install fsve-client

from fsve_client import FSVEEngine
engine = FSVEEngine(config="client_v1.yaml")
result = engine.score(output=llm_response)
print(result.ev) # 0.49 → OVERSIGHT_ZONE

→ Three-line integration. No DevOps PhD required.
Step 05 / 06
Docker Seal
SHA-256 provenance stamp applied:
IMAGE: fsve-client:1.0.0
DIGEST: sha256:a3f8c2...
CONSTITUTIONAL: Nine Laws compliant
TRIPLE_TIME: Gregorian + Hebrew + Dreamspell

→ Immutable. Reproducible. Cryptographically sealed.
Step 06 / 06
Delivered
Package delivered with:
✓ Full specification document
✓ Red team report (findings + resolutions)
✓ Architectural insurance retainer available
✓ Private GitHub repo, Docker image, pip release

→ You own the substrate. Forever.
💡 Idea
📐 Spec
⚙️ Build
📦 Package
🔐 Seal
🚀 Deliver

Learn the full process →

// 03

AI Reliability Audit

The Reliability Snapshot

3 founding client spots — first come, first sealed

Up to 10 real AI outputs, run through the FSVE certainty engine. A plain-language executive report delivered in 48–72 hours. Specific findings, scored, with actionable deployment thresholds. Not a consultant's opinion — a scored certainty architecture.

Price Range $1,500 – $50,000
Typical Engagement $1,500 · 48–72hr delivery
Instrument FSVE v4.3 · M-STRONG
Get Your Snapshot →
// 04

AION Certainty Stack

Active framework registry — current convergence states
Framework Version Function Convergence
FSVEv4.3 Epistemic State Machine (13 axes) M-STRONG
Constitutional Enginev2.1 Nine Laws · 426 tests · sovereignty stack ACTIVE
STPv4.0 SHA-256 provenance · pip installable LIVE
PDEv0.5 Pellucid Diagnostic Engine M-MODERATE
ADA-VELAv3.2 Execution gate · constitutional compliance LIVE
QAEv1.4 Question Amplification Engine M-MODERATE
Full stack documentation →
// 05

Connect

Contact aionsystem@outlook.com
GitHub github.com/AionSystem
LinkedIn Sheldon K. Salmon
ORCID 0009-0005-8057-5115
X @OCEAN_AION
The Vault Browse Frameworks

The substrate is built. The lattice is here. The question is whether your AI knows what it doesn't know.

Find out — Get a Snapshot → Direct line →