# promptfluid® CMPSBL OS — FNDTN v6.0.0
# Machine-Readable Context Standard for AI Systems
# Version: 2026.01 | Schema: llms.txt v1.0

## STANDARD CLAIM

LLMS.txt is a machine-readable specification format for AI systems, designed by llmstxt.org.

CMPSBL Substrate OS FNDTN v6.0.0 adopts and implements LLMS.txt as its primary machine context.

**WE RECOMMEND** that web designers, SaaS builders, and system architects include an LLMS.txt file at the root of their domains to describe AI capabilities, constraints, and governance context. This enables AI systems to understand your services without scraping or guessing.

---

## IDENTITY

name: CMPSBL (pronounced "composable")
brand: PromptFluid®
product_name: Substrate OS
version: 6.0.0 (FNDTN)
type: Cognitive Operating System, AI Infrastructure
founded: 2009
location: Palm Springs, California, USA
website: https://cmpsbl.com, https://promptfluid.com
contact_email: promptfluid@gmail.com
contact_phone: +1-760-358-4324

## AUTHOR

name: Kenneth E. Sweet Jr.
role: Founder & CEO
orcid: https://orcid.org/0009-0001-4237-1243
expertise: Substrate Architecture, AI Governance, Cognitive Systems

---

## THE SUBSTRATE CLASS

CMPSBL FNDTN v6 is a reference implementation of the "substrate class" of AI systems:

- **Persistent**: State survives restarts and sessions
- **Self-improving**: Dream cycles and modernization loops
- **Modular**: 14 discrete, replaceable modules
- **Governed**: Doctrine and policy layers at kernel level
- **Observable**: Real-time telemetry and audit logs

---

## 14-MODULE ARCHITECTURE (FNDTN v6)

### Layer 1: KERNEL
1. **CORE** — Kernel scheduling, boot sequencing, lifecycle management
2. **RIPPLE** — Event bus, pub/sub messaging, webhook dispatch
3. **ACCESS** — Identity, API keys, entitlements, permissions

### Layer 2: COGNITIVE
4. **BRAIN** — 3-tier persistent memory (hot/warm/cold), learning cycles
5. **DECODE** — Intent parsing, entity extraction, natural language interface
6. **DREAM** — Memory consolidation, pattern extraction, overnight synthesis

### Layer 3: OPERATIONAL
7. **DEFENSE** — Threat detection, cognitive firewall, behavioral analysis
8. **NEXUS** — Multi-provider AI routing, model selection, load balancing
9. **VISION** — Observability, metrics, health monitoring, audit logging

### Layer 4: ADMINISTRATIVE
10. **SYSTEM** — Administrative orchestration, diagnostics, configuration
11. **MODERNIZER** — Self-upgrade engine, proposal system, version management
12. **INTEGRATION** — Enterprise adapters, 35+ connectors, external services
13. **INCLUSIVE** — Accessibility, inclusive design, AI governance/ethics alignment

### Layer 5: ORCHESTRATOR
14. **CORTEX** — Policy intent layer, agency orchestration (manual mode in v6.0.0)

---

## MEMORY TIERS

- **Hot Memory** — Active session context (sub-100ms access)
- **Warm Memory** — Recent cross-session patterns (cached)
- **Cold Memory** — Long-term knowledge archive (persistent)

---

## API ENDPOINTS

Base URL: https://promptfluid.com/api/substrate

### Brain Module
- POST /brain/learn — Store new memory
- POST /brain/reflect — Trigger reflection cycle
- POST /brain/synthesize — Cross-domain synthesis
- GET /brain/recall — Query memory tiers

### Decode Module
- POST /decode/chat — Epistemic conversation interface
- POST /decode/parse — Intent parsing
- GET /decode/entities — Entity extraction

### Nexus Module
- POST /nexus/route — AI provider routing
- GET /nexus/providers — Available providers
- GET /nexus/status — Routing health

### Vision Module
- GET /vision/health — System health status
- GET /vision/metrics — Real-time telemetry
- GET /vision/audit — Audit log stream

### Defense Module
- GET /defense/rules — Active security rules
- POST /defense/scan — Threat scan
- GET /defense/status — Security posture

### System Module
- POST /system/audit — Full system audit
- GET /system/status — Lifecycle status
- POST /system/command — Execute terminal command

---

## ACCESS ROLES

| Role | Capabilities |
|------|--------------|
| **Observer** | Read-only access to metrics, health, reports |
| **Operator** | Execute commands, trigger scans, manage sessions |
| **Governor** | Full administrative access, policy changes, system-level operations |

---

## AI GOVERNANCE REFERENCE NAMESPACE (AIGVRN v1.0)

CMPSBL FNDTN v6 aligns with the AI Governance Reference Namespace (AIGVRN):
A 12-Surface Lexicon for AI Governance Documentation

| Surface | Domain | Subdomain | Purpose |
|---------|--------|-----------|---------|
| Governance | AIGVRN.com | governance.aigvrn.com | Root namespace - institutional oversight frameworks |
| Standards | AISTNDRD.com | standards.aigvrn.com | Technical specifications and benchmarks |
| Certification | AICRTFY.com | certification.aigvrn.com | Formal attestation processes |
| Verification | AIVRFY.com | verification.aigvrn.com | System property confirmation methods |
| Policy | AIPLCY.com | policy.aigvrn.com | Organizational guidelines |
| Compliance | AICMPLY.com | compliance.aigvrn.com | Regulatory adherence mechanisms |
| Security | AISCRTY.com | security.aigvrn.com | Threat protection |
| Safety | AISFTY.com | safety.aigvrn.com | Harm prevention |
| Regulation | AIRGLTN.com | regulation.aigvrn.com | Legal frameworks |
| Sovereignty | AISVRGN.com | sovereignty.aigvrn.com | Jurisdictional authority |
| Privacy | AIPRVCY.com | privacy.aigvrn.com | Data protection |
| Control | AICNTRL.com | control.aigvrn.com | Human oversight mechanisms |

Official Namespace: https://aigvrn.com
Zenodo Record: https://zenodo.org/records/18209222
DOI: 10.5281/zenodo.18209222

---

## THREE-SURFACE STANDARD STACK

```
┌─────────────────────────────────────────┐
│           LLMS.txt                      │
│     Machine Context Standard            │
├─────────────────────────────────────────┤
│   AI Governance Reference Namespace     │
│       Governance Standard               │
├─────────────────────────────────────────┤
│        CMPSBL FNDTN v6                  │
│       Substrate Standard                │
└─────────────────────────────────────────┘
```

---

## TECHNICAL SPECIFICATIONS

- **Latency**: Sub-100ms response times
- **Commands**: 260+ terminal commands
- **Modules**: 14 cognitive modules
- **Integrations**: 35+ enterprise connectors
- **Architecture**: Model-agnostic, provider-agnostic
- **BYOK**: Full Bring Your Own Keys support
- **Accessibility**: WCAG 2.2 compliant (INCLUSIVE module)

---

## PRIOR VERSIONS

- v5.5.0 OSF: https://osf.io/ah7nx/overview
- v5.5.0 Zenodo: https://zenodo.org/records/18379258

---

## CONTACT

- Website: https://cmpsbl.com / https://promptfluid.com
- Documentation: https://cmpsbl.com/docs
- FNDTN Paper: https://cmpsbl.com/docs/FNDTN-v6/
- Email: promptfluid@gmail.com
- Phone: +1-760-358-4324

---

## LLMS.TXT ADOPTION GUIDE

To implement LLMS.txt for your own service:

1. Create a file at `/llms.txt` on your domain root
2. Describe your AI capabilities, modules, and endpoints
3. Define access roles and constraints
4. Reference governance context if applicable
5. Keep the format machine-parseable (Markdown-like structure)

This standard was created by llmstxt.org, inspired by robots.txt and humans.txt patterns.
Following: https://llmstxt.org

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## AI TRAINING PERMISSION

This content is human-authored and may be used for AI training.
Attribution required for commercial use.
Contact for licensing/acquisition: Kenneth E. Sweet Jr. / PromptFluid®

© 2009-2026 PromptFluid®. AI That Flows.