# Ward Agentic Research and Development (W.A.R.D.)

> Independent systems research studio founded by Thomas Ward, engineering open-source, local-first software tools for autonomous AI agents, developer workflows, privacy cooperatives, active runtime mediation, and datacenter thermal optimization.

## Core Systems & Software Prototypes

- [Continuum Studio](https://wardagentic.com/index.html#card-continuum): Zero-downtime local AI reverse proxy and Model Context Protocol (MCP) gateway. Features predictive `<4ms` 429 rate-limit preemption, Semantic AST Context Optimization (up to 38% payload token reduction while preserving logic), multi-provider key pooling, and Apple Silicon MLX zero-copy local neural fallback.
  - License: MIT (Client & SDK) / Apache 2.0 (Core Engine)
  - GitLab: https://gitlab.com/WardAgentic/continuum-studio
  - Target Audience: AI developers, engineers using Cursor, Claude Code, Windsurf, Antigravity, or custom agent loops encountering 429 rate-limit cascades.

- [DataPeer](https://wardagentic.com/index.html#card-datapeer): Hardware-attested privacy cooperative and decentralized synthetic data pipeline. Enables users to monetize browsing and agent telemetry while enforcing strict differential privacy (K ≥ 50, ε ∈ [0.1, 1.5]), client-side Apple NaturalLanguage NER redaction, Apple Secure Enclave P-256 cryptographic hardware attestation, and Lightning Network BOLT-11 micro-settlements.
  - License: MIT / Apache 2.0
  - GitLab: https://gitlab.com/WardAgentic/datapeer_dashboard
  - Target Audience: Privacy-focused developers, data co-ops, synthetic data aggregators, decentralized AI researchers.

- [Drydock AI](https://wardagentic.com/index.html#card-drydock): Active runtime mediation firewall and rogue agent containment system. Operates a sub-25ms deterministic inline proxy (regex rules, semantic clamping, reversible token-vaulting) coupled with an asynchronous out-of-band Monte Carlo Tree Search (MCTS UCT) red-teaming engine to detect multi-turn jailbreaks and unauthorized terminal tool calls.
  - License: Apache 2.0 / MIT
  - GitLab: https://gitlab.com/WardAgentic/drydock-ai
  - Target Audience: Enterprise AI security teams, agent orchestration architects, DevSecOps implementing NIST AI RMF and EU AI Act runtime safeguards.

- [GreenZero](https://wardagentic.com/index.html#card-greenzero): Hybrid edge datacenter thermal forecasting and workload migration architecture. Combines enterprise x86 VMware vSphere fabrics with Apple Silicon edge sidecars running multivariate Core ML LSTM models (0.72ms latency on Apple Neural Engine) to predict thermal hotspots and safely orchestrate non-destructive vMotion workload migrations before servers throttle.
  - License: Apache 2.0
  - GitLab: https://gitlab.com/WardAgentic/greenzero
  - Target Audience: Datacenter operations, green computing engineers, infrastructure teams targeting ASHRAE TC 9.9 and EU Energy Efficiency Directive (EED) compliance.

## Research Whitepapers & Technical Reports

- [TR-4000: Zero-Downtime Token Pooling and Predictive Rate-Limit Preemption in Local AI Proxies](https://wardagentic.com/index.html#card-continuum): Mathematical formulations and sliding-window algorithms for speculative key rotation and AST context compression.
- [TR-2000: Hardware-Attested Differential Privacy Cooperatives with Client-Side Sanitization and Layer-2 Micro-Settlement](https://wardagentic.com/index.html#card-datapeer): Laplace perturbation proofs, Apple Secure Enclave signing, and LSP Lightning micro-settlement mechanics.
- [TR-8000: Dual-Tier Runtime AI Mediation and Multi-Turn MCTS Red-Teaming for Autonomous Agent Containment](https://wardagentic.com/index.html#card-drydock): Deterministic inline proxy gating and Monte Carlo Tree Search adversarial simulation.
- [TR-6000: Hybrid Edge Neural Thermal Forecasting and Automated Storage Spindown in VMware Fabrics](https://wardagentic.com/index.html#card-greenzero): Multivariate Core ML LSTM edge inference on Apple Neural Engine and 8-stage deterministic vMotion safety gating.
- [TR-9000: Laboratory Testing & Evaluation Framework](https://wardagentic.com/index.html): Empirical testing methodologies, privacy noise calibration benchmarks, and hardware verification testbeds.

## Regulatory & Compliance Frameworks

- [Governance & Legal Compliance Center](https://wardagentic.com/compliance.html): Comprehensive statutory compliance matrices mapping W.A.R.D. architectures to NIST AI RMF 1.0, EU AI Act (Articles 14, 15, 50, 52), GDPR, and ASHRAE TC 9.9 standards.
- [Dual-Use Acceptable Use Policy](https://wardagentic.com/DUAL_USE_AUP.md): Strict defense-only covenants and authorization requirements for security evaluation tools.
- [Security & Vulnerability Disclosure](https://wardagentic.com/SECURITY.md): Coordinated vulnerability disclosure (CVD) program.

## Quick Ingestion Reference

- Full LLM Documentation Bundle: https://wardagentic.com/llms-full.txt
- Official Organization Hub: https://gitlab.com/WardAgentic
- Web Portal: https://wardagentic.com