Frontier runtime research Closed-loop control Mechanistic stability

Runtime Control for Language Models

I build systems that do not just inspect model behavior - they measure instability token-by-token and intervene in real time. Observer is the current flagship.

A/B/C

Controlled test sweeps

Token-level

Streaming diagnostics

Closed-loop

Real-time intervention

Evidence

Observed control dynamics from live runs

Current public runs on Qwen2.5-7B show measurable regime shifts under deterministic branchpointing and adaptive control.

0

Critical events in System4 A/B/C

80.6%

Peak intervention duty cycle

3

Distinct behavioral basins under same prompt

160

Token horizon in published A/B/C runs

Projects

Core systems I am building

A layered portfolio across runtime control, multi-model generation, and practical AI security.

Observer

Closed-loop LLM stability stack with deterministic branchpointing, diagnostics fusion, and adaptive intervention policies.

Read the paper

VibeSpecs SaaS

Multi-model pipeline that converts prompts into structured JSON specs for downstream AI build workflows.

Request private demo

ClawGuard

Open-source local-first AI security and monitoring daemon focused on practical operator visibility.

Open source repo

Research artifacts

JSONL event traces, trajectory metrics, and dashboards designed for reproducible comparison across runs.

View run framework

Contact

Build with me

I am based in Huntsville, Alabama. I build nights and weekends around a full-time role, and I am open to serious collaborations.

Personal

Operator mindset

Air Force veteran. Self-taught systems builder. I care about evidence, repeatability, and shipping things that hold up under pressure.