Work Research Notes Knowledge Base Search Contact

Research and Consultation

What’s your p(opportunity)?

We investigate model internals, evaluate AI systems, and uncover where uncertainty can become defensible value.

Based in California

Field image 01 / Joshua Tree, CA

01 / Research

Research

Controlled experiments and investigations in LLM interpretability, alignment, agentic behavior, and more.

Recent examples

02 / Open harness

Prax suite

Docs

A security-first self-hosted agentic harness, with an integrated orchestrator, collaboration shell, sandbox, plugins, and keyless egress.

GitHub ↗
TeamWork chat with Prax beside a live browser screencast of a NASA article the agent opened

03 / Research domains

Where we work

Work index
01

Model internals

Jacobian lenses, sparse autoencoders, activation analysis, and controlled tests of what internal readouts establish.

02

Evaluation and safety

Matched comparisons, behavioral probes, null baselines, leakage checks, and reproducible evaluation infrastructure.

03

Applied AI systems

Agent environments, retrieval systems, and evidence pipelines that connect model behavior to inspectable source material.

04 / Operating principles

How we work

Experiment integrity
01

Release the evidence.

Code, prompts, data, hashes, artifacts, and result receipts ship with the claim.

02

Run the control.

Matched baselines and null tests determine what survives into the conclusion.

03

Report the failure.

Negative results and broken hypotheses remain part of the public record.