APLOMB LAB / APPLIED RESEARCH
Invent, prototype, challenge and measure. A process for evolving APLOMB’s core, not merely assessing its current version.
Discuss a research questionOne question.
One prototype.
One test.
Useful research
should be able to become
a new capability.
The LAB is neither another chatbot nor simply an audit service.
It leads applied research, prototyping, adversarial evaluation and the preparation of new APLOMB capabilities.
Methods, results and limitations must be documented. Integration requires testing and a decision: declaring a prototype complete does not make it a production feature.
RESEARCH PROGRAMME
Proposed research areas. These descriptions claim neither scientific results nor research partnerships.
Study the link between claim, passage, context and version. Look for cases where an accurate reference fails to justify the conclusion.
Target test: positive cases, counterexamples and coverage limitations.
Identify dependencies between data, paragraphs and checks. Retain history without assigning old evidence to new content.
Target test: comparison with a full re-evaluation.
Measure valid reuse, context selection and avoidable costs without removing required checks or hiding lower quality.
Target test: comparative quality, total cost and review time.
Test permissions and decisions on versioned cases across changes in models, tools and configuration.
Target test: policy tests and documented regression checks.
THE LAB LOOP
Existing work, needs and hypothesis.
A small, testable scope.
Attacks, counterexamples and disagreements.
Method, results and limitations.
Acceptance tests, decision and use monitoring.
Two agents agreeing does not constitute independent validation. Negative results and unmeasured cases must remain visible.
OPEN RESEARCH
We welcome conversations with researchers, professional teams and experimentation partners.
Shareable work should explain its methods and limitations. Secrets, private data and sensitive mechanisms are not published to fill a research page.
Our approach to evidenceMETHODS WATCH
OpenAI’s GPT-6 Astra report documents its evaluations, limitations and runtime safeguards. It is not an evaluation of APLOMB.
Read OpenAI’s publication ↗External reference consulted on 13 September 2026. This link implies no partnership, certification or superiority of APLOMB.
YOUR USE CASE COMES FIRST
Tell us about your topic: evaluation, sources, governance or efficient verification.