SERAPH
Public research alpha · AI agent runtime governanceCan human-defined commitments remain effective when an AI agent moves from conversation to tool use?
SERAPH evaluates proposed tool calls before they run, binds permitted actions to execution, and records what the host reports afterward. It makes human direction inspectable where an agent acts.
- Evidence and limits
- The public repository includes adapters, tests, a 17-case governance corpus, and Lean models. These examine defined behavior; live-host reliability and independent reproduction remain open.
- Public record
- Public source, adapters, tests, a 17-case governance corpus, and Lean models.
Coherence Systems Architecture
Working specification · v1.1What has to stay clear as people, AI, and ideas change one another?
When people and AI build together, unclear roles and dependencies make decisions hard to inspect or recover. This method makes purpose, limits, and responsibilities explicit.
- Evidence and limits
- If the method cannot make a project’s purpose, limits, dependencies, and signs of failure explicit before use, it is not doing the work it promises. The specification makes those steps inspectable.
- Public record
- Working specification · v1.1 · PDF
Human Closure
Published framework · transfer untested
Can people still notice, understand, choose, act, check, correct, and recover when AI is unavailable or wrong?
The framework specifies the human abilities and alternate paths needed to guide consequential work and recover when an AI pathway changes or fails.
- Evidence and limits
- The framework and practical checks are public. Transfer to a second operator has not yet been tested.
- Public record
- Human Closure framework and full paper
Crystalline Polymer Dataset
NeurIPS 2025 competition entryCan descriptors derived from polymer structures help examine five material property targets?
I built this dataset to test what human intuition and AI reasoning could produce together. Coherence Systems Architecture and perturbation techniques guided the search through latent space; the published features let others examine the result and test its predictive value.
- Evidence and limits
- The contribution is the published dataset and its feature design. Any claim of predictive improvement needs a reproducible comparison on the target properties.
- Public record
- Entry for NeurIPS – Open Polymer Prediction 2025. Published on Kaggle as “Crystalline Polymers and Quantum Stability” for five polymer property targets. The features are structure-derived, physics-inspired proxies.
QRT Bell Test
Recorded outcomesDo filed quantum hardware predictions survive the tests written for them?
A physical prediction earns trust by meeting the test filed for it, including when the result is negative. The visible job records show what was predicted, measured, and corrected.
- Evidence and limits
- The first two Bell fidelity tests were negative under their filed rules. A later verdict was withdrawn; later results are kept as separate findings.
- Public record
- IBM Quantum job IDs · Test #1: d93t71fu62ks7395a110 · Test #2: d93tv0mvtlqs73ftkh80. Preregistered protocols, outcomes, and corrections remain public.
STK-Flux
Working toolWhen is a human–AI working session losing clarity or narrowing a person’s choices?
Human–AI work can drift before anyone notices that choices have narrowed. A traceable signal could make that shift visible in time to respond.
- Evidence and limits
- If an alert cannot be traced to observable behavior or does not help a person choose a corrective action, it has not shown practical value. The public source exposes the rules for inspection.
- Public record
- Public source and documentation
PDOT
Registered · pilots documentedCan changes in a human–AI conversation be measured when the conditions shift?
As AI enters more decisions, people need to recognize when an interaction changes their clarity, intent, or room to choose, and whether they can recover.
- Evidence and limits
- If these measures cannot be scored reliably or do not behave as registered when conditions change, the proposed interpretation needs revision. The registered plan governs that decision; no confirmatory outcome is claimed here.
- Public record
- OSF registration · 17 May 2026
PDOT studies interaction measures and recovery after conversational change. It does not test AI consciousness, subjective experience, or affiliation. Its registration and pilot record are public; this site makes no confirmatory result claim.
