Scientific Computing and Scientific AI.

Additional section

Scientific AI Validation Checklist

Builds a validation protocol for scientific AI, simulations, imaging models or analytical workflows.

Best for

Scientific validation protocol

Input

8 categorical evidence fields

Output

Scientific validation protocol

Method

validation protocol

Maturity

Beta · v1.2

Limits

Not medical advice.

Exports

copy, Markdown, JSON

Reproducibility Risk Mapper

Scores whether a study or model result has enough artifacts to be reproduced or independently checked.

Best for

Reproducibility risk map

Input

7 categorical evidence fields

Output

Reproducibility risk map

Method

validation protocol

Maturity

Prototype · v1.5

Limits

Does not reproduce the result.

Exports

copy, Markdown, JSON

Scientific Reproducibility Scorecard

Creates a reproducibility scorecard for datasets, code, environments, evaluation protocols and reporting completeness.

Best for

Scientific reproducibility scorecard

Input

7 categorical evidence fields

Output

Scientific reproducibility scorecard

Method

radar

Maturity

Research interface · v1.7

Limits

Does not run replication.

Exports

copy, Markdown, JSON

Formal Specification Readiness Checker

Assesses whether a system has enough state, invariants, interfaces and failure modes for formal specification work.

Best for

Formal specification readiness note

Input

6 categorical evidence fields

Output

Formal specification readiness note

Method

validation protocol

Maturity

Research interface · v1.9

Limits

Does not write the formal spec.

Exports

copy, Markdown, JSON

Frontier AI Evaluation Planner

Plans capability, safety, robustness and deployment evaluations for frontier or agentic AI systems.

Best for

Frontier AI evaluation plan

Input

6 categorical evidence fields

Output

Frontier AI evaluation plan

Method

validation protocol

Maturity

Prototype · v2.1

Limits

Does not run model benchmarks.

Exports

copy, Markdown, JSON