CipherCraft
Transformation Analysis & Cipher-Based Reasoning Evaluation
CipherCraft is a framework for controlled transformation analysis and reasoning stress testing. It is used to evaluate how automated and operator-assisted reasoning systems behave under layered, adversarial, and non-obvious conditions.
CipherCraft does not benchmark models for performance or capability. It audits reasoning behavior.
What CipherCraft Is
CipherCraft is an application platform built to:
- Apply structured, reversible transformations to inputs and workflows
- Observe how reasoning systems respond under controlled distortion
- Surface failure modes that are invisible in normal prompting
- Produce auditable artifacts rather than subjective assessments
The goal is not to "break" systems for sport, but to understand how and where they fail.
What Problems CipherCraft Addresses
Many LLM evaluations focus on:
- Surface correctness
- Prompt performance
- Static benchmarks
These approaches often miss:
- Hallucinations that appear only under transformation
- Instruction-following failures masked by fluent output
- Self-consistency breakdowns
- Overconfidence without error detection
- Reasoning that collapses when structure is altered
CipherCraft is designed specifically to expose those behaviors.
How CipherCraft Works (Conceptually)
CipherCraft uses cipher-based transformation systems as a controlled experimental domain.
At a high level:
- Inputs are transformed through layered, reversible operators
- Transformations are instrumented and measurable
- Reasoning systems are evaluated before, during, and after transformation
- Results are compared against known baselines and controlled cribs
This allows analysis of:
- Stability under transformation
- Sensitivity to structure and order
- Error detection and recovery behavior
- Signal vs. noise discrimination
No training data. No secret prompts. No black-box scoring.
What a CipherCraft Audit Produces
A CipherCraft engagement produces concrete outputs, not impressions:
- Structured reasoning audit reports
- Identified failure modes and stress thresholds
- Examples of hallucination and instruction drift
- Comparative behavior under layered conditions
- Recommendations for mitigation and workflow design
These artifacts are suitable for:
- Internal review
- Risk assessment
- Tooling decisions
- Documentation and governance
Who CipherCraft Is For
CipherCraft audits are appropriate for:
- Teams deploying LLM-assisted workflows
- Organizations evaluating LLM vendors or models
- Engineers building reasoning-dependent systems
- Researchers interested in failure-mode discovery
- Product teams needing defensible insight, not hype
It is not a marketing benchmark and not a model leaderboard.
Relationship to Reasoning Review
Selected CipherCraft findings are published through Reasoning Review, a public research and reporting hub.
Reasoning Review:
- Documents structured reasoning audits
- Publishes anonymized or generalized findings
- Explores methodology and experimental design
- Serves as a transparency layer for the work
Client-specific audits remain private unless explicitly agreed otherwise.