ZeroTrain Core Concepts

ZeroTrain is a deterministic decision engine built on explicit knowledge modeling. It does not learn, predict, or approximate. It executes defined intent with mathematical consistency.

The following concepts define how ZeroTrain operates.

1. Deterministic Inference

ZeroTrain guarantees that identical inputs produce identical outputs. There is no randomness, probability weighting, or runtime reinterpretation.

• No training cycles
• No model drift
• No hidden state changes
• Fully repeatable outcomes

2. Knowledge Models

ZeroTrain operates on structured knowledge models. A model defines features, conditions, logical operators, and actions.

• Features represent structured input fields
• Conditions define comparisons and thresholds
• Operators define logical relationships (AND, OR, XOR, MUST)
• Actions define deterministic outcomes

3. Structured Confidence

ZeroTrain produces a confidence score based on structural alignment — not statistical probability.

• Confidence reflects rule satisfaction strength
• It does not represent prediction likelihood
• It is derived from deterministic evaluation

4. Execution Logic Trace

Every decision can produce a detailed execution trace. This trace explains exactly which conditions were evaluated and how the final outcome was determined.

• Operator-level visibility
• Condition-level evaluation results
• Fully inspectable reasoning path

5. Separation of Definition and Runtime

Knowledge definitions remain stable and explicit. The runtime engine executes those definitions without modifying them.

• Definitions do not change during execution
• Inference is controlled and transparent
• Behavior changes only when the model changes

6. Engine Portability

ZeroTrain models can execute across multiple deployment surfaces while preserving identical deterministic behavior.

• In-memory .NET execution
• Cloud-hosted API execution
• Power Automate integration
• Portable ONNX-compatible exports

When ZeroTrain Is the Right Choice

ZeroTrain is designed for systems that require:

• Deterministic automation
• Explicit control over decision logic
• Audit-ready reasoning
• Non-probabilistic AI behavior

If your system cannot tolerate ambiguity or drift, ZeroTrain provides a stable, inspectable decision foundation.