Most production AI systems are hybrids. They combine the flexibility of generative AI with the reliability of deterministic systems.

This is not a compromise. It's the right architecture. Each component does what it's good at.

Generative AI excels at:

• Interpreting varied, unstructured input
• Extracting meaning from messy data
• Generating natural language output
• Handling edge cases flexibly
• Adapting to context
• Explaining trade-offs in human terms

Deterministic systems excel at:

• Enforcing hard constraints
• Computing with precision
• Ensuring consistency
• Maintaining auditability
• Applying business rules
• Validating correctness

The architecture principle:

Gen AI proposes. Deterministic validates. Gen AI explains. Deterministic enforces.

The Gen AI is never the final authority on constrained outputs. It operates within guardrails. The deterministic systems are the guardrails.