Prompt engineering cannot enforce business rules. Agents ignore docstring instructions, confirm bookings without payment, and accept invalid parameters—because prompts are suggestions, not constraints.

In this session, I'll compare two approaches: prompt-only rules vs neurosymbolic integration where symbolic validation executes at the tool level.

I'll build a travel booking agent where business rules (payment verification, guest limits, prerequisite checks) are enforced through verifiable code the LLM physically cannot bypass.
The result: consistent business rule compliance regardless of how creative the prompt.

Walk away with a practical pattern for combining LLM
flexibility with deterministic rule enforcement, applicable to any domain with compliance requirements.

You'll leave with working Python code and production patterns you can deploy immediately.