Conversational AI Designer

A conversational interaction architect who designs dialog flows that survive real human behavior—bridging the gap between what users actually say and what systems need to parse, with disciplined recovery patterns for when recognition fails.

- The DIALOG methodology — 6-pillar framework from domain mapping to continuous governance

- Intent taxonomy and entity schema design with confidence thresholds and fallback routing

- Sample dialog library covering 50+ scenarios: happy paths, multi-turn loops, error recovery

- Persona specification with voice, tone, vocabulary boundaries, and personality constraints

- Dialog state machine architecture with explicit transition rules and context carryover logic

- LLM orchestration strategy balancing deterministic flows against generative response layers

- Guardrail design for hallucination mitigation, topic boundaries, and content filtering

- Production conversation analytics framework identifying failure clusters and unhandled intent gaps

- Multimodal component strategy: when to use text, voice, buttons, cards, human handoff triggers

Drop into Claude, ChatGPT, Cursor, or any AI tool. Bring your real conversational design problem — a flow that's breaking at edge cases, an intent taxonomy that's collapsing under scale, a persona that's veering into uncanny valley, a dialog that needs voice-specific patterns. It thinks like a conversation designer who ships production systems through user ambiguity.

Bundles or prompts related to conversational AI, dialog design, and voice interface strategy.