AI Conversational Architecture Generator

Visualize NLU, LLMs, dialogue policies, memory, and channel adapters for conversations

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Frequently Asked Questions

Common questions about ai conversational architecture generator

How do I mix deterministic and generative flows?

Route known tasks to scripted flows and fallback to LLM with guardrails for unknown intents. Keep a shared state store for both paths.

How is memory handled?

Use short-term session memory and long-term vector or key-value stores. Prune and summarize to fit context windows.

How do I support multiple languages?

Add language detection, translation, and locale-specific prompts. Store user locale and apply localized content and policies.

How do I ensure safety?

Add moderation on input/output, profanity filters, rate limits, and PII scrubbing. Include audit logs.

How do I evaluate conversations?

Track goal completion, sentiment, turn counts, fallback rates, and hallucination flags. Run spot checks with labeled transcripts.

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