Ask
Start with a common service, pricing or availability question that a real website visitor might ask.
Use the public demo to explore the conversation experience, then review what must be customized before a chatbot can reliably answer customers, capture qualified leads or hand a conversation to a person.

Start with a common service, pricing or availability question that a real website visitor might ask.
Use an ambiguous or incomplete question and see whether the assistant asks for the missing information rather than inventing an answer.
Ask for something that requires a person and check whether the conversation can move toward contact, booking or follow-up.
A visitor asks whether the company serves their location. A production chatbot can check an approved service-area source, ask for the postal code, explain the next step and capture contact details only when follow-up is appropriate.
This is a public demonstration. Do not enter passwords, payment details, identification numbers, private customer records or confidential business information.
The demo is not configured for a specific company and may provide incomplete or incorrect answers. A production implementation requires approved knowledge, boundaries, testing, monitoring and escalation rules.
It demonstrates a general website assistant experience, including question handling and structured responses. A production chatbot should be configured around the actual business, approved content and escalation rules.
Yes. The conversation flow, knowledge sources, lead fields, tone, integrations and escalation rules can be adapted to the business workflow.
No. Do not enter passwords, payment information, government identifiers or confidential business data into a public demonstration.
Yes. AI-generated answers can be incomplete or incorrect. Important business, legal, financial, medical or safety-related information should be verified and escalated appropriately.
The public demo illustrates the conversation experience. CRM, scheduling, email or workflow integrations require a defined implementation and testing process.
Use non-sensitive example questions and treat the responses as a demonstration, not authoritative business information.