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Fiverr Pro
English
$
USD
I will build chatbase integration ai chatbot for website support and lead generation
Dennis S
About this gig
Stop losing visitors to slow response times. I build high-converting, context-aware AI chatbots using Chatbase trained strictly on your data. Whether for 24/7 support deflection or lead capture that books discovery calls on autopilot, your bot stays on-brand with strict anti-hallucination guardrails.
I structure your docs/FAQs, craft custom system prompts with fallback logic, design lead-capture micro-flows, and wire webhooks to your CRM (HubSpot, GHL) or calendar (Calendly). Every embed script is mobile-optimized and hardened against prompt drift or off-topic steering.
You get a production-ready assistant with clean handoff documentation and a walkthrough video. Message your URL below and let's turn static traffic into a 24/7 conversational revenue engine.
Get to know Dennis S
Dennis S
AI Chatbot Chatbase Website AI
- FromGermany
- Member sinceJun 2026
Languages
German
Turn website traffic into 24/7 booked calls and qualified leads with custom AI chatbots built on Chatbase, Voiceflow, and Make.com. I engineer zero-hallucination knowledge bases from your docs, FAQs, and CRM (HubSpot/GHL), deploying human-like, brand-aligned assistants to Webflow, Shopify, or WhatsApp in 48–72 hours. No robotic IVR loops—just conversion-focused AI that works while you sleep. DM your site URL for a free 2-minute teardown.
FAQ
How do you prevent the AI chatbot from hallucinating or promising unauthorized discounts, pricing, or refund terms?
I implement multi-layered system prompt constraints, explicit negative-constraint anchoring ("Never invent policies, SLAs, or discounts not explicitly anchored in the knowledge base"), and automated semantic fallback triggers
What structural fallback protocol executes when a user query hits a multi-intent grey area or triggers an off-topic pivot?
The bot evaluates semantic confidence thresholds. If confidence drops below safe bounds, it bypasses generic guessing, executes a graceful context bridge, and fires an asynchronous webhook/Slack notification to your team with the session transcript while retaining conversation continuity
How is zero-PII compliance and GDPR data minimization managed across vector embeds and third-party webhook payloads?
Chatbase manages encrypted vector chunking, while outbound webhook payloads (via Make/Zapier) enforce field-filtering to strip sensitive browsing artifacts before hitting CRM/calendar endpoints.
