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Pricing Plan
AI Chatbot
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Learn MoreLifecycle
Identify business bottlenecks and define the primary use cases and goals for the AI Chatbot.
Collect, clean, and structure data sources (PDFs, FAQs, docs) to build a robust foundation for the AI.
Design the AI's persona, tone of voice, and craft precise system prompts to guide its behavior.
Develop the conversational logic, implement Retrieval-Augmented Generation (RAG), and connect LLMs.
Simulate conversations, test edge cases, and refine the model to prevent hallucinations and errors.
Launch the chatbot across selected channels (Web, WhatsApp) and integrate with existing CRMs.
Analyze chat logs, gather user feedback, and continuously update the knowledge base to improve accuracy.
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