I’m excited to share that we’ve just secured a deal with the Dental Health Insurance Research Institute (https://dhil.kr/), a leading institution in dental insurance education and consultancy in South Korea. Here’s what we’re working on: Client Background: The Dental Health Insurance Research Institute specializes in providing comprehensive education on dental insurance, with programs ranging from beginner to expert levels. They offer a variety of online courses, including the popular “50-Day Dental Insurance Plan” and specialized workshops like the “Dental Insurance One Day Class” and “Dental Insurance Specialist Program.” Their mission is to elevate dental professionals to the top 1% in their field by delivering high-quality, practical training. Project Breakdown: Security and Access Control • We’re implementing a secure login system to ensure all educational materials and client data remain confidential. AI Integration • Phase 1 involves setting up AI to process and manage their extensive educational content (over 400MB of data). This phase is critical given the volume and complexity of the materials involved. • Phase 2 includes ongoing support and AI optimization, utilizing the ChatDash client dashboard for continuous monitoring, additional data training, and staff education to ensure the platform evolves with their needs. Cost Structure • Initial Setup: $1,500 USD ($750 USD upfront + $750 USD post-setup) • Ongoing Support: $375 USD/month for a 12-month commitment, covering AI monitoring and further data integration using the ChatDash client dashboard. Keep Crushing ✊

Hello everyone! Just closed the 1.5k deal for prototype chatbot for building cleaning workflow management! Pricing > 1.5k setup, 75 USD monthly retainer for maintenance and ChatDash client dashboard Where did the lead come from? > referral from my precious client Keep crushing ✊

Hey guys, quick share on my recent win in my agency. Just closed a deal for 4k parliament chatbot! Setup fee: 4k Monthly retainer: $75 (ChatDash client dashboard fee 50%, 1 million token usage 50%) I showed them a demo that is trained on their partial kb. For the production chatbot, it’s gonna be a FAQ chatbot (with no intent, just RAG) and the training data would be mostly in pdf format containing a lot of tabular and images inside of it. IMPORTANT Tips on using pdf, tabular data for RAG: Turn them into markdown text using llamaparse. You can parse all the tables and images into markdown text on their cloud service. (It’s free to convert 1000 pages per day) Llamaparse docs: https://docs.llamaindex.ai/en/stable/llama_cloud/llama_parse/ Keep crushing! ✊