ArchVizAI
This project involved the development of an autonomous AI-driven ecosystem for a B2B Telegram assistant. The system was designed to automate client briefing and lead qualification, reducing manual workload and improving data accuracy. I implemented multi-stage automation scenarios built in Make.com and integrated advanced AI persona logic utilizing Chain-of-Thought prompt engineering. The solution ensures seamless data synchronization between Telegram, webhooks, and Notion databases, featuring a custom UI/UX design for a professional user experience.
I designed and engineered the core automation logic using Make.com and developed high-precision AI prompts for structured data output in JSON format. My work included creating visual branding and interface assets in Figma and Photoshop alongside building a relational database architecture in Notion for lead management. I was responsible for the full-cycle testing and deployment of the autonomous bot to ensure a reliable and scalable product.
I designed and engineered the core automation logic using Make.com and developed high-precision AI prompts for structured data output in JSON format. My work included creating visual branding and interface assets in Figma and Photoshop alongside building a relational database architecture in Notion for lead management. I was responsible for the full-cycle testing and deployment of the autonomous bot to ensure a reliable and scalable product.