Freelancers using Kling AI in Catania
Freelancers using Kling AI in Catania
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Andrea Privitera
Catania, Italy
AI, Make Automation expert, Vibe Coder
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AI, Make Automation expert, Vibe Coder
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Make Scenario Aether Mind, a self world creator AI powered based on user input. It will create a video, store the scenario in a spreadsheet for future reference. Create a picture for reference, audio, video with sound then merge all together and store the final file in a Google drive. Can be used externally with a Tally.so (https://Tally.so) form ready to go. Future modification could be implementing a user loaded reference image. Auto upload to Social platform. Long video format.
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AI Inbox & Booking Assistant for SMB Operations My role. AI Systems Architect & Automation Engineer Project description. Built a cloud-based AI assistant workflow that handles incoming inquiries, drafts contextual replies, and supports booking coordination with human approval before send. The system keeps persistent context for services, tone of voice, and active follow-ups, so responses remain consistent over time. Designed for daily operational use with clear approval checkpoints, auditability, and phased expansion into CRM and reporting workflows. Skills and deliverables Automated Workflow AI Chatbot n8n PostgreSQL OpenAI API
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Documentation & Reporting Copilot for Internal Teams My role. AI Workflow Engineer Project description. Implemented an AI copilot for recurring internal documentation and structured reporting. The solution retrieves approved context from selected data sources, generates template-based drafts, and supports revision loops before final approval. This reduced repetitive manual writing and improved consistency across recurring reports. Delivery included workflow design, retrieval strategy, quality checks, and rollout guidance for team adoption. Skills and deliverables AI Content Creation Business Process Automation LangChain Data Integration Prompt Engineering
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My role. AI Solutions Developer Project description. Designed and deployed a multi-user AI assistant workspace with role-based permissions, shared project memory, and approval-driven execution for sensitive actions. The system supports team collaboration without context loss by structuring memory across user, project, and organization levels. Included governance controls such as action logging, approval queues, and phased autonomy rules to keep operational risk controlled while scaling usage. Skills and deliverables AI Development Network Access Control API Integration PostgreSQL SaaS Development
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