
Divinefavour
AI Automation expert for your business
Compétences

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Portfolio
Expérience professionnelle
Self Employed
Freelance • 1 yr
AI Automation & MCP Integration Developer
Feb 2026 - Sep 2026 • 7 mos
Build customized AI automation solutions using Claude Code, API integrations, and Model Context Protocol (MCP) to connect AI capabilities with external tools, data sources, and business processes. I focus on designing structured workflows that enable AI systems to interact with supported services, process information, and execute defined tasks with appropriate validation and control. Key areas of expertise include: Creating custom Claude-powered agent workflows for specific business needs. Configuring MCP servers and tool integrations where supported. Connecting applications using REST APIs, webhooks, and automation platforms. Developing workflow automations with tools such as n8n and Make. Implementing input validation, error handling, and workflow testing. Documenting integrations and providing clear setup and handover guidance. Each solution is designed around the client's use case, existing software, technical requirements, and budget. I emphasize transparent implementation, clearly defined deliverables, and appropriate safeguards for sensitive data and consequential actions. The objective is to help businesses connect their existing tools, reduce repetitive processes, and use AI more effectively through customized, maintainable automation systems.
Claude AI Setup and Skills Consultant
Mar 2026 - Jul 2026 • 4 mos
I focus on helping users configure Claude AI tools and build reusable workflows for clearly defined tasks. My areas of work include Claude Code setup, custom Claude Skills, project instructions, workflow organization, and practical guidance on using Claude more effectively. I approach each task by first understanding the user's objective, current environment, and expected result. Based on those requirements, I help organize relevant instructions, configure compatible tools, and develop reusable Skills designed around specific recurring activities. I also emphasize testing and refinement. This includes checking whether the configured workflow performs the agreed task, reviewing outputs against the intended requirements, and adjusting instructions where necessary. For suitable projects, I can help assess supported MCP integrations and explain the setup requirements and limitations. Clear handover is an important part of the process. I aim to provide useful documentation or walkthrough guidance so users can understand their setup and reuse it with greater confidence. My approach prioritizes practical implementation, transparent communication, compatibility checks, and well-defined project scope. Each solution depends on the user's requirements, available tools, permissions, and technical environment. The objective is to make Claude setups more organized, reusable, and useful for everyday professional or personal tasks.
AI Workflow Automation Specialist
May 2026 - Jun 2026 • 1 mo
I specialize in configuring practical AI workflows that help individuals and businesses handle repetitive tasks more consistently and efficiently. My focus is on understanding a user's needs and translating them into structured instructions, reusable prompts, and workflows powered by generative AI tools. My work includes identifying tasks suitable for AI assistance, organizing workflow steps, developing clear prompts, testing outputs, and refining instructions to improve consistency. I aim to make AI workflows easier to understand, maintain, and reuse rather than relying on one-off prompts. I also focus on documenting workflow configurations and explaining how users can apply them to their everyday processes. Where appropriate, I explore integrations with compatible tools to support smoother workflows, subject to technical requirements and available access. My approach emphasizes practical problem-solving, clear communication, realistic expectations, and responsible use of AI. I consider the intended outcome, the user's existing tools, and the limitations of the environment before recommending or configuring a solution. The goal is to help users make better use of generative AI through organized, task-focused workflows that fit their actual needs.