For four years, Mohamed Gaber’s career was anchored in the complex, high-stakes world of Oil and Gas Operations. That environment instilled in him a deep appreciation for efficiency, system reliability, and meticulous process control—skills that, surprisingly, are perfectly suited for the world of AI Automation.
Driven by a passion for technology and a deep dive into the future of AI, Mohamed decided to pivot. He recognized that his operational background could be powerfully applied to building the next generation of automation tools.
To prove this transition and blend it with a personal interest, he set out to build a tool to help with his other passion: tracking and analyzing gold investments.
⛏️ The Project: An Agentic AI to Automate Gold Price Analysis
Manual gold price tracking and market analysis require constant attention, a significant time sink that often delays crucial investment decisions. Mohamed’s goal was to create an Agentic AI that could manage this for him.
The core idea: Automate the detection of early stages of gold price surges or dips to provide timely, actionable insights.
The workflow is designed to fetch data daily, or even be triggered immediately by significant changes in gold prices, offering a huge advantage for investment needs.
🚧 Overcoming Workflow Challenges
Mohamed used an LLM (Claude) not just as a part of the final product, but as his co-developer to create the initial workflow. While powerful, the process of turning an LLM-generated concept into a functioning, reliable tool presented unique challenges:
The Elusive RSS Feed: One of the biggest hurdles was simply finding a reliable, consistently working RSS feed link for gold price data. It turned out to be more challenging than expected, requiring extensive research and iteration.
API Key Connection: Connecting the API Key to the workflow proved to be another point of friction. After struggling with standard connection methods, Mohamed successfully troubleshooted with Claude. The solution involved generating and implementing a custom Code Node within the workflow, which perfectly handled the API key validation and data retrieval.
By working step-by-step with the LLM to debug and refine the logic, the workflow became smooth, reliable, and started working exactly as intended.
📈 The Impact: Informed Investment, Less Time
Mohamed’s Agentic AI for Gold Price Analysis is now a powerful tool for any gold enthusiast interested in keeping up with market trends, whether they are veteran investors or just starting out.
By automating the laborious data fetching and initial analysis, the tool allows him (and potentially other investors) to:
⌛ Save Time: Eliminate the need for constant, manual tracking.
✅ Improve Timing: Gain visibility into early market indicators (surges or dips).
💪🏻 Increase Confidence: Base investment decisions on automated, objective analysis.
Future Enhancements
The next phase of the project involves tweaking the trigger points and adding personalization features to make the analysis even more accurate and reliable, tailoring it to the specific risk tolerance and needs of individual investors.
This project is a testament that specialized domain knowledge (like operational flow and market structure) combined with the power of Agentic AI and low-code tools allows anyone—regardless of their traditional engineering background—to build intelligent, high-value solutions.
💡 Why Companies Should Take Notice
Mohamed Gaber isn’t just a former operations specialist; he is a pragmatic automation builder who understands mission-critical processes.
By merging his deep operational expertise from the Oil and Gas sector with Agentic AI innovation, he is part of a new generation of automation specialists who:
Solve Real-World Problems: He uses AI to build tools that provide tangible, immediate value, successfully automating time-consuming and manual tasks like financial data analysis for investment needs.
Demonstrate Technical Tenacity: He possesses the persistence to troubleshoot and solve complex integration issues (like finding reliable data feeds and implementing custom code for API keys), moving beyond simple drag-and-drop to ensure workflow reliability.
Bridge Domain Knowledge and Tech: He leverages his industry experience (understanding the need for constant monitoring and reliability) to create accurate and robust AI solutions tailored to specific requirements.
Drive Strategic Transition: He proves that domain experts can successfully pivot into the AI space, using low-code/Agentic tools to become effective, autonomous builders of business solutions.
For companies aiming to integrate reliable, high-stakes automation, or those seeking talent capable of optimizing complex operational workflows using AI, Mohamed Gaber offers the unique blend of operational discipline and technical automation skill they need.
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