Building a Well Completion Advisor App with Claude Code | Jaiyesh Chahar | CrowdField Podcast EP11

In this episode of O&G AI: Builders, Agents & Workflows, I sit down with Jaiyesh Chahar, Machine Learning Engineer at Zensar. We go hands-on with an end-to-end agentic workflow to build and deploy a Well Completion Advisor web app in real time, using natural-language interaction with Claude Code. The challenge: Engineering tools typically require development skills to build. Translating a domain problem into a working app is slow and fragmented. Deployment and iteration eat into time that should go to engineering. Jaiyesh walks through how Claude Code can: Define the engineering problem and app logic through natural-language prompting Generate and structure Streamlit code from scratch Build the completion recommendation workflow interactively Set up the project repository on GitHub Deploy the app to Hugging Face Spaces Test and iterate on the final deployed application in minutes This is a practical demonstration for subsurface professionals and technical teams who want to see what AI-assisted engineering workflows actually look like in practice, combining domain expertise, agentic coding, and rapid deployment into a functioning tool. Watch the full conversation to see how fast you can go from a blank screen to a deployed well completion tool. Hosted by Alan Mourgues, Founder at CrowdField. --- 🔧 Follow CrowdField on LinkedIn for tools, insights, and practical O&G workflows you can actually use:   / crowdfield   🌐 Explore CrowdField for more tools and products built for subsurface professionals: https://www.crowdfield.net/ 🔔 Please give us a hand by subscribing to the channel. You'll get notified when new content drops.