I wanted to build a real-world application with RocketRide rather than just a simple AI demo, so I created ClaimDesk, an AI-assisted insurance claim intake and analysis application.
ClaimDesk allows claims adjusters to upload vehicle damage photos and provide a description of an accident. The application then uses a RocketRide pipeline to:
Analyze the vehicle damage
Analyze the written accident description
Compare the image and text analysis
Generate a structured claim report
I also integrated Ollama for local model execution and created a local startup workflow that launches the required dependencies, models, RocketRide pipeline, webhook connection, and web application together.
What I Learned
Building ClaimDesk showed me that AI applications require many of the same software engineering practices as traditional applications. I had to think about architecture, debugging, integrations, and creating structured outputs and environments for my application to be reproducible.
Overall, working with RocketRide gave me a better understanding of how agentic AI can be integrated into real software applications rather than being used as a standalone model.
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