About PayPilot
Inspiration
Online payments have become a regular part of everyday life, but managing orders, understanding payment issues, tracking refunds, and investigating failed transactions can still be confusing. I wanted to build more than a basic payment integration — I wanted to create an intelligent payment assistant that makes transaction management easier, more transparent, and easier to understand.
That idea led to PayPilot, an AI-powered payment assistant that combines payment processing, intelligent order insights, and activity tracking in one application.
What I Built
PayPilot is built using Next.js, TypeScript, Prisma, SQLite, PayPal Sandbox, and an AI integration.
The application brings together several capabilities:
Payment and Order Management: Browse products, manage carts, create orders, and process payments through the PayPal Sandbox.
AI-Powered Order Insights: An AI agent can explain order and payment-related issues using recorded events, refund reasons, and webhook logs. It is designed to rely on available records rather than inventing explanations.
Activity Dashboard: A dedicated /activity page tracks agent tool calls, PayPal API interactions, transaction statuses, and webhook events.
Webhook Verification: Records verified and rejected webhook events to improve payment visibility and debugging.
Refund Context: Stores refund reasons so that relevant information can be used when explaining order outcomes.
How I Built It
I developed PayPilot incrementally, breaking the project into eight implementation stages.
I started with the application foundation, database schema, and product catalog. Then I implemented cart and order management, followed by PayPal payment integration and the payment confirmation flow.
After that, I worked on webhook verification and the AI layer. The AI order-insights feature uses actual application records to explain what happened with an order. Finally, I built the activity dashboard to make system operations and payment-related events easier to monitor.
I also focused on maintainability by separating application logic into reusable components and services, adding automated tests, documenting the architecture, and preparing deployment configuration.
Challenges and What I Learned
One of the biggest challenges was connecting multiple systems while keeping their responsibilities clear. Payment processing, database operations, webhook events, and AI-generated explanations all need to work together without compromising reliability.
Some important lessons came from this process:
AI needs context: An AI assistant should explain what the application can verify, not confidently guess when information is missing.
Payments require traceability: Logging API calls, transaction statuses, and webhook events makes debugging much easier.
Good architecture matters: Separating business logic from API handlers makes the application easier to test and extend.
Testing is essential: I added automated tests throughout development and used them to catch issues as features were integrated.
Deployment is part of development: Preparing the application for hosting made me think beyond local functionality, especially about environment variables, database configuration, and production reliability.
The project also taught me how to approach a larger application systematically: plan features, implement them in stages, test each layer, and document the result.
What's Next?
I want to continue improving PayPilot by strengthening its production readiness, expanding its AI-assisted troubleshooting capabilities, and exploring more advanced payment analytics.
PayPilot is my attempt to make payment management not just functional, but intelligent, transparent, and easier to trust.
Built With
- ai
- ai-agents
- automated-testing
- database-management
- fintech
- full-stack-development
- generative-ai
- javascript
- llm
- next.js
- node.js
- openai-api
- payment
- payment-integration
- paypal
- paypal-sandbox
- prisma
- react
- real-time-updates
- rest-api
- software-engineering
- sqlite
- tailwind-css
- typescript
- webhooks
