Integrating AI in Modern Web Applications
Practical approaches to incorporating machine learning into web development.
By Escose Technologies | Sep 2025 | AI/ML
Introduction
Integrating AI into web apps blends UX, performance, and governance. Start from user value and constraints.
Integration Patterns
- Hosted vs. Self-Hosted: Trade-offs in latency, privacy, and cost.
- Feature Stores: Consistent features across training and inference.
- Evaluation Sets: Track drift and quality regression post-launch.
Monitoring and Ethics
- Guardrails: Prompt filters, content policies, and abuse prevention.
- Observability: Capture prompts, responses, and latencies.
- Feedback Loops: Human review for continuous improvement.
Conclusion
Ship a focused AI feature, measure usage and quality, then iterate responsibly.