Blog
Insights & Engineering Notes
Deep-dives into AI product engineering, agentic workflows, RAG systems, and full-stack architecture — written from the trenches.
Crafting Evaluation Frameworks for Scalable AI Products
Learn how to design robust evaluation frameworks for LLM-powered AI apps, covering pipelines, architecture, monitoring, and scaling.
Building Reliable AI Agents with Tool Calling
Learn how to design robust multi-step AI agents with effective tool orchestration to drive real-world, scalable workflows.
Building Legal Document Generators with AI Outputs
Streamline legal workflows with AI-powered document generation—covering contracts, compliance, and case research with precision.
Designing APIs for AI-Powered Backends with Next.js
Learn key API design principles for AI-driven backends, focusing on Next.js, TypeScript, and performance optimization strategies.
Comparing Vector Databases for Production AI Use
Evaluate the best vector databases—Pinecone, Weaviate, and more—for deploying scalable AI systems in production environments.
Why Data Quality is the Foundation of AI Success
AI thrives on high-quality data. Learn how to build robust data pipelines, ensure data quality, and drive better AI outcomes.
Automating Operations with Internal AI Tools
Discover how internal AI tools streamline document processing, customer service, and workflows for efficient business operations.
Building Performant Real-Time Features with Next.js
Learn how to architect modern real-time features with Next.js, React, and TypeScript for scalable, high-performance web applications.
Compliance Monitoring with NLP: Transforming Legal Workflows
Explore how AI-powered natural language processing is revolutionizing legal workflows, from compliance monitoring to contract analysis.