Blog & Deep Dives
Real-world patterns from building production AI systems,
full-stack apps, and mobile products.
Agentic AI vs Traditional Automation: What's Actually Different (With Real Code)
The real technical difference between traditional automation and agentic AI — with production code from a voice campaign platform calling 1000+ leads per day.
Generative AI in Production: Lessons From Building 3 AI Products
5 hard lessons from shipping 3 AI products in 18 months — prompt versioning, latency, cost control, hallucination mitigation, and observability.
LLM Tool Calling in Production: The Complete Developer Guide
A practical guide to OpenAI function calling in production — tool schema design, the execution loop, Zod validation, error handling, and 5 design principles.
Prompt Engineering Patterns That Actually Work in Production
7 prompt engineering patterns I use in production AI systems — three-layer prompts, chain of thought, Zod output constraints, persona anchoring, context compression, temperature tuning, and prompt versioning.
The Future of AI Agents: A Developer's Guide to 2025 and Beyond
6 trends defining the future of AI agents in 2025 — multi-agent systems, vector memory, voice AI, structured output, observability, and what it means to be an AI-fluent developer.