AI Production Readiness Checklist: Why LLM Prototypes Fail and How to Fix Them
An AI production readiness checklist: why LLM prototypes fail, and how to check evaluation, failure handling, observability, security, cost and rollout.
Engineering
6 articles
From PoC to Production: An Honest Engineering Timeline
An honest breakdown of why AI proof-of-concept projects take longer than expected to reach production, and how to plan realistically.
Designing AI-Powered APIs: Patterns and Pitfalls
Learn practical patterns for building reliable AI-powered APIs, from streaming responses and validation to observability and cost control.
Building a Multi-Agent AI System That Actually Works in Production
What the multi-agent AI demos leave out: probabilistic failures, state management, cost control, and how to make autonomous agents reliable in production.
Prompt Engineering at Scale: Moving Beyond Hacks
Move beyond ad hoc prompts with versioning, testing, observability, and systems that make prompt engineering reliable at scale.
RAG vs Fine-Tuning: How to Choose the Right Approach for Your LLM
Understand when to use retrieval-augmented generation or fine-tuning, with practical trade-offs for production LLM applications.