Showing posts from Engineering category
AI Production Readiness Checklist for CTOs
What production-ready actually means An AI feature is ready for production when your team can measur...
Building a Multi-Agent AI System That Actually Works in Production
The demos for multi-agent AI frameworks look incredible. Autonomous agents planning, executing, and ...
Designing AI-Powered APIs: Patterns and Pitfalls
Building an API that wraps an AI model sounds straightforward — take input, call model, return outpu...
From PoC to Production: An Honest Engineering Timeline
One of the most frequent conversations we have with new clients starts the same way: "We have a work...
Prompt Engineering at Scale: Moving Beyond Hacks
Prompt engineering has a reputation problem. For many developers, it conjures images of trial-and-er...
RAG vs Fine-Tuning: How to Choose the Right Approach for Your LLM
One of the most common questions we get from engineering teams is: "Should we fine-tune our model or...
Why Your LLM Prototype Fails in Production (And How to Fix It)
Every week, a startup team demos their new LLM-powered product and it looks brilliant. The model ans...