Build production AI systems step by step: agents, RAG, evals and reliability, with working code. By Sumedh.
| Platform |  | Pricing | Freemium | Publishes | Daily |
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| Issues | 218 | Founded | a year ago | Last Issue | 2 days ago |
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Lesson 27: Agreement Beyond Luck
Today we build:
Today we build:
The 4 layers that make a multi-agent AI system reliable
Your multi-agent system works in the demo. One agent understands the question, one retrieves context, one writes the answer, one checks it. Everyone's impressed.
Then it goes live, and four things happen within a month:
- Someone tweak...
Day 26: Calibrating the Judge Against Humans
Today we build:
Today we build:
Start here: 60-Day AI Engineering, Building an AI-Powered Quiz Platform
Knowing how to call an LLM API is easy. Building a product around one that survives real users is not.
In this 60-day course we build a complete AI-powered quiz platform. It generates questions with LLMs, checks them for quality, adapts di...
Start here: AI Reliability Engineering
Most AI tutorials stop when the demo works. This course starts there.
Over 90 lessons we build a real retrieval-and-answer system with multiple agents. Then we add what every production AI system needs and almost no tutorial teaches: evals...
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