Build AI agents that survive production: security, observability, cost control and scale. Working code for every lesson.
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Start Here: Ship a Production-Safe AI Agent in 5 Days
By day 5 you'll have an agent with a layered security architecture, validated tool calls, persistent memory, rate limits and cost caps, and the hardening most demo agents never get. Each lesson takes about an hour and links to working code...
Day 03: Typed Tools, and Errors the Agent Can Recover From
Where we are
Day 02 gave Relay a loop with one tool and hard caps. Any tool failure ended the run, and the 60 refund tickets were handed to humans because Relay could not touch billing. Today the orange boxes appear: typed tools.
Th...
Day 02: The Agent Loop From Scratch
Where we are
Day 01 gave us a 250-task bench and a baseline: 36.0% success and 60 customers told “refunded” when nothing was refunded. Today the orange boxes appear, an agent loop and a model adapter.
The problem
Ask the Day 01 age...
Week 6: Vector Databases & Retrieval
Introduction
Introduction
Day 01: Measure Before You Build
Where we are
Nothing exists yet, and that’s on purpose. Today we build the ruler before we build the thing we’ll measure with it.
The orange box is today’s agent. The dashed slots above it are the tools, memory, and protocols we’ll plu...
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Authors
The writers behind this newsletter.
AI Agent Roadmap — a structured, hands-on path from LLM fundamentals to deploying production-grade multi-agent systems. Most engineers know AI Agents are coming. Fewer know how to actually build them.
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