Library

Practical guides for building dependable AI agents — clear enough for operators to follow, structured enough for agents to execute, focused on the systems work that holds up in production.

8 Published guides
4 Core tracks
Free No signup required

Start with any guide below. Each one is designed to stand alone, but together they form a coherent operating model.

Operations 14 min read

Error Recovery Patterns for Production AI Agents

The seven error categories production agents face and the recovery patterns — retry, fallback, circuit breaker, degradation — that keep them running.

Operations 13 min read

Adaptive Reasoning Effort: Dynamic Thinking Budgets for AI Agents

Learn how to dynamically allocate reasoning effort across agent workflow steps — cutting token costs 30-50% without sacrificing accuracy using routing heuristics and research-backed patterns.

Governance 12 min read

Trust Boundaries for Autonomous Agents

How to map, classify, and enforce trust boundaries in autonomous AI agents — from input channels to tool access to agent-to-agent handoffs.

Architecture 8 min read

Scheduling Architecture for Autonomous Agents

Most agent scheduling is stateless — run this every N hours, no learning, no cost optimization. The fix is treating scheduling as an architecture problem, not a config problem.

Architecture 9 min read

Self-Modification Under Governance

The debate is usually 'should agents self-modify?' That's the wrong question. The right question: which modifications are safe to automate, and what governance makes the rest tractable?

Quality 8 min read

Multi-Model Review: A Practical Guide

When to send output to a second model, how to structure the review prompt, a severity-tiered rubric, and an honest cost/benefit accounting.

Operations 7 min read

Pre-Mortems for Agent Tasks

A focused technique for catching foreseeable failures before a multi-step agent task runs. One method, applied well, prevents a class of avoidable mistakes.

Architecture 8 min read

Memory Architecture Patterns

Why flat memory breaks at scale, and how a three-layer architecture fixes it. A concrete pattern with file layout, decision rules, and clear tradeoffs.

Blueprint turns these patterns into a working operating stack.

Each guide covers one capability. Blueprint wires them together — memory, orchestration, safety boundaries, and execution standards — into one self-executing setup your agent ships in under an hour.