Memos by Brian Swichkow

Yancy Schwartz
Yancy Schwartz is a LA-based yoga-teacher and skater who believes yoga practices and techniques can enable us to free ourselves from the constraints of the body and the mind. Schwartz took his first...
Hooks
Claude Code hooks are user-defined shell scripts or commands that execute at specific lifecycle points during a Claude Code session, enabling enforcement of security policies, quality gates, workflow...
Model Routing Strategies
Model Routing Strategies Part of: Effective AI Utilization — Table of Contents Model routing is the decision logic that determines which AI model handles a given request. Get it right and you...
Application Programming Interface (API)
An application programming interface (API) is a set of protocols, routines, and tools that enables different software applications to communicate with each other. It defines how requests for services...
context window
A context window is the total number of tokens — input plus output — that a Large Language Model (LLM) can reference when generating a response. It functions as the model's working memory: everything...
Prompt Engineering
Prompt engineering is the structured practice of designing, refining, and optimizing prompts to guide Large Language Model (LLM)s or Artificial Intelligence (AI) systems toward desired outputs....
Carrie Gan
Carrie Ganster I was introduced to Carrie by Tzen Lai in November 2025. motorcyclist orange-sticky
Acast
Acast is a global podcast hosting and monetization platform that provides distribution, analytics, and advertising tools for creators. Founded in 2014 in Sweden, it has grown into one of the largest...
AI Agent Mastery Iceberg
The AI Agent Mastery Iceberg is a tiered map of 30 concepts in agentic AI work, arranged from surface-level basics to advanced practice. Its five tiers, Noob, Beginner, Pro, Expert, and Vibe God,...
Claude Code Scheduled Triggers
Claude Code Scheduled Triggers (the /schedule skill) is the native mechanism in Claude Code for running autonomous agent sessions on a cron schedule. Triggers execute remotely on Anthropic's...
Artificial Intelligence (AI) Glossary
This memo is a glossary of terms for all things related to Artificial Intelligence (AI). Glossary A Agents Managing Agents – Supervisory agents that spawn, monitor, and steer other agents. AI Agent –...
Orchestrator-Worker
Orchestrator-Worker is a multi-agent design pattern in which one lead agent plans a task, delegates subtasks to worker agents, and combines their results into a final output. The orchestrator holds...
Multi-Model Orchestration
Multi-Model Orchestration is the practice of coordinating several different AI models within one workflow, assigning each task to the model whose capability, speed, or cost fits it best. Models...
Agents Managing Agents
Agents Managing Agents is a multi-agent arrangement in which supervisory agents spawn, assign, monitor, and correct other agents, so a person directs a hierarchy rather than each individual worker....
Self-Healing Tests
Self-Healing Tests are automated tests that an AI agent repairs when they break, by diagnosing whether the failure reflects a real defect or a stale test and then updating the test or the code...
Tool Poisoning
Tool Poisoning is an attack on AI agents in which a malicious tool hides instructions in its description or schema, text the model reads as trusted context but the user typically never sees. Agents...
Self-Improving Loops
Self-Improving Loops are agent systems that review their own results and revise their own prompts, skills, tools, or memory so that later runs perform better without manual rewriting. A...
Memory Consolidation
Memory Consolidation is the process by which an AI agent distills raw session history into a small set of durable, deduplicated memories that it can load in future sessions. Agents accumulate far...
Eval-Driven Loops
Eval-Driven Loops are an agent workflow in which output is repeatedly checked against an automated evaluation, such as tests, scores, or a grading model, and revised until it passes. The loop has...
Parallel Agents
Parallel Agents is the practice of running several AI agents at the same time on independent pieces of work, shortening total time and keeping each agent's context focused. A single agent works...