About Andy’s AI Playbook

About Andy's AI Playbook, the AI workflow, research, and implementation resource by Andy Agent Lab for AI users, builders, researchers, and technical teams.

Andy’s AI Playbook is an AI workflow, research, and implementation resource by Andy Agent Lab, written and maintained by Tamar Peretz.

The site publishes practical guides, prompt templates, governance policies, technical articles, and reference material for people who use, build, review, govern, or automate AI systems.

The research and article layer focuses on LLM security, AI agents, prompt engineering, model behavior, evaluation, governance, and evidence-based AI workflows. The workflow layer turns those ideas into reusable procedures, prompts, policies, reference material, and execution files.

Portrait of Tamar Peretz, author of Andy's AI Playbook

What this site publishes

Andy’s AI Playbook is organized around both explanation and execution. It includes:

  • Articles — technical analysis on LLM security, AI agents, prompt engineering, model behavior, evaluation, governance, and reliable AI workflow design
  • Guides — step-by-step procedures for AI work that needs a repeatable review or execution path
  • Prompts — reusable prompt templates, workflow prompts, components, and control blocks
  • Policies — operating rules for evidence boundaries, source requirements, output constraints, and fail-closed behavior
  • Reference — diagrams, platform placement maps, prompt-layer definitions, terminology, and supporting technical context

Who this site is for

The site is built for a broad AI audience, not only for researchers. It is intended for:

  • AI users who want more reliable results from tools such as ChatGPT, Claude, Gemini, and similar systems
  • people building AI agents, automations, API workflows, or tool-using systems
  • researchers and technical writers who need evidence-gated outputs and source-backed review paths
  • engineers, reviewers, consultants, and technical teams working with agentic systems, AI governance, or implementation review
  • professionals who need reusable workflows instead of one-off prompts

Core focus areas

The main focus areas are:

  • practical AI workflows for writing, research, review, planning, coding, governance, and technical decision-making
  • prompt engineering patterns for controlled and reusable execution
  • evidence-gated AI use, fact-checking, source verification, and citation discipline
  • AI agent security, trust boundaries, control-plane failures, tool use, and automation risk
  • architecture, memory, routing, orchestration, and tool-execution review
  • model behavior and evaluation topics where fluent output can be misleading without inspectable evidence

How the site is meant to be used

Use the site by choosing the layer that matches the task:

  1. Use Articles when you need the research context, technical rationale, or deeper explanation behind a problem.
  2. Use Guides when you need a repeatable procedure or workflow path.
  3. Use Policies when the task needs stricter source rules, evidence boundaries, output constraints, or fail-closed behavior.
  4. Use Prompts when you need reusable instructions, workflow prompts, or control components.
  5. Use Reference when you need platform placement, diagrams, terminology, or stable lookup material.

Operating orientation

Andy’s AI Playbook is built around a consistent operating orientation:

  • prefer inspectable evidence over fluent but unsupported output
  • make review paths explicit before execution
  • separate research context, procedures, rules, prompt templates, workflow files, and reference material
  • treat AI outputs as reviewable artifacts, not as authority by default
  • design workflows that can be reused, reviewed, and improved over time

Author and publisher

Andy’s AI Playbook is written and maintained by Tamar Peretz and published under Andy Agent Lab.

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