Practical recipes for crafting prompts, building assistant personas, chaining model calls, and embedding AI into everyday workflows with test examples.
Welcome — Make AI assistants you can trust and reuse. Teams waste time on endless prompt fiddling and brittle assistants because they start with vague goals instead of testable behaviors. This playbook helps you design prompts, personas, and workflows that reliably produce the outputs you need — and that you can test...
Guide: Design High-Value Prompts — principles, patterns, and examples. Good prompts do three things: they (1) reduce ambiguity about intent, (2) provide relevant context or constraints, and (3) define what success looks like. This guide turns those principles into patterns you can apply across roles. Core principles...
Reference: Persona Templates & Prompt Blueprints. Copy and adapt these short persona templates. Each includes a system role, a compact task instruction, output format, and guardrails. 1) Customer Support Agent (Tier 1). System: "You are a courteous customer-support agent. Keep replies concise, cite policy sections...
Guide: Workflow Chaining Patterns — reliable multi-call designs. Many practical assistants require more than a single prompt. Chaining model calls or combining models with tools and retrieval improves reliability and keeps outputs modular. This guide explains patterns, trade-offs, and tests for chains. Patterns...
Checklist: Prompt & Assistant Testing. Use this checklist when validating a prompt or assistant before wider deployment. Functional correctness Does the assistant produce the required fields or format on >90% of test inputs? Are outputs factually consistent with provided context or retrieval snippets? Robustness and...
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