Prompt Engineering

AI-written proposals and client replies always have that canned taste, and the problem usually isn’t a short prompt - it’s missing your own ‘business context.’ This post shows how to build a business context skeleton: a one-line company positioning, target audience, three words for tone, and words that should never appear - write it once, paste it every time, and turn AI’s output from generic to your own voice. Includes a copy-paste blank template and three ready-to-use scenarios: proposals, client replies, and monthly plans.

Why do copy-pasting popular office AI prompt templates often fail? Organizing 3 common failure patterns, a ready-to-use four-section fixed template, and timing suggestions for integrating usable ones into daily workflows.

The author compares Claude Sonnet with prompt-engineered Hermes 3 405B outputs through practical tests, proving that open-source models can reach 80% of commercial model quality in specific writing scenarios. Provides concrete System Prompt design principles for common issues like AI fluff, formulaic questions, and canned conclusions.

Claude Code Hooks is a powerful automation feature hidden in configuration files, divided into three types: PreToolUse, PostToolUse, and Stop. These hooks can automatically insert scripts before AI executes a tool, after execution, or when a conversation ends. This article walks you through the setup process and provides three practical examples to help developers implement dangerous command interception, automatic code formatting, learning summaries, and more.