#提示词工程
143 related articles
Build a Custom Fitness App in 20 Minutes with AI — Ditch the Spreadsheet Patchwork
See how Kyle Skelly uses Claude Code and Mobbin MCP to build a custom fitness management app in ~20 minutes with one prompt — replacing spreadsheets and scattered tools.
The AI-Native Era: Let LLMs Break Down Requirements Using DFS Thinking
How can LLMs break down requirements on their own? This article unpacks a DFS-based methodology — using tree-structured questioning, pruning, and convergence to get more precise outputs from large models.
Replicating the Viral Hotel Lobby Video: A Full Breakdown of the AI Agent Recipe
Learn how to replicate viral hotel lobby videos with an AI Agent. This full breakdown covers asset prep, Minimax H3 Max on Fal.ai, and prompt labeling tips.
80K Text-to-Image Prompt Dataset: A Practical Approach to Testing AI Models and Character LoRAs
An open-source dataset of 80K+ text-to-image prompts on HuggingFace, with a ComfyUI workflow for batch testing AI models and character LoRAs. A practical evaluation tool.
Stop Teaching GPT-6 Astra How to Think: The New Generation of Prompts Should Define Boundaries and Manage Costs
After GPT-6 Astra launched, old prompts may be dragging down performance. Learn the new prompt framework: define boundaries not thinking, plus the 272K cost threshold and Skill file principles.
SJTU Open-Sources 'Hands-On AI': From API Calls to RAG and Agent Development
SJTU Professor Zhang Zhuosheng's team open-sources 'Hands-On AI' — a practical tutorial covering API calls, prompt engineering, RAG, and Agent development from scratch.
MiniMax H3 in Practice: Recreating the "Desktop Girl" Video with Ultra-Long Prompts
A Reddit user used MiniMax H3 to recreate the "Desktop Girl" video with ultra-long structured prompts. We analyze the prompt engineering and reveal AI video generation limits.
MiniMax H3 in Action: 3 Pages of Comics, 28 Seconds of Animation
A Reddit user used MiniMax H3 to turn 3 comic pages into a 28-second 2D fantasy animation. This breakdown reveals the structured prompt engineering behind it — character consistency, speaker mapping, shot design, and sound — showing how AI video generation is becoming controllable.
Graph Engineering: The AI Workflow Design Method That Goes Beyond Prompts
Graph Engineering is the next evolution beyond prompt engineering. Learn how to break complex AI tasks into planners, parallel researchers, skeptics, and merge steps — with a practical 3-level implementation path from manual to LangGraph automation.
Migrating from Opus to Self-Hosted Ollama: Lessons Learned with a 35KB Prompt
Lessons learned migrating a 35KB preprompt from Anthropic Opus to self-hosted Ollama: context truncation, model capability gaps, template compatibility, and a migration checklist.
MiniMax H3 Video Reference Replacement: A Practical Prompt Engineering Tutorial
MiniMax H3 video reference replacement tutorial: why uploading a reference video isn't enough, and how to use shot-by-shot prompts, character anchoring, and style separation to precisely transfer motion.
Jules AI Autonomous Agent Prompt Library: Let AI Optimize Your Codebase Around the Clock
The open-source project Jules-Google-AI-autonomous-agents offers copy-paste prompts for deploying autonomous AI agents to continuously optimize, harden, and enhance your codebase.
No Fine-Tuning Required: Building a Human-Like Chatbot with System Prompts
No fine-tuning needed: a Reddit veteran shows how system prompts alone can turn Qwen, DeepSeek, and Gemma into human-like chat personas. A breakdown of the 3-step framework.
Deep Dive into OpenAI's Official GPT-5…
Deep Dive into OpenAI's Official GPT-5.6 Prompting Guide: The Shift from Manual to Automatic
A deep dive into OpenAI's official GPT-5.6 Sol prompting guide: conciseness-first, outcome-oriented design, autonomy boundaries, tool routing, and reasoning intensity tuning.
TutorialsLangChain Few-Shot Prompt Templates in Practice: A Complete FewShotPromptTemplate Tutorial
Learn LangChain FewShotPromptTemplate: core parameters, implementations for text completion and chat models, and practical use cases like batch file renaming to reduce LLM hallucinations.
TutorialsWhat Is an Agent Skill? A Complete Guide to Core Structure and Customization
A detailed guide to Agent Skill's core principles and four key components (skill.md, references, scripts, assets), covering file structure, differences from prompts, and customization methods.
TutorialsZion No-Code Platform: A Complete Hands-On Tutorial for Building AI Agents with Drag-and-Drop
Learn how Zion's no-code platform lets you build AI agents via drag-and-drop, with a hands-on prompt optimization assistant tutorial covering knowledge base integration, UI building, and API access.
TutorialsLyra Prompt Optimizer Guide: Generate High-Quality Prompts with Meta-Prompts
A detailed guide to Lyra Prompt Optimizer's methodology and practical usage. Its four-stage framework helps you generate structured, high-quality prompts through conversational guidance.
TutorialsCore Methodology of Prompt Engineering: Principles, Techniques, and Complete Practical Guide
Deep analysis of Prompt Engineering core methodology: from LLM principles to the three key principles of specific, rich, and unambiguous prompts, plus programming advantages in the AI era.
TutorialsBatch AI Image Generation on Mac: Lessons Learned from Generating 10,000+ Illustrations
Practical guide to batch AI image generation on Mac using Draw Things, covering prompt iteration strategies, negative prompt pitfalls, performance tips, and the decision to switch to Replicate cloud platform.