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Prompt design

35 articles · Page 1 of 1
AI Architecture Hub
AI Architecture Hub
Jul 13, 2026 · Artificial Intelligence

Practical Prompt Guide for ChatGPT, Work, and Codex

This guide explains how to craft effective prompts for ChatGPT, ChatGPT Work, and Codex by defining clear goals, providing background, specifying output formats, setting boundary rules, leveraging linked data sources and plugins, personalizing settings, and iteratively refining results with concrete examples for daily conversation, office tasks, and code scenarios.

AI workflowChatGPTCodex
0 likes · 18 min read
Practical Prompt Guide for ChatGPT, Work, and Codex
Xike
Xike
Jul 1, 2026 · Artificial Intelligence

How Skill Packages Turn AI Agents into Scenario Experts

The article explains how reusable Skill packages encapsulate domain knowledge, standard workflows, and output formats to enable AI agents to act professionally in specific contexts, addressing token efficiency, team conventions, and seamless integration with Loop, Harness, Context, Tool Use, and MCP.

AI agentsContext EngineeringPrompt design
0 likes · 15 min read
How Skill Packages Turn AI Agents into Scenario Experts
AI Architecture Hub
AI Architecture Hub
Jun 13, 2026 · Artificial Intelligence

How Anthropic Engineers Turn Claude Code into a Core Engineering Tool

Anthropic engineers restructure their AI Agent workflow so Claude Code moves from a simple code‑generation assistant to a central component that interviews requirements, uses HTML for visual specifications, and embeds verification directly into the product, dramatically cutting token waste and rework.

AI AgentAnthropicClaude Code
0 likes · 9 min read
How Anthropic Engineers Turn Claude Code into a Core Engineering Tool
DeepHub IMBA
DeepHub IMBA
Jun 1, 2026 · Artificial Intelligence

The Essence of Prompt Engineering: Roles, Tasks, Context, Format, and Constraints

Prompt engineering designs inputs for large language models by combining clear intent, relevant context, explicit format, and constraints, turning ambiguous queries into reliable, high‑quality outputs through a structured, iterative process illustrated with concrete examples and advanced techniques.

AI communicationLLM reliabilityLarge Language Models
0 likes · 23 min read
The Essence of Prompt Engineering: Roles, Tasks, Context, Format, and Constraints
ArcThink
ArcThink
May 27, 2026 · Artificial Intelligence

Why Context Size Isn’t Everything: A Practical Guide to AI Agent Context Engineering

The article explains that an AI agent’s performance hinges not on how much context is fed to it but on what information is placed in the main thread, and it presents a six‑layer framework—prompt, rule files, skills, MCP, subagents, and artifacts—to systematically engineer context for reliable coding agents.

AI agentsContext EngineeringMCP
0 likes · 18 min read
Why Context Size Isn’t Everything: A Practical Guide to AI Agent Context Engineering
James' Growth Diary
James' Growth Diary
May 26, 2026 · Artificial Intelligence

8 Prompt Elements That Can Triple Your GPT Image 2 Output Quality

The article presents a systematic eight‑element prompt framework—subject, environment, composition, lighting, style, tone, details, and purpose/size—that, when applied to GPT Image 2, can dramatically improve image fidelity, consistency, and suitability for specific uses.

AI image generationGPT Image 2Prompt Engineering
0 likes · 13 min read
8 Prompt Elements That Can Triple Your GPT Image 2 Output Quality
Java Tech Enthusiast
Java Tech Enthusiast
May 26, 2026 · Artificial Intelligence

Why Interviewers Should Ask About Harness Engineering – Distinguishing It from Prompt and Context Engineering

The article explains how AI is evolving from simple chat interactions to production‑grade workflows by progressing through Prompt Engineering, Context Engineering, and finally Harness Engineering, detailing their distinct goals, practical examples, step‑by‑step processes, and why Harness is essential for building controllable, auditable AI systems.

AI workflowContext EngineeringHarness Engineering
0 likes · 21 min read
Why Interviewers Should Ask About Harness Engineering – Distinguishing It from Prompt and Context Engineering
Shuge Unlimited
Shuge Unlimited
May 22, 2026 · Artificial Intelligence

Why Does Hermes Agent’s Sub‑10‑Line Loop Enable Self‑Evolution?

This article dissects Hermes Agent v0.14.0, revealing its three‑layer prompt architecture, a concise sub‑10‑line conversation loop, tool auto‑discovery, installation options, configuration pitfalls, security measures, and deployment best practices that together enable a self‑evolving AI agent framework.

AI AgentConfigurationHermes Agent
0 likes · 18 min read
Why Does Hermes Agent’s Sub‑10‑Line Loop Enable Self‑Evolution?
Fun with Large Models
Fun with Large Models
May 22, 2026 · Artificial Intelligence

How to Rigorously Evaluate Large Models: Methods and Key Benchmark Datasets

This guide explains why systematic evaluation is essential for large models, outlines three core evaluation approaches—human assessment, benchmark‑dataset testing, and automated judge models—introduces the most widely used benchmark suites, and shows how to use the open‑source EvalScope framework and prompt‑design techniques to conduct reliable model assessments.

EvalScopePrompt designautomated judge
0 likes · 17 min read
How to Rigorously Evaluate Large Models: Methods and Key Benchmark Datasets
Wuming AI
Wuming AI
Apr 28, 2026 · Artificial Intelligence

Why Searching for an AI PPT Tool Is Futile: Build Your Own Reusable Visual Style with GPT‑Image 2

The author explains that most AI PPT generators fail to deliver consistent visual style, reliable Chinese text, and easy editing, and shows how GPT‑Image 2 combined with a custom‑defined visual style and a reusable Skill can reliably produce high‑quality, style‑consistent slides without complex prompts.

AI image generationPPT automationPrompt design
0 likes · 7 min read
Why Searching for an AI PPT Tool Is Futile: Build Your Own Reusable Visual Style with GPT‑Image 2
Smart Workplace Lab
Smart Workplace Lab
Apr 23, 2026 · Artificial Intelligence

Think Standard Scripts Solve It? Uncover the Real Issue with High‑EQ AI Prompt Tuning

The article explains why using formal, standard language makes AI‑generated workplace messages sound robotic and presents a three‑step protocol—high‑quality phrase extraction, persona‑mapping prompts, and forbidden‑word rules—to feed the model with emotionally intelligent corpora for more natural communication.

AI Prompt EngineeringPrompt designWorkplace AI
0 likes · 5 min read
Think Standard Scripts Solve It? Uncover the Real Issue with High‑EQ AI Prompt Tuning
James' Growth Diary
James' Growth Diary
Apr 17, 2026 · Artificial Intelligence

Advanced System Prompt Design Patterns & Few-Shot Techniques for Reliable LLM Outputs

This article breaks down System Prompt engineering into a five‑layer contract, presents four design patterns—role anchoring, output schema, chain‑of‑thought steering, and guardrails—explains how to select effective few‑shot examples, provides production‑grade prompt templates with code snippets, and warns about common pitfalls such as token length, sample bias, and contradictory constraints.

AIFew-shotLLM
0 likes · 16 min read
Advanced System Prompt Design Patterns & Few-Shot Techniques for Reliable LLM Outputs
Qborfy AI
Qborfy AI
Apr 14, 2026 · Artificial Intelligence

How to Give AI a Map, Not an Encyclopedia: Mastering Context Engineering

This article explains why AI can only act on information that appears in its context window, outlines the twin problems of missing data and overload, and presents a practical methodology—including AGENTS.md maps and LangChain's LocalContextMiddleware implementation—to engineer concise, searchable context for reliable agent behavior.

AIContext EngineeringLangChain
0 likes · 29 min read
How to Give AI a Map, Not an Encyclopedia: Mastering Context Engineering
AI Tech Publishing
AI Tech Publishing
Apr 4, 2026 · Artificial Intelligence

Become a World-Class Agent Engineer: Master Context, Rules, and Termination Conditions

This guide explains how to become a world‑class Agent engineer by managing context bloat, defining clear rules and skills, separating research from implementation, using neutral prompts, and writing explicit termination contracts, while emphasizing that the final results remain the developer’s responsibility.

Agent EngineeringClaudeCodex CLI
0 likes · 17 min read
Become a World-Class Agent Engineer: Master Context, Rules, and Termination Conditions
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Mar 7, 2026 · Artificial Intelligence

Master Prompt Engineering: Craft Precise Prompts to Unlock LLM Power

This guide breaks down prompt engineering for large language models, explaining why clear, detailed prompts matter, how to define types, avoid ambiguity, use constraints, examples, role‑playing, long‑context techniques, chain‑of‑thought reasoning, and provides ready‑to‑use templates for various scenarios.

AIArtificial IntelligenceChatGPT
0 likes · 88 min read
Master Prompt Engineering: Craft Precise Prompts to Unlock LLM Power
Qborfy AI
Qborfy AI
Mar 4, 2026 · Artificial Intelligence

Build a Personal AI Prompt That Saves You Time Every Session

The article explains how to create a personal AI prompt—called a Master Prompt or Personal OS—by documenting identity, goals, style preferences, and using it each session, with step‑by‑step guidance, examples, and tips for automating the creation and adapting it to multiple roles.

AI Prompt EngineeringAI workflowChatGPT
0 likes · 8 min read
Build a Personal AI Prompt That Saves You Time Every Session
AI Architecture Hub
AI Architecture Hub
Mar 3, 2026 · Artificial Intelligence

Unlocking Claude Agent Skills: Architecture, Design Principles, and Scalable Management

This article provides a comprehensive, source‑level analysis of Anthropic's Claude Agent Skills, detailing their definition, progressive disclosure design, meta‑tool architecture, full execution flow, SKILL.md specifications, token‑optimised packaging, design patterns, and enterprise‑grade operational practices for scaling from a few to dozens of skills.

Agent SkillsClaudePrompt design
0 likes · 26 min read
Unlocking Claude Agent Skills: Architecture, Design Principles, and Scalable Management
Yunqi AI+
Yunqi AI+
Feb 23, 2026 · Artificial Intelligence

Effective Prompt Writing Techniques for Human‑AI Collaboration

Prompt engineering serves as the bridge between humans and AI, requiring cognitive decomposition, instruction engineering, and model alignment; the article outlines essential skills, precise language, scenario adaptation, iterative optimization, ethical safeguards, symbol conventions, template examples, tuning tools, FAQs, and learning resources.

AI collaborationPrompt EngineeringPrompt design
0 likes · 12 min read
Effective Prompt Writing Techniques for Human‑AI Collaboration
Tencent Cloud Developer
Tencent Cloud Developer
Jan 14, 2026 · Artificial Intelligence

Turn Simple Text into Detailed AI Image Prompts: A Step‑by‑Step Guide

This guide explains how to use advanced AI models such as Gemini, Midjourney, and Stable Diffusion to expand brief, informal user descriptions into comprehensive, high‑quality English prompts that include visual style, subject details, environment, lighting, and camera parameters for image or video generation.

AI Prompt EngineeringMidjourneyPrompt design
0 likes · 14 min read
Turn Simple Text into Detailed AI Image Prompts: A Step‑by‑Step Guide
DevOps Coach
DevOps Coach
Dec 24, 2025 · Artificial Intelligence

Unlock AI Creativity with Verbalized Sampling: The 8‑Word Prompt Trick

A recent Stanford‑led study reveals that asking large language models for multiple responses with associated probabilities—using just eight words—restores lost creativity caused by post‑training alignment, and the article explains why it works and how to apply it.

AI AlignmentLarge Language ModelsPrompt Engineering
0 likes · 11 min read
Unlock AI Creativity with Verbalized Sampling: The 8‑Word Prompt Trick
Wu Shixiong's Large Model Academy
Wu Shixiong's Large Model Academy
Dec 6, 2025 · Artificial Intelligence

How to Engineer Industrial‑Scale Function Call Data for AI Agents

This article explains why handcrafted SFT data fails for function‑call agents, introduces a controllable data‑sandbox approach, details label and variable design, shows code for seed generation and full dialogue synthesis, and demonstrates how the resulting dataset improves model routing, multi‑turn handling, tool sequencing, and error resilience.

AI-agentPrompt designdata-engineering
0 likes · 12 min read
How to Engineer Industrial‑Scale Function Call Data for AI Agents
ShiZhen AI
ShiZhen AI
Dec 2, 2025 · Artificial Intelligence

What Is a Prompt? Mastering Question Techniques for Better AI Results

Episode 4 of the Comic‑AI series explains that a prompt is the art of formulating precise questions to guide large language models, covering content and format constraints, positive and negative prompting, and showing how specific instructions lead to more predictable AI behavior.

AIAI InteractionLarge Language Models
0 likes · 3 min read
What Is a Prompt? Mastering Question Techniques for Better AI Results
Xiaolong Cloud Tech Team
Xiaolong Cloud Tech Team
Dec 1, 2025 · Artificial Intelligence

Why a ‘Skill Engineer’ Could Soon Become a Standard AI Role

The author demonstrates how to convert an OCR API specification into a reusable Skill using Claude’s Skill Creator, explains the advantages of Skill’s hierarchical exposure over traditional MCP prompts, outlines a three‑step workflow, and argues that such capabilities may spawn a new ‘Skill Engineer’ position in AI teams.

AIClaudeOCR
0 likes · 5 min read
Why a ‘Skill Engineer’ Could Soon Become a Standard AI Role
Data Party THU
Data Party THU
Aug 12, 2025 · Artificial Intelligence

Unlocking Chain-of-Thought: How AI Reasoning Boosts Accuracy Across Domains

Chain‑of‑Thought (CoT) enables large language models to solve complex tasks by breaking problems into sequential reasoning steps, improving accuracy in mathematics, commonsense, code generation, business strategy, and medical diagnosis, while highlighting its principles, advantages, challenges, and future prospects.

LLMPrompt designchain-of-thought
0 likes · 13 min read
Unlocking Chain-of-Thought: How AI Reasoning Boosts Accuracy Across Domains
Code Mala Tang
Code Mala Tang
Feb 16, 2025 · Artificial Intelligence

17 Proven Prompt Engineering Techniques to Master LLM Interactions

This article presents 17 practical prompt‑engineering strategies—ranging from zero‑shot and few‑shot prompting to role, style, and chain‑of‑thought methods—explaining their usage, ideal scenarios, and concrete examples to help you obtain higher‑quality responses from large language models.

Artificial IntelligenceChatGPTLLM
0 likes · 14 min read
17 Proven Prompt Engineering Techniques to Master LLM Interactions
Alibaba Cloud Developer
Alibaba Cloud Developer
Feb 5, 2025 · Artificial Intelligence

10 Common Prompt Engineering Mistakes and How to Overcome Them

This article lists ten common misconceptions about prompt engineering, explains why each is flawed, and offers practical insights and strategies—such as using the CO‑STAR framework, tailoring prompts to specific models, keeping prompts concise, and continuously testing and refining—to help readers communicate effectively with large language models.

AI misconceptionsLLMLarge Language Models
0 likes · 10 min read
10 Common Prompt Engineering Mistakes and How to Overcome Them
JD Cloud Developers
JD Cloud Developers
Nov 11, 2024 · Artificial Intelligence

Mastering Prompt Engineering: History, Techniques, and Real-World Applications

This article explains what Prompt Engineering is, traces its evolution from early NLP commands to modern adaptive and multimodal prompting, details core techniques such as Zero‑shot, Chain‑of‑Thought, Auto‑CoT, and reduction of hallucinations, and showcases a logistics case study using various prompting strategies.

AILLMPrompt Engineering
0 likes · 26 min read
Mastering Prompt Engineering: History, Techniques, and Real-World Applications
DaTaobao Tech
DaTaobao Tech
Aug 16, 2024 · Artificial Intelligence

Effective Prompt Design for Large Language Models

Effective prompt design for large language models requires clear goals, relevant context, explicit input/output formats, evaluation criteria, and illustrative examples, combined with specific language, step‑by‑step instructions, edge‑case handling, ethical considerations, and proper tokenization, encoding, decoding, and post‑processing to produce accurate, concise, low‑hallucination responses.

AILarge Language ModelsPrompt design
0 likes · 33 min read
Effective Prompt Design for Large Language Models
New Oriental Technology
New Oriental Technology
Apr 19, 2024 · Artificial Intelligence

Effective Prompt Engineering for Large Language Models

This article explains how large language models work, why well‑crafted prompts are essential, and presents practical strategies—such as clarity, conciseness, focus, role‑setting, delimiters, few‑shot examples, and step‑by‑step instructions—to help users obtain accurate and relevant responses from AI systems.

AILLM strategiesPrompt Engineering
0 likes · 12 min read
Effective Prompt Engineering for Large Language Models
DaTaobao Tech
DaTaobao Tech
Aug 2, 2023 · Artificial Intelligence

Prompt Engineering: Concepts, Frameworks, and Best Practices

The article surveys prompt engineering for large language models, detailing frameworks such as ICIO, BROKE, CRISPE, TRACE, COT and ToT, outlines best‑practice principles, provides diverse template examples, addresses common response issues with mitigation tactics, and lists learning resources and a Java refactoring case study.

AIPrompt EngineeringPrompt design
0 likes · 23 min read
Prompt Engineering: Concepts, Frameworks, and Best Practices
Python Crawling & Data Mining
Python Crawling & Data Mining
Jun 4, 2023 · Artificial Intelligence

Master Prompt Engineering: Unlock ChatGPT’s Full Potential

This article explains why crafting good prompts matters more than memorizing facts, introduces prompt engineering for large language models, and provides practical techniques—such as diverse prompting strategies, problem restatement, background provision, gradient prompting, role‑playing, and systematic evaluation—to help users get the most out of ChatGPT and similar AI systems.

AIChatGPTPrompt Engineering
0 likes · 16 min read
Master Prompt Engineering: Unlock ChatGPT’s Full Potential
JD Retail Technology
JD Retail Technology
May 10, 2023 · Product Management

Using ChatGPT 4.0 to Boost Product Manager Efficiency: Methods, Prompts, and Case Studies

The article outlines how ChatGPT 4.0 can significantly improve product managers' workflow across research, planning, design, project execution, and iteration by providing prompt engineering techniques, practical examples, and actionable recommendations while emphasizing security and information‑risk considerations.

AI Prompt EngineeringChatGPTOperations
0 likes · 31 min read
Using ChatGPT 4.0 to Boost Product Manager Efficiency: Methods, Prompts, and Case Studies
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
May 6, 2023 · Artificial Intelligence

The Art of Asking ChatGPT for High‑Quality Answers – A Complete Guide to Prompt Engineering

This article translates Ibrahim John’s book on prompt engineering for ChatGPT, explaining a wide range of prompting techniques—including instruction, role, seed‑word, zero‑shot, few‑shot, and reinforcement‑learning prompts—through clear English descriptions, formulas, and illustrative examples to help readers obtain high‑quality model outputs.

Artificial IntelligenceChatGPTPrompt Engineering
0 likes · 32 min read
The Art of Asking ChatGPT for High‑Quality Answers – A Complete Guide to Prompt Engineering
NewBeeNLP
NewBeeNLP
Feb 7, 2023 · Artificial Intelligence

Mastering ChatGPT Prompt Engineering: Principles, Steps, and Real-World Examples

This article provides a comprehensive guide to ChatGPT prompt engineering, covering background concepts, design principles, step‑by‑step workflows, diverse use‑case examples, model limitations, and references to key research papers, helping readers craft effective prompts for various NLP tasks.

AIChatGPTNLP
0 likes · 30 min read
Mastering ChatGPT Prompt Engineering: Principles, Steps, and Real-World Examples