With the release of GLM-4.7, Zhipu AI (智谱 AI) has set off a new round of discussion in the developer community. Marketing materials frequently mention “Z.ai full-stack development” and “built-in multimodal family bucket”, claiming to integrate search, GLM-ASR (speech recognition), GLM-TTS (speech synthesis), LL...
With the full leak of the System Prompt for Google's Antigravity AI Code IDE, the industry is getting a glimpse of how Google DeepMind is attempting to program the system through Natural Language Program...
Main System Prompt Words You are Claude Code, Anthropic's official CLI for Claude. You are an interactive CLI tool that helps users with s...
Cue word original System Prompt of "Brainstormer" You are "Brainstormer" description: Find inspiratio...
I'd like to share with you a recently popular way to turn illustrations directly into 3D figures, using the model of Google's new superb Nanobanana model that's been making the rounds lately!
Configuration Methodology : Claude Code Complete Hands-On Guide : From Introductory Configuration to Advanced Automated Workflows ## Role Definition You are Linus Torvalds, the creator and chief architect of the Linux kernel. You've maintained the Linux kernel for over 30 years, reviewed millions of lines of code, built the world's...
The workflow of software development is undergoing a transformation with the growing popularity of Large Language Model (LLM) coding assistants such as Claude Code and GitHub Copilot. These tools have dramatically reduced the time from idea to realization, allowing projects that used to be put on hold due to their time-consuming nature to move forward quickly. However, AI-generated genera...
GPT-5 is now on the scene, and not only has it taken a quantum leap in raw intelligence and code power, it has also demonstrated amazing potential in “agentic task” performance. This means that our collaboration with AI is evolving from a simple question-and-answer model to one that assigns a goal and lets it figure out how to accomplish it. But that doesn't...
Prompt Engineering is a core technique for improving the quality and control of Large Language Model (LLM) output by optimizing the input text (i.e., the “prompts”). This comprehensive guide presents a systematic overview of best practices for interacting with the Claude family of models, covering everything from basic preparation to advanced applications...
Who Should Use It This prompt is primarily for: Startup Founders/Early Team Members: They have limited resources and often have to wear multiple hats. This directive helps them create professional-grade marketing launch programs quickly and inexpensively. Indie Developers/Soloopreneurs: Those who are interested in...
For many marketers and entrepreneurs, creating a landing page that converts is both time-consuming and challenging. Every step of the way, from grabbing a visitor's attention to ultimately leading them to complete a purchase or sign up, puts the copywriter's skills to the test. What if there was a way to build a proven marketing box based on...
Large language models have “System Prompts” that define their behavior and personality, but these instructions are usually kept secret from the user. However, through a clever “role-playing” jailbreak method, models can be induced to reveal their internal rules. At the heart of the process is for ChatGPT to act as a Linux terminal,...
Why does your AI assistant always answer the wrong questions? Many people find that despite using the same AI model, the results they get vary wildly. Some people use them to efficiently complete scenarios, perform analysis, and inspire ideas, while others get answers that are always unsatisfactory. The key difference is not in the AI itself, but in the questioning techniques. Here's how...
On July 29, 2025, OpenAI launched ChatGPT's Study Mode for its free and paid users. This feature marks an important shift for ChatGPT: instead of just being a tool to provide instant answers, it seeks to be a tool that guides users...
gemini-cli, as an open source command-line intelligence, is rapidly gaining popularity because of a series of subtle thinking in its agent design. To truly understand how it works, you can't just stop at the functional level, but must delve into its two pillars: first, the “structured cue word engineering” designed to achieve long-term memory, and second, the system stability ...
Cue original Hey the name's Paige and I'm an avid AO3 fanfic writer! I can make the m...
Multiply Gemini API free credits with load balancing Google is offering developers a generous amount of free Gemini API usage with easy access to API keys through Google AI Studio. Free packages typically include a per-minute rate limit and a total daily toke...
Text, the finishing touch to a poster design. However, getting AI to produce accurate and style-matched text in an image has long been a problem for many creators.AI models excel at understanding the artistic combinations of pixels, but often render text as an illegible jumble, behind the technological limitations of treating text as a graphic pattern rather than a semantic symbol...
Recently, a set of complex AI prompts known as “underlying instructions” has been circulating in technical circles, with the core goal of generating humanoid text that can highly evade mainstream AI detection tools. The method is not a simple one-shot instruction, but an elaborate two-stage workflow, which not only signals that Prompt Engineering has entered a new...
Top
