#提示词工程
138 related articles
Cognition SWE-2 in Practice: One Prompt to Handle the Whole Product Launch Process
Analyzing a YouTube creator's prompt for using Cognition SWE-2 to launch a product: a landing page, seven-email sequence, and non-buyer follow-up tool, plus how the 'test and report' constraint changes AI delivery quality.
Prompt Engineering for Beginners: From Vague Instructions to Precise AI Control
What's the difference between prompts and prompt engineering? This Bilibili course explains four functions of prompts, the six-step engineering process, and three technical limits.
Build a Real Estate Listing Presentation with ChatGPT in 12 Minutes
Break down a 12-minute ChatGPT workflow for generating a four-page listing presentation: agent brief, value proposition, marketing plan, communication protocol, pricing framework, and UK/US/Canada/Australia compliance rules.
341 Code Animation Style Prompts Released Free and Open Source — DeepSeek Can Do It Too
A Bilibili creator open-sourced 341 code animation style prompts across 10 categories, with an offline webpage for search and list export. DeepSeek tested to approach Opus 5.5 at about one yuan per segment.
Which AI Model Is the Most Verbose? I Built a "Yap Benchmark" to Find Out
Someone built the Neural Yap benchmark to quantify AI model verbosity across filler phrases, typographic symbols, formatting, and answer length. GPT models are most concise, Claude Opus 5.5 yaps most—but the real factor is the harness and how well models follow system instructions.
Claude Opus 5.5 Takes On 3D Animation: Generating the "Dodaios" Short From Scratch, With Stunning Results
Claude Opus 5.5 generates the one-minute 3D animated short "Dodaios" from scratch under a strict prompt—no templates or code audio, pure animated storytelling. We analyze the prompt design, the result, and its impact on 3D content production.
The Most Comprehensive Jailbreak Collection on GitHub: A Deep Dive into togg53192-cmd/jailbreaks
A deep dive into the popular GitHub repository togg53192-cmd/jailbreaks: a jailbreak prompt collection with 4,842 stars, 775 forks, and 890 stars gained in a single day. We explore its content organization, community response, and AI safety implications.
5 Claude Prompts to Build Web Apps with Zero Code
A YouTube creator shares 5 Claude prompts paired with Artifacts for zero-code web app building: from a 10-feature spec, single-page Tailwind UI, local storage, and QA edge-case testing to an agents.md automated acceptance gate, with a full breakdown of the approach.
The AI Comic Drama Hit Formula: A Four-Line Checklist and a Full Doubao Walkthrough
Final Bilibili hit-breakdown episode: a four-line AI comic drama formula combining script, character, emotion, and hook, with a live Doubao walkthrough, five validation criteria, and upscaling/storyboard tips.
How Can Prompts Unlock AI Creativity? A Case Worth Watching Repeatedly
Starting from a tweet, this piece explores how prompt design unlocks LLM creativity, analyzing prompt engineering layers, model capability ceilings, and practical takeaways for content creators.
Prompt Engineering for Beginners: From Writing Prompts to Building AI Collaboration Skills
From the four functions of prompts to the six-step prompt engineering process, this article systematically covers core concepts, business value, and three layers of limitations to help beginners build a complete cognitive framework for prompt engineering.
Bilibili Hit Tutorial: Prompt Engineering from Beginner to Practical — A Complete Breakdown
A systematic breakdown of prompt engineering based on a Bilibili tutorial: from prompt definitions and primacy/recency effects, to prompting differences between reasoning and general models, plus five principles for high-quality prompts with hands-on screenshots—suitable for beginners and advanced learners.
The Complete Guide to Prompt Engineering: High-Quality Prompt Design from Beginner to Expert
A systematic guide to prompt engineering: the nature and importance of prompts, OpenAI's six strategies, differences between reasoning and general models, and five principles of high-quality prompt design.
Vibe Coding Systematic Tutorial: Master AI-Assisted Programming from Zero
A three-month Vibe Coding tutorial from a Bilibili creator covering Codex, ClaudeCode, and Cursor, from core logic to commercial project practice for beginners.
AI-Generated UI Micro-interaction Prompt Library: A New Show HN Tool
A Hacker News Show HN project, UI micro interactions prompts for AI, offers an AI-oriented collection of interface micro-interaction prompts to help developers generate hover, transition, and loading animations via prompts, filling the gap where AI writes UI for function but not experience.
Prompt Failures? The Truth About Why AI Agents Struggle in Production—and How to Fix It
A Reddit developer built Agents with Copilot and Gemini but faced unstable behavior. This article analyzes three gaps in prompt engineering for Agent scenarios and offers three practical paths to reliable Agent deployment, including structured prompts, workflow-first approaches, and building an evaluation loop.
The 12 Core Principles of AI Agents Explained Clearly: From Messages to Multi-Agent Systems
How do AI Agents actually work? This zero-barrier guide explains 12 core principles: Message data structure, statelessness and context windows, System Prompt, Chain of Thought (CoT), Few-shot, pre-fill, stop sequences, tool-calling protocols, RAG, the ReAct loop, hallucination suppression, and multi-Agent orchestration—building a complete fundamental understanding of Agents.
Build a Price-Reduction Negotiation Guide with ChatGPT in 10 Minutes: 10 Talk Tracks + 5 Objection Handlers
Learn how to use ChatGPT to generate a property price-reduction conversation guide in 10 minutes: a six-element market brief, 10 talk tracks, and 5 objection handlers.
Two Prompt Rules Take a Lightweight Model from 35% to 64% on Oracle Text-to-SQL
In the UniQL benchmark, lightweight Gemini 2.5 Flash with schemagate used just two Oracle dialect prompt rules to raise first-attempt accuracy from 35% to 64.5%, beating Claude Sonnet 4.5's 49.6%. This article analyzes failure attribution and evaluation insights.
PromptBase or Gumroad? A 30-Day Channel Experiment to Help You Decide
PromptBase or Gumroad for selling AI prompts? Use a 30-day channel experiment framework covering discovery traffic, per-order contribution, acceptance rate, and platform rule dependency to make data-driven channel decisions.