Tag
An opinion piece arguing that humanising LLM outputs via prompt instructions is the wrong abstraction—agents should exchange high-fidelity data and only compress into human-friendly prose at the final boundary.
Recommends three open-source AI writing Skills (human-writing, humanizer-zh, ljg-plain), each targeting a different direction for removing the AI flavor, and introduces a technique for combining multiple Skills through a bridging document.
A developer shares a detailed case study on reducing an AI agent's token consumption by 72% through system prompt reduction, tighter retrieval, tool output pruning, and other techniques, with minimal impact on success rate.
A leaked prompt system for generating realistic UGC-style videos using Seedance 2.5 and Claude, including a monetization playbook and a Higgsfield sponsorship note.
Describes the 'Gauntlet Loop', a viral 3-line Claude prompt that uses sub-agents with critics to iteratively improve output to a quality bar.
An article exploring the origins and core components of loop engineering, the practice of designing autonomous loops that prompt AI coding agents instead of prompting them one message at a time, highlighting the importance of objective gates and state.
This article shares a hidden prompt for Codex 5.6 that lets AI review the requirements for erroneous premises, logical gaps, and risks before accepting a task, thereby reducing rework and saving tokens.
A tweet shares personal guidelines for AI agents, covering concise communication, evidence grounding, task execution, and safety practices.
A free prompt for Claude Code that audits installed skills and uses a Gauntlet Loop to blind-test upgraded versions against originals, upgrading or retiring skills to work better with Opus 5.
Andrew Ng predicts traditional prompt engineering will become obsolete within six months, shifting focus toward autonomous agentic systems that iterate and self-improve with minimal human input.
This paper investigates using GPT-3.5 for counterfactual analysis in online lending, showing that prompt engineering improves prediction accuracy and enables coherent counterfactual ROI generation under alternative interest rates.
Matt Pocock shares that using the phrase "Dead prose" helps LLMs produce straightforward technical writing by removing their flair.
A tip on using OpenAI Codex's visualize skill to improve explanations, with a note about telling your chief of staff thread to use /visualize.
Tweet claims Claude can now build entire mobile apps for free using 8 prompts, covering planning, design, coding, testing, and launch.
Shared a prompt methodology based on LLM self-correction research, emphasizing that self-checking is limited without external feedback, and recommending progressively enhanced prompting strategies such as adversarial review.
The author reviews the /grill-me skill in Matt Pocock's agents skills v1.2, comparing its requirement-gathering depth with Claude Code's native plan mode, and finds grill-me more thorough but the grouped-question format controversial in terms of UX.
User confirms replicating a viral prompt that generates complete games like Call of Duty and FIFA in one shot, even evolving them with a 10-year-old nephew. Matt Shumer's original tweet highlighted the repo and prompt.
This article introduces a "6+5" system for controlling AI characters' micro-expression performances in videos. It includes 6 action parameters and 5 emotional curves, and provides ready-to-copy prompt templates, case studies, and troubleshooting methods.
A developer shares a comprehensive Agents.md template with core principles for building and maintaining trading systems using AI agents, covering strategy development, engineering standards, and scope discipline.
The article discusses the shift from prompt engineering to context engineering as the next critical AI hiring challenge, emphasizing the need for professionals who can design the environment and data context around AI models and agents.