prompting

"I tried something I noticed a bit, and the stability increased afterwards."

"What changed things for me wasn't learning more about AI, it was learning to use AI to fix my own prompts before I even submitted them."

"In this article, what you should especially keep in mind is the explicit specification of constraints."

"The latest AI reads between the lines incredibly well."

"It will only tell you that you are totally correct if your subsequent prompts are repetitions or paraphrased versions of its responses."

"Every prompt I've built follows the same skeleton: - Who are you ? (role/context) - What do you need? (specific task) - Constraints (what's in/out of scope) - Output format (exactly how you want it delivered)"

"By including a specific example of the desired JSON format (One-shot) at the end of the system prompt or user prompt, the AI recognizes that it should strictly adhere to this format."

"SRP is this idea analogically applied to LLM prompting (there is no strict correspondence)."

"Results also highlight significant performance inversion in reasoning models."

"SRP is not a method to directly produce "better answers." The core is in the boundary between "slightly bad" and "slightly good.""

"If you could use some help in the prompting department, Prompting Systems is here for you."

"This article explores the 5 principles that underpin effective prompt engineering."

"This 'instant SubAgent' opens up exciting possibilities for more dynamic and responsive AI systems."

"The article explores the official best practices document from Anthropic."

"The article hints at the importance of going beyond basic skills and acknowledging that there are underlying mental models which govern how we use AI tools."

"So my approach changed. I decided to build my skill using the same pattern: detailing my design principles but framing them in an evocative way to force Claude to deeply explore the task domain before any visual design is considered."

"It simulates critical thinking, not just the production of texts."

"Prompting is a skill, not an afterthought. Learn to ask clearer questions, define expectations, and guide the response — and suddenly, AI becomes far more powerful."

"Further exploration is needed!"

"The article is a reconfigured version of the author's Note article, focusing on the technical aspects."

"The author realized the problem wasn't with the AI, but with the assumption that writing rules would solve the problem."

"The article references the use of ChatGPT Plus, suggesting a focus on advanced features and user experiences."

"The article mentions an attempt to automate data shaping and auto-saving, implying a practical application of AI in data tasks."

"The author notes that evaluations of tools and LLMs often differ significantly between users, emphasizing the influence of individual prompting styles, technical expertise, and project scope."

""Claude is genuinely impressive, but the gap between 'looks right' and 'actually right' is bigger than I expected.""

"The actual problem is that when you don't give ChatGPT enough constraints, it gravitates toward the statistical center of its training data."

""Genuine Stupidity indeed.""

"After brainstorming with Claude I ended with this animation"

"How LLMs think step by step & Why AI reasoning fails"