prompt engineering

“To be honest, I'm almost developing a phobia of bananas. I created a prompt telling Gemini never to use the term "Nano banana," but it still used it.”

“This article uses ChatGPT Plus plan.”

“The article uses the term 'people weak at verbalization' not as a put-down, but as a label for those who find it challenging to articulate thoughts and intentions clearly from the start.”

“The article highlights the development process and the behind-the-scenes of 'prompt engineering' to infuse personality and ethics into the AI.”

“Let me know if it helps, would love to see the kind of images you can make with it.”

“With tools like ChatGPT and Gemini, creating such images is a snap!”

“The article's content (submitted by /u/reversedu) would contain the key insights. Without the content, a specific quote cannot be included.”

“What if instead of manually firefighting every drift and miss, your agents could adapt themselves? Not replace engineers, but handle the continuous tuning that burns time without adding value.”

“Claude Code is a valuable tool, but its automatic compacting can disrupt workflows. The article aims to solve this by warning users before the context window exceeds the threshold.”

“I used it for SLAVE recruitment, as I like LUNA SEA and Luna Kuri was decided. Speaking of SLAVE, black clothes, speaking of LUNA SEA, the moon...”

““Soon, the most valuable skill won’t be coding — it will be communicating with AI.””

“This approach shifts the focus from directly instructing to collaboratively exploring the knowledge space, ultimately leading to higher quality outputs.”

“By converting history to Markdown and feeding the same prompt to multiple LLMs, you can see your own 'core issues' and the strengths of each model.”

“These ideas are not born out of malice. Many come from good intentions and sincerity. But, from the perspective of implementing and operating LLMs as an API, I see these ideas quietly destroying reproducibility and safety...”

“The post discusses a prompt design approach that works backward from the finished product.”

“Modern LLMs have extremely high versatility. However, the default 'polite and harmless assistant' UX often becomes noise in accelerating the thinking of professionals.”

“The interesting point of this model is that you can specify how the voice is read (tone/emotion) with a prompt.”

“ChatGPT and Claude users face the challenge of fragmented tools and output formats, making it difficult to export conversation histories seamlessly.”

“”

“"AntiGravityで書いてみた感想 リリースされたばかりのAntiGravityを使ってみました。 WindSurfを使っていたのですが、Antigravityはエージェントとして自立的に動作するところがかなり使いやすく感じました。圧倒的にプロンプト入力量が減った感触です。"”

“"Your AI, is it your strategist? Or just a search tool?"”

“The management of 'what to feed the AI (context)' is as serious as the 'memory management' of the past, and it is an area where the skills of engineers are tested.”

“詳解します。”

“「このコード直して」「いい感じのキャッチコピー考えて」と、その場しのぎの「便利な道具」として使っていませんか？”

“You've hit your limit ・ resets xxx (Asia/Tokyo)”

“Now the interface is just language. Instead of learning how to do something, you describe what you want.”

“Everyone sleeps on Gemini's image generation. I gave it a 2,000-word forensic geology prompt, and it nailed the handwriting, the specific hematite 'blueberries,' and the JPL stamps. Midjourney can't do this text.”

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

“Overall, the findings demonstrate that carefully designed prompt-based strategies provide an effective and resource-efficient pathway to improving open-domain dialogue quality in SLMs.”

“Experiential results show that LLMs can reliably convert natural language into structured robot actions; after applying prompt-engineering templates instruction-parsing accuracy improves significantly; as task complexity increases, overall accuracy rate exceeds 88.9% in the highest complexity tests.”