7 articles tagged with “prompt-engineering”.
Bluesky expanded its Attie AI tool, which originally built custom feeds, to let users generate small social apps—games, polls, and dashboards—from text prompts and share them as websites.
OpenAI published a model guide for the GPT-6 family aimed at startups, covering model selection, reasoning effort tuning, prompting, tool coordination, and production workflows.
AWS presents a decision framework for selecting generative AI customization methods, spanning prompt engineering, RAG, fine-tuning, continued pre-training, and Amazon Nova Forge.
OpenAI's GPT-Red is an automated red teaming system that uses self-play to strengthen AI safety, alignment, and resistance to prompt injection attacks.
Letting a model 'think' before answering measurably improves hard reasoning. Here is how chain-of-thought works, how it grew into dedicated reasoning models, and when the extra cost pays off.
The hot skill in AI has moved from writing a good prompt to designing the loop that prompts the agent for you. Here is what loop engineering means, why it emerged in 2026, and how to do it well.
Most people get mediocre answers from AI because of vague prompts. A few simple techniques — being specific, giving examples, and asking for step-by-step reasoning — reliably improve results.