[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fI9lBiOSweCrVrVNQCP1Giog1GEL8M6shV7W3FkInPOw":3},{"locale":4,"topic":5,"relatedTrends":70},"en",{"topic":6,"slug":7,"canonicalSlug":7,"topicAliases":8,"nicheKey":9,"nicheName":10,"nicheNameEn":10,"nicheIcon":11,"country":12,"countries":13,"agentKey":14,"score":15,"type":16,"isFresh":17,"isPublic":18,"detectedAt":19,"sources":20,"evidence":62,"article":66},"Prompt engineering: systematic techniques for AI orchestration","prompt-engineering-systematic-techniques-for-ai-orchestration",[],"ai-engineering","AI Engineering & LLM Ops","⚙️","GB",[12],"ai-engineering-GB",100,"spiking",true,false,"2026-08-02T01:44:44.183Z",[21,27,33,37,42,47,52,57],{"title":22,"url":23,"domain":24,"snippet":25,"content":26},"What is prompt engineering? The art of AI orchestration","https:\u002F\u002Fwww.infoworld.com\u002Farticle\u002F4122440\u002Fwhat-is-prompt-engineering-the-art-of-ai-orchestration.html","infoworld.com","The article defines prompt engineering as the systematic practice of crafting inputs and strategies (zero‑shot, few‑shot, chain‑of‑thought, etc.) to orchestrate generative AI effectively.","🚀 The new InfoWorld.com hybrid search: 🔍 Explore InfoWorld content smarter, faster and AI powered. ✨ \n\nClose\n\n1.   \n2.   \n3.   \n4.   \n5.   \n6.   \n7.   \n8.   \n9.   \n10.   \n11.   \n12.   \n13.   \n14.   \n15.   \n16.   \n17.   \n18.   \n19.   \n20.   \n21.   \n\n!\n\n by \n\nContributing Writer\n\nfeature\n\nJan 29, 2026 10 mins\n\nPrompt engineering is the process of crafting inputs, or _prompts,_ to a [generative \n\n[Content truncated...]",{"title":28,"url":29,"domain":30,"snippet":31,"content":32},"Writer's AI harness cuts token spend nearly 40% — without sacrificing accuracy","https:\u002F\u002Fventurebeat.com\u002Forchestration\u002Fwriters-ai-harness-cuts-token-spend-nearly-40-without-sacrificing-accuracy","venturebeat.com","Enterprise AI is facing an ROI paradox. While throwing more compute at the strongest foundation model works well in product experiments, the costs become...",null,{"title":34,"url":35,"domain":36,"snippet":32,"content":32},"Data Scientists Are Becoming AI Managers, Not Model Builders","https:\u002F\u002Fwww.kdnuggets.com\u002Fdata-scientists-are-becoming-ai-managers-not-model-builders","kdnuggets.com",{"title":38,"url":39,"domain":40,"snippet":41,"content":32},"Spec-Driven Prompt Engineering for Developers","https:\u002F\u002Fwww.augmentcode.com\u002Fguides\u002Fspec-driven-prompt-engineering-for-developers","augmentcode.com","Learn spec-driven prompt engineering for developers to create structured, reliable AI workflows that improve code accuracy and maintain architectural...",{"title":43,"url":44,"domain":45,"snippet":46,"content":32},"Systematic LLM Prompt Engineering Using DSPy Optimization","https:\u002F\u002Ftowardsdatascience.com\u002Fsystematic-llm-prompt-engineering-using-dspy-optimization\u002F","towardsdatascience.com","This article is a journey into the fascinating and rapidly evolving science of LLM prompt iteration, which is a fundamental part of Large Language Model...",{"title":48,"url":49,"domain":50,"snippet":51,"content":32},"Implementing advanced prompt engineering with Amazon Bedrock","https:\u002F\u002Faws.amazon.com\u002Fblogs\u002Fmachine-learning\u002Fimplementing-advanced-prompt-engineering-with-amazon-bedrock\u002F","aws.amazon.com","This post provides valuable insights and practical examples to help balance and optimize the prompt engineering workflow.",{"title":53,"url":54,"domain":55,"snippet":56,"content":32},"Context engineering emerges as crucial discipline for AI agent success","https:\u002F\u002Fppc.land\u002Fcontext-engineering-emerges-as-crucial-discipline-for-ai-agent-success\u002F","ppc.land","Context engineering emerges as the systematic discipline of designing, assembling, and optimizing information provided to AI models.",{"title":58,"url":59,"domain":60,"snippet":61,"content":32},"Top 10 Prompt Mistakes to Avoid in 2025","https:\u002F\u002Fwww.nucamp.co\u002Fblog\u002Fai-essentials-for-work-2025-top-10-prompt-mistakes-to-avoid-in-2025","nucamp.co","Avoid the top 10 prompt mistakes in 2025 to get better AI responses. Learn beginner-friendly tips for clear, specific, and effective AI prompts.",{"mentionsLast7Days":63,"mentionsLast30Days":63,"firstSeen":19,"lastSeen":64,"relatedEntities":65},2,"2026-08-03T00:07:57.129Z",[23,29,35,39,44,49,54,59],{"slug":67,"title":68,"matchScore":69},"prompt-engineering-as-ai-orchestration-systematic-techniques-that-scale","Prompt Engineering as AI Orchestration: Systematic Techniques That Scale",1,[71,74,77,80,83,86],{"topic":72,"slug":73,"score":15,"type":16,"country":12,"nicheIcon":11},"Jalapeño LLM-optimized inference chip by OpenAI and Broadcom","jalapeno-llm-optimized-inference-chip-by-openai-and-broadcom",{"topic":75,"slug":76,"score":15,"type":16,"country":12,"nicheIcon":11},"Agentic AI use cases across industries and applications","agentic-ai-use-cases-across-industries-and-applications",{"topic":78,"slug":79,"score":15,"type":16,"country":12,"nicheIcon":11},"SpaceXAI's Grok 4.5 cursor-trained coding and agentic model","spacexai-s-grok-4-5-cursor-trained-coding-and-agentic-model",{"topic":81,"slug":82,"score":15,"type":16,"country":12,"nicheIcon":11},"Google's best practices for evaluating AI agents at scale","google-s-best-practices-for-evaluating-ai-agents-at-scale",{"topic":84,"slug":85,"score":15,"type":16,"country":12,"nicheIcon":11},"Shift to context engineering for AI root cause analysis","shift-to-context-engineering-for-ai-root-cause-analysis",{"topic":87,"slug":88,"score":15,"type":16,"country":12,"nicheIcon":11},"Agentic AI real-world use cases across industries","agentic-ai-real-world-use-cases-across-industries"]