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Prompt After Prompt: AI Doesn’t Need More Instructions; It Needs Feedback Loops

تكنولوجيا
Forbes
2026/05/27 - 15:15 515 مشاهدة
تحليل ذكي | AI Editorial Analysis

InnovationPrompt After Prompt: AI Doesn’t Need More Instructions; It Needs Feedback LoopsByJuan Graña,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils mem...

Opinions expressed are those of the author.

| Membership (fee-based)May 27, 2026, 11:15am EDTJuan Graña, CEO and founder, Neurologyca, a leader in Human Context AI.

هذا الخبر من Forbes. خبر يقدم أدوات ذكاء اصطناعي للتلخيص والترجمة والاستماع.

InnovationPrompt After Prompt: AI Doesn’t Need More Instructions; It Needs Feedback LoopsByJuan Graña,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. | Membership (fee-based)May 27, 2026, 11:15am EDTJuan Graña, CEO and founder, Neurologyca, a leader in Human Context AI. gettyImagine working with a diligent colleague who follows instructions to the letter, but only the ones you gave them 10 minutes ago. They move quickly, execute cleanly and never miss a beat, but you can’t shake the feeling they’re missing something.The situation evolves, priorities shift, new information comes to light, but they just carry on following your instructions as if nothing has changed. While you may feel a sense of urgency, hesitation or confusion, that same colleague is calmly getting on with the exact instruction you gave them, and you’re the one who’s going to have to make sure their output aligns with the new reality.Now picture a different kind of collaborator. They're just as diligent, but they're someone who reads the room and adjusts their approach based on the subtlest of cues. Not only do they understand what you just said, but they understand how you meant it, the feeling behind it and what you need from them in the moment. They know when you’re frustrated, can sense when you’re hesitant and can proactively respond to you as a human being rather than an entity dishing out prompts.​For all the progress that’s been made in the world of AI, most systems today still resemble the first colleague. They’re highly effective when the path from A to B is clear, but as soon as an interaction stretches across multiple steps, decisions or moments of ambiguity, they quickly fall out of alignment. The human context behind the task is shifting, but they’re not able to keep up.​That mismatch is becoming harder to ignore as AI moves deeper into real workflows. Sy...
المصدر: Forbes | Source: Forbes

ملاحظة تحريرية | Editorial Note: نُشر هذا المقال في الأصل بواسطة Forbes. خبر (Khabr) هي منصة إعلامية أردنية مرخّصة تعمل بالذكاء الاصطناعي. نضيف قيمة تحريرية من خلال: تحليل ذكي للأخبار، ملخصات تلقائية، رواية صوتية بالذكاء الاصطناعي، ترجمة متعددة اللغات، وتدقيق الحقائق. هدفنا جعل الأخبار أكثر وضوحاً وسهولةً للقارئ العربي.

This article was originally published by Forbes. Khabr is a licensed Jordanian AI-powered news platform (Registration #82086). We add editorial value through: AI-powered news analysis, automated summaries, AI audio narration, multi-language translation (Arabic, English, French, Turkish), and AI fact-checking. Our mission is to make news more accessible and understandable for Arabic-speaking audiences worldwide.

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المزيد عن تكنولوجيا | More on Technology

هذا الخبر ضمن تغطية خبر لقسم تكنولوجيا. نقدّم لك تحليلات ذكية وملخصات يومية لأهم الأخبار من مصادر موثوقة متعددة. المصدر: Forbes. يوجد 6 مقالات مرتبطة بهذا الموضوع.

This article is part of Khabr's coverage of Technology. We provide AI-powered analysis, summaries, and multi-source aggregation to keep you informed. Source: Forbes. Tags: AI, feedback loops, technology.

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