acroix

acroix

Hi, I’m Augusto Santa Cruz — a creative mind born in Argentina in 1987, currently immersed in the world of AI and Machine Learning. With over five years of professional experience in the field, I specialize in leveraging AI technologies to create smarter workflows, innovative solutions, and user-centered digital experiences. I come from a diverse background that blends a passion for technology with a love for creativity and communication. Over the years, I've worked with international teams, led AI support initiatives, and developed tools that bridge the gap between humans and machines. At Prompt Bestie, I share insights, prompts, and resources to help creators, entrepreneurs, and tech enthusiasts unlock the full potential of AI. Whether you’re looking for fresh ideas, strategic prompts, or just a little spark of inspiration, you’re in the right place. When I'm not crafting AI magic, you can find me exploring new cultures, diving into psychology and design, or chasing the perfect coffee. Let's build the future together — one brilliant prompt at a time!

How Asimov’s Three Laws Fix Custom GPT Builds

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Custom GPT reliability has crashed from 90% to 30% after recent model updates, but there's a solution hiding in science fiction. Discover how applying Asimov's Three Laws as a hierarchical prompting framework eliminates instruction conflicts, improves enterprise AI performance by 60-80%, and transforms chaotic prompt engineering into principled AI architecture that scales.

Structured Creativity Prompting: The Science Behind Making AI More Creative Through Systematic Frameworks

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Discover how Contextual Creativity Framing (CCF) and structured prompting techniques can dramatically improve AI creativity output. Learn evidence-based frameworks, domain-specific adaptations, and advanced techniques that go beyond simple "be creative" prompts. Includes practical case studies, implementation guides, and measurement strategies for prompt engineers and AI professionals.

GPT-5: OpenAI’s Unified AI Revolution – Complete Technical Analysis for Developers and Researchers

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GPT-5 revolutionizes AI with unified reasoning architecture, 74.9% SWE-bench accuracy, and 80% fewer hallucinations. This comprehensive 5,000+ word analysis covers technical architecture, benchmark performance, enterprise applications, competitive landscape, and implementation strategies. Includes real-world case studies from Fortune 500 companies, detailed API examples, ROI calculations, and strategic guidance for developers, researchers, and business leaders navigating the AI transformation. Essential reading for understanding GPT-5's impact on software development, scientific research, and enterprise workflows.

How a Neuroscientist’s Critical Thinking Framework Revolutionizes AI Prompt Engineering: The 5-Stage Deep Analysis Method

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Discover how a neuroscientist's 5-stage critical thinking framework transforms AI interactions from superficial responses to deep, analytical insights. Learn to implement Dr. Justin Wright's proven cognitive model through structured prompt engineering techniques that guide Claude, ChatGPT, and Gemini through rigorous evidence evaluation, assumption challenging, perspective exploration, alternative generation, and implication mapping. This comprehensive guide includes the complete master prompt template, real-world applications across business and research domains, comparative AI model performance data, and advanced implementation strategies. Stop settling for "glazed" AI responses and unlock the full analytical potential of modern language models through systematic critical thinking approaches that have shown 73% improvement in solution comprehensiveness and 89% increase in perspective diversity across 50+ complex problem-solving scenarios.

Retrieval-Augmented Generation (RAG) Advancements: The 2024-2025 Revolution Transforming Enterprise AI

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Discover the revolutionary RAG advancements transforming enterprise AI in 2024-2025. From semantic chunking breakthroughs to agentic frameworks, learn how leading organizations achieve 25-40% productivity gains and 60-80% cost reductions with retrieval-augmented generation. Complete implementation guide with real-world case studies, performance benchmarks, and strategic recommendations for AI professionals.