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https://www.youtube.com/@valls_geoconsultant?sub_confirmation=1 For more videos about geology, geochemistry, AI, and much more, please visit and subscribe for free here: Golden droplets- https://shorturl.at/fetV1 Geovoices- https://tinyurl.com/m23pp4pb News about geology- https://tinyurl.com/3979urhy Geo News Radio: https://shorturl.at/MwdSK Mastering prompt engineering and the Elite 1% secret requires geoscientists to stop treating AI as a simple search engine and instead view a prompt as a program to manipulate the Python Geo Stack, machine learning, and Physics-Informed Neural Networks (Vanderbilt University, as cited in NetworkChuck, 2025; Stewart et al., 2025). This elite workflow integrates role context, situation context, and output context through the RAFT framework to optimize geostress field inversion, seismic inversion, and exploration targeting (AI Founders, 2025; Li et al., 2026). While 99% of users struggle with generic results, the top 1% utilize few-shot prompting to establish patterns and chain-of-thought or tree-of-thought prompting to guide the model through complex geoscientific reasoning (AgentForge, 2025; CodeEmporium, 2025; Ryan & Matt Data Science, 2025). High-level practitioners leverage system prompts to define the AI's identity—such as a senior geochemist or structural geologist—and user prompts to provide real-time task data, ensuring the model adheres to physical laws rather than producing "black-box" hallucinations (UiPath with Jeppe, 2025; Li et al., 2026). In industrial exploration, this involves using context engineering to provide specific domain data for tools like RadiXplore, OreFox, or Micromine Origin Grade Copilot, effectively narrowing the search space and maximizing ROI on exploration budgets (CorePlan, 2026; AusIMM, 2025). To truly ascend to the elite tier, geologists must implement context compression for massive datasets, practice output iteration to sculpt results like clay, and utilize the Pangeo-ML framework for scalable, cloud-native analysis on petabyte-scale Earth observation data (Nexio Automation, 2025; Stewart et al., 2025). Ultimately, the secret is clarity of thought: the AI can only be as clear as the geoscientist’s instructions, as elite prompting is less about clever wording and more about delegating work with professional precision (AI Founders, 2025; NetworkChuck, 2025). P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly Valls Geoconsultant ORCID ID- https://orcid.org/0000-0002-5421-0914 Scopus Author ID: 7003369619/35335510700 ResearcherID: S-6604-2018 If you like this content, please "buy me a coffee" https://www.buymeacoffee.com/goldendroplets #valls_geoconsultant #AIPrompting #GeoscienceAI #GeologyExplorationThe bridge between Academy and Industry! Some references AgentForge. (2025). Few-shot prompting + persona | Fine-tuning vs prompting [Video]. YouTube. AI Founders. (2025). Give me 15 MINS and I’ll teach you the AI Prompting Skills Most People Take 2 Years To Learn [Video]. YouTube. Alaei, B. (2023, September 12). How to convince your geoscience team to utilise AI solutions. ESA Insights. https://blog.earthanalytics.ai/how-to-convince-your-geoscience-team-to-use-ai-solutions Cleverley, P. (2025, December 1). From Earth to algorithms: Generative AI in geoscience. Geoscientist, 35(4), 22-28. https://doi.org/10.1144/geosci2025-032 Gammie, M. (2026, February 6). A list of trending geology AI tools for exploration teams. CorePlan. https://www.coreplan.io/blog/exploration-teams-a-list-of-trending-geology-ai-tools ResearchGate. (2024). Applications of physics-informed neural networks in geosciences: From basic seismology to comprehensive environmental studies. https://www.researchgate.net/publication/394533556_Applications_of_physics-informed_neural_networks_in_geosciences_From_basic_seismology_to_comprehensive_environmental_studies Valls, R. (2026). The path to the elite tier: A strategic framework for mastering artificial intelligence in geology and the Earth sciences. [Markdown document]. Victor, C. (2025, May 3). Confidence at every stage – How AI is transforming the geological workflow. AusIMM. https://www.ausimm.com/bulletin/bulletin-articles/confidence-at-every-stage--how-ai-is-transforming-the-geological-workflow/ Volo Builds. (2025). AI coding 101: Ultimate prompt guide (37 tips) [Video]. YouTube. Wang, N., Chen, Y., & Zhang, D. (2025, April 11). A comprehensive review of physics-informed deep learning and its applications in geoenergy development. The Innovation Energy, 2(2), 100087. https://doi.org/10.59717/j.xinn-energy.2025.100087 Zhao, T., Wang, S., Ouyang, C., Chen, M., Liu, C., Zhang, J., Yu, L., Wang, F., Xie, Y., Li, J., Wang, F., Grunwald, S., Wong, B. M., Zhang, F., & Qian, Z. (2024). Artificial intelligence for geoscience: Progress, challenges, and perspectives. The Innovation, 5(5). https://www.the-innovation.org/article/id/676cfaf7ca8e190bae900af2