Most people treat AI like a magic box: type anything, get bad results. The ones who prompt correctly? They get 10x better results in seconds.

Joined March 2026
38 Photos and videos
(Context vs Prompting) New terminology, same underlying discipline. "Context engineering" is getting more attention in 2025 than "prompt engineering." The distinction: context is what the model knows, prompting is how you specify what you want. You need both. One doesn't replace the other. Which does your team think about more: context or prompts?
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The model is strongly inclined to follow it — because of RLHF training — but the mechanism is inclination, not hard constraint. Understanding this explains why Studio's Skill configurations outperform session-level instructions.
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A chat wrapper gives you a nicer interface for the same paradigm: type, get response. Studio gives you a composition environment: architect a reasoning structure, wire together nodes with different cognitive functions, run a system. These are not the same category.
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Most people don't realize they're choosing between them. Category 1: does it for you. Output improves. Skills don't. Remove the tool: back to baseline. Category 2: teaches you. Output improves AND skills improve. Remove the tool: still better than before.
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Prompting matters !
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We host on @Hetzner_Online . European data sovereignty by design. German data center infrastructure. GDPR by default. No exposure to US CLOUD Act jurisdiction. This wasn't a default decision — it was a deliberate one for professional users with confidentiality requirements.
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The AI education market is projected to reach $20B by 2027 . The question worth asking: how much of that market is producing actual skill — and how much is producing the feeling of skill? What's the best AI course you've taken that actually changed how you work?
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The ROI difference between these two groups is the entire AI performance gap. Access is table stakes. Methodology is the differentiator. What percentage of your AI budget goes to access versus skill development?
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In 3 years, prompting will be a literacy — not a specialty. The same trajectory as email, spreadsheets, and clear writing. Baseline professional expectation. The window to build it before it's assumed is closing faster than most people realize.
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$45k to $175k — that's the 2025 salary range for "prompt engineering" roles. The 4× spread reflects skill differentiation, not job title variation. Entry level = basic chat prompting. Principal = prompt systems design, eval frameworks, agent pipelines.
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73% of enterprise AI users report inconsistent output quality across their teams. The fix isn't training — it's shared infrastructure. A canvas library gives everyone the same starting structure. Expertise distributes through the system, not just the people. #ai #ainews #prompts
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Hot take: unstructured AI use is making students worse at reasoning, not better. MDPI 2025 study (n=150): structured prompting → improved critical reasoning. The interface is the variable. Are you using AI to think, or to avoid thinking? #generativeai #prompts #tech #ainews
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Three of your actual pieces in the Few-Shot node your forbidden phrases in Constraints brand voice in Context. The model doesn't have a personality. It has yours by configuration. What does AI always get wrong about how you write? #ai #generative #llm #tech #prompting
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Knowing Chain-of-Thought exists is not the same as having a composable, versioned, team-shareable workflow built around it. Technique knowledge and system design are different skills. You can have one without the other. #LLM #GenerativeAI #Grok #OpenAi #Claude
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If your AI outputs are inconsistent, your prompts are inconsistent. Not because you're bad at prompting — because you're rebuilding from scratch every session. Rate your current output consistency: 1–10. Reply.
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Building in public doesn't mean transparency as marketing. It means accountability when we get something wrong — and we do get things wrong. Does knowing how a product was built change whether you trust it?
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Founder Points: the pricing model that rewards contribution ! #aiprompts #llm #generativeai #tech #futureofai
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BYOK is becoming the baseline expectation in professional AI use. Privacy regulations, enterprise security requirements, and user data literacy are all pushing the same direction: your keys, your data, your responsibility. #LLM #AIprompts
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Bring Your Own Key ! #LLM #GenerativeAI #AIPrompting
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