Aldrick ZAPPELLINI

Matthieu Jonglez from Progress talking about how to use AI with #semantic #agentic #RAG on structured and unstructure data from a companies’s private systems “The greater the context, the greater the insights” #progressdatasummit

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GPT-5 is 🤯🤯 People trashing it don't know how to use it. We created a guide for my portfolio companies. An overview: 1. Encourage Deeper Reasoning ⤷ Explicitly instruct GPT-5 to “think harder” 2. Use Explicit Planning Phases ⤷ Ask it to turn requests to components, identify ambiguity, create a plan & validate 3. Be Highly Explicit in Instructions ⤷ Define tone, style, structure & output expectations 4. Structure Prompts Rigorously ⤷ Organize information into defined sections 5. Request Thought Process Summaries ⤷ Ask it to explain its reasoning before answering 6. Avoid Conflicting Instructions ⤷ Identify and resolve contradictions in your prompt 7. Leverage Self-Rating and Iteration ⤷ Tell it to rate its answer and iterate till it gets a 10/10 answer 8. Apply Metaprompting ⤷ Ask it to improve your prompt 9. Adjust Verbosity ⤷ Define how long its answer should be Our full guide has details, prompt examples, and actual use cases. Comment “GPT” to get it.

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Google and LLMs don’t just crawl your website — they construct an Information Graph from it. What is an Information Graph? In NLP, every sentence becomes an Entity–Attribute–Value (EAV) triple. Example: ChatGPT → is → the best AI chatbot ChatGPT → is → one of the best AI chatbots Search engines and LLMs then use fuzzy logic to decide what’s consistent, what’s opinion, and what creates conflict. Even small differences like “best” vs “one of the best” change the weight of consensus around an entity. What about Open Information Extraction? It means crawlers can extract facts from across the web — without a fixed schema. The more sources agree on a value range for an entity–attribute pair, the stronger the “plausibility” of that fact. This is how web-wide consensus is built. For SEO and LLMs, consensus matters at two levels: Internal site consensus → Your own site must present a consistent Information Graph. Too many conflicting statements reduce trust. Web-wide consensus → Becoming a Topical Authority means being the source that defines the “truth range” in your domain. Over the past two years, we built a GPT Crawler that scans websites for information conflicts, suggests corrections, and even powers chatbots that only speak with the site’s own consensus. This was one of the Agents we introduced in our “Orchestra of Agents” lecture (Topical Authority Course 2.0). We’ve also published a case study on expanding topical maps using EAV triples: 👉 https://lnkd.in/dQ8FDGsd 💡 Why does this matter? Information Graphs explain information density, quality, and accuracy. OpenIE systems use them to separate facts from perspectives. Relevance Configuration and our Algorithmic Authorship Rules (shared 3 years ago) help shape how your site communicates with these systems. The takeaway: Search engines and LLMs always rely on Information Graphs. If your site is inconsistent, you weaken its authority. If your site sets consensus, you define the truth range for your industry. We will continue protecting the legacy of Bill Slawski by focusing on research, not hype. 👉 Join our community or course: https://lnkd.in/dp8mGy8E Stay with research and reason. #SEO #TopicalAuthority #ChatGPT

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Stop using one-line prompts. Instead, structure them into 4 parts: 1️⃣ Identity – define the role of your AI agent 2️⃣ Style – decide how it should format and respond 3️⃣ Response guidelines – keep it accurate and within limits 4️⃣ Task or goal – what the agent needs to accomplish Get this right, and your AI agents become smarter and more reliable.

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GPT-4.1 vs GPT-5 in SuiteAnalyzer: Speed or Depth? 🤔 In side-by-side tests with the same financial data, GPT-5 delivered far richer insights than GPT-4.1 — but took longer to respond. In my latest blog post, I explain why this trade-off is expected, how costs compare, and when to choose each model. https://lnkd.in/eVRkJpwf

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