Andreas Horn

𝗢𝗽𝗲𝗻𝗔𝗜 𝗷𝘂𝘀𝘁 𝗽𝘂𝗯𝗹𝗶𝘀𝗵𝗲𝗱 𝘁𝗵𝗲𝗶𝗿 𝗼𝗳𝗳𝗶𝗰𝗶𝗮𝗹 𝗚𝗣𝗧-4.1 𝗽𝗿𝗼𝗺𝗽𝘁𝗶𝗻𝗴 𝗴𝘂𝗶𝗱𝗲!

It provides a detailed guide on how to steer GPT-4.1 with precision, including examples, tips, and advanced techniques. You can access the full version for free below. ⬇️

𝗜𝗻 𝘀𝘂𝗺𝗺𝗮𝗿𝘆, 𝗵𝗲𝗿𝗲 𝗮𝗿𝗲 𝘁𝗵𝗲 𝗸𝗲𝘆 𝗲𝗹𝗲𝗺𝗲𝗻𝘁𝘀:
➜ Be Clear with Your Instructions: GPT-4.1 is really good at following directions, but only if you're specific. The more clear and direct your prompt, the better the response.
➜ Break Down Complex Tasks: If you're working on something complicated, ask GPT-4.1 to “think step by step.” It helps the model give more accurate and thoughtful answers.
➜ Use Structure: If you need to share a lot of info, use clear structure—like markdown or bullet points. This helps GPT-4.1 understand and organize the info better.
➜ Format Your Prompts with Clear Sections: Structure your prompts for easier comprehension:
  - Role and Objective
  - Instructions (with subcategories)
  - Reasoning Steps
  - Output Format
  - Examples
  - Final instructions
➜ Put Important Instructions at the Start and End: For longer prompts, put your key instructions both at the beginning and the end. This helps the model stay on track.
➜ Guide It with Reminders: If you're designing a workflow or solving a problem, include reminders like “keep going until it’s fully resolved” or “plan carefully before acting.” This keeps the model focused.
➜ Use the Token Window Wisely: GPT-4.1 can handle a huge amount of text, but too much at once can slow it down. Be strategic about how much context you provide.
➜ Balance Internal and External Knowledge: For factual questions, tell GPT-4.1 to either “only use the provided context” or to mix that context with general knowledge. This helps you get the most accurate results.

𝗜𝗻 𝘀𝗵𝗼𝗿𝘁: 𝗧𝗵𝗲 𝗸𝗲𝘆 𝘁𝗼 𝘂𝘀𝗶𝗻𝗴 𝗚𝗣𝗧-4.1 𝗲𝗳𝗳𝗲𝗰𝘁𝗶𝘃𝗲𝗹𝘆 𝗶𝘀 𝗰𝗹𝗲𝗮𝗿, 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝗱 𝗽𝗿𝗼𝗺𝗽𝘁𝘀 𝘁𝗵𝗮𝘁 𝗴𝘂𝗶𝗱𝗲 𝗶𝘁 𝘁𝗼𝘄𝗮𝗿𝗱 𝘁𝗵𝗲 𝗿𝗶𝗴𝗵𝘁 𝗮𝗻𝘀𝘄𝗲𝗿. 𝗜𝘁’𝘀 𝗮𝗹𝗹 𝗮𝗯𝗼𝘂𝘁 𝗮𝘀𝗸𝗶𝗻𝗴 𝘁𝗵𝗲 𝗿𝗶𝗴𝗵𝘁 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝗶𝗻 𝘁𝗵𝗲 𝗿𝗶𝗴𝗵𝘁 𝘄𝗮𝘆!

Access it here or download it below: https://lnkd.in/dCm6DeFW

𝗪𝗵𝗮𝘁 𝗮𝗿𝗲 𝘁𝗵𝗲 𝗺𝗼𝘀𝘁 𝗰𝗼𝗺𝗺𝗼𝗻 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁 𝘂𝘀𝗲 𝗰𝗮𝘀𝗲𝘀 𝗶𝗻 2025? ⬇️

StackAI released a whitepaper mapping out 25 real-world AI Agent use cases across industries.

Let's break it down: ⬇️

1. 𝗜𝗻𝘃𝗲𝘀𝘁𝗺𝗲𝗻𝘁 𝗠𝗲𝗺𝗼 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗼𝗿 → Cuts 8 hours of analyst time to 15 minutes using multi-agent LLM orchestration.
2. 𝗕𝘂𝘆 𝘃𝘀. 𝗦𝗲𝗹𝗹 𝗦𝗶𝗱𝗲 𝗖𝗼𝗺𝗽𝗮𝗿𝗶𝘀𝗼𝗻 → Automates comparative analysis across investment targets.
3. 𝗗𝘂𝗲 𝗗𝗶𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗔𝗴𝗲𝗻𝘁 → Gathers market data and flags red flags from reviews and financials.
4. 𝗦𝗘𝗖 𝗙𝗶𝗹𝗶𝗻𝗴𝘀 𝗘𝘅𝘁𝗿𝗮𝗰𝘁𝗼𝗿 → Analyzes 10-Qs/10-Ks and summarizes risk and debt.
5. 𝗖𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗼𝗿 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗔𝗴𝗲𝗻𝘁 → Benchmarks rival firms across web signals and news.
6. 𝗦𝗽𝗿𝗲𝗮𝗱𝘀𝗵𝗲𝗲𝘁 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 → Sums massive CSV files based on NLP.
7. 𝗔𝗜 𝗦𝘁𝗮𝗳𝗳𝗶𝗻𝗴 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 → Matches project needs to employee skills using SharePoint data.
8. 𝗡𝗲𝘄 𝗛𝗶𝗿𝗲 𝗢𝗻𝗯𝗼𝗮𝗿𝗱𝗶𝗻𝗴 𝗔𝗴𝗲𝗻𝘁 → Answers role-specific questions based on documentation.
9. 𝗦𝗢𝗖2 𝗖𝗼𝗺𝗽𝗹𝗶𝗮𝗻𝗰𝗲 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 → Handles hundreds of infosec queries from documentation in minutes.
10. 𝗔𝗜 𝗦𝗹𝗮𝗰𝗸𝗯𝗼𝘁 → A Slack-native assistant that retrieves internal knowledge/workflows.
11. 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗦𝘂𝗽𝗽𝗼𝗿𝘁 𝗖𝗵𝗮𝘁𝗯𝗼𝘁 → Resolves product inquiries with real-time document search.
12. 𝗥𝗙𝗣 𝗪𝗿𝗶𝘁𝗲𝗿 → Drafts proposals automatically based on past responses and specs.
13. 𝗧𝗲𝗻𝗱𝗲𝗿 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝗔𝗻𝗮𝗹𝘆𝘇𝗲𝗿 → Breaks down cost and scope in procurement bids.
14. 𝗣𝗼𝘀𝘁𝗴𝗿𝗲𝗦𝗤𝗟 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗔𝗴𝗲𝗻𝘁 → Lets ops teams query SQL databases with plain English.
15. 𝗣𝗮𝘁𝗶𝗲𝗻𝘁 𝗥𝗲𝗽𝗼𝗿𝘁 𝗦𝘂𝗺𝗺𝗮𝗿𝗶𝘇𝗲𝗿 → Pulls and formats medical records compliant.
16. 𝗖𝗮𝗹𝗹 𝗖𝗲𝗻𝘁𝗲𝗿 𝗤𝗔 𝗔𝗴𝗲𝗻𝘁 → Analyzes support calls for compliance adherence and tone.
17. 𝗦𝗢𝗔𝗣 𝗡𝗼𝘁𝗲𝘀 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗼𝗿→ Converts call transcripts into structured SOAP documentation.
18. 𝗣𝗿𝗼𝘁𝗼𝗰𝗼𝗹 𝗦𝘂𝗺𝗺𝗮𝗿𝗶𝘇𝗲𝗿 → Turns medical guidelines into slide decks with key takeaways.
19. 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗖𝗼𝗻𝘁𝗿𝗮𝗰𝘁 𝗥𝗲𝗱𝗹𝗶𝗻𝗶𝗻𝗴 𝗔𝗴𝗲𝗻𝘁 → Proposes changes to legal documents in minutes.
20. 𝗟𝗲𝗮𝗱 𝗦𝗰𝗼𝗿𝗶𝗻𝗴 𝗔𝗴𝗲𝗻𝘁 → Researches prospects and creates dynamic sales scores.
21. 𝗔𝗜 𝗪𝗿𝗶𝘁𝗶𝗻𝗴 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁→ Edits and rewrites content to align with internal style guides.
22. 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗮𝘁𝗶𝗰 𝗦𝗘𝗢 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗼𝗿 → Produces blog posts and meta content at scale.
23. 𝗩𝗶𝗱𝗲𝗼-𝘁𝗼-𝗕𝗹𝗼𝗴 𝗔𝗴𝗲𝗻𝘁 → Converts YouTube links into structured articles.
24. 𝗦𝗮𝗹𝗲𝘀𝗳𝗼𝗿𝗰𝗲 𝗤𝘂𝗲𝗿𝘆 𝗔𝗴𝗲𝗻𝘁 → Retrieves CRM data with natural language inputs.
25. 𝗦𝗻𝗼𝘄𝗳𝗹𝗮𝗸𝗲 𝗦𝗮𝗹𝗲𝘀 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 → Allows non-technical users to access warehouse data with prompts.

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