Secret sauce for using AI and ChatGPT effectively! 🌐 Define the Chatbot's Identity: Don't just interact, assign a role! Direct ChatGPT like a seasoned director guiding an actor. For instance, when you need a 'Statistical Sleuth' to dive into data or a 'Grammar Guru' for language learning, this focused identity sharpens the conversation. Example: Instead of "Do something with this data," say "As a statistical analyst, identify and explain key trends in this data set." 🎯 Provide Crystal-Clear Prompts: Be the maestro of your requests. Precise prompts equal precise AI responses. From dissecting datasets to spinning stories, the detail you provide is the detail you'll receive. Example: Swap "Write something on AI ethics" with "Compose a detailed article on AI ethics, emphasizing transparency, accountability, and privacy." 🧠 Break It Down: Approach complex problems like a master chef—layer by layer. Guide ChatGPT through your query's intricacies for a gourmet dish of nuanced answers. Example: Replace "Help me with my project" with "Outline the process for creating a machine learning model for predicting real estate prices, starting with data collection." 📈 Iterate and Optimize: Don't settle. Use ChatGPT's responses as raw material, and refine your inquiries to sculpt your masterpiece of understanding. Example: Transform "Your last response wasn't helpful" into "Elaborate on how overfitting can be identified and mitigated in model training." 🚀 Implement and Innovate: Take the AI-generated knowledge and weave it into your projects. Always be on the lookout for novel ways to integrate AI's prowess into your work. Example: Change "I read your insights" to "Apply the insights on predictive analytics into creating a dynamic recommendation engine for retail platforms." By incorporating these strategies, you're not just querying AI—you're conversing with a dynamic partner in innovation. Get ready to lead the curve with AI as your collaborative ally in the realms of #TechInnovation, #FutureOfWork, #AI, #MachineLearning, #DataScience, and #ChatGPT! Is there anything else you would add to this secret sauce?
How to Improve Chatbot Responses With Custom Instructions
Explore top LinkedIn content from expert professionals.
Summary
Improving chatbot responses with custom instructions involves creating specific, role-based prompts and providing clear, relevant context to guide the AI in generating more accurate and useful outputs.
- Define the chatbot's role: Assign a clear identity to the AI, such as a "marketing analyst" or "project manager," to help it tailor responses based on a specific perspective or expertise.
- Provide clear context: Incorporate detailed background information, such as goals, research, or examples, to enable the chatbot to deliver relevant and actionable insights.
- Iterate and refine: Evaluate the AI's responses, offer feedback, and adjust your prompts or context to achieve more precise and valuable outcomes.
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How I use AI isn’t complicated. But it is intentional. I spend 3–6 hours a day inside ChatGPT. I don’t throw prompts at it. I build context with intent and it gets better over time. Here’s how I use it every day. 1. I Build Projects, Not Just Prompts I don’t write random prompts. I build ChatGPT projects with clear goals, uploaded files, and custom instructions. Each one is a system. Reusable. Focused. Built to think with me, not just talk back. 2. I Train It on Myself I’ve trained ChatGPT on my Enneagram, Human Design, work patterns, and feedback history. So when I’m off-track, it goes beyond advice and understands how I tend to fall off, and how I get back. 3. I Simulate My Boss I uploaded my boss’s operating manual and favorite docs. Now I can test ideas before I pitch them. “Would Morgan buy this?” I know before I ask. It’s prep, alignment, and calibration all in one. 4. I Show It What Great Looks Like If ChatGPT doesn’t know what great looks like, it can’t give you great. I feed it standout outputs such as docs, threads and decks so it learns what I consider high quality. Then I build from that baseline. 5. I Use It Like a Coach Before hard conversations, I talk it out in ChatGPT. I explain the situation and ask for perspective. It helps me reflect, not react. I leave clearer, calmer, and better prepared. 6. I Turn Frameworks Into Systems Every time I use a mental model more than once, I systematize it. I turn frameworks into project files and instructions, so I can apply them consistently without starting from scratch. 7. I Reset Like a Product Team I audit and reset my ChatGPT the same way I’d refactor code. I clean up memory, archive noise, and delete irrelevant chats. If the context isn’t clean, the output won’t be either. 8. I Feed It Research First I never ask ChatGPT to write from nothing. I give it context such as company docs, user feedback or market research. That’s when it works. Without input, it’s just guessing. 9. I Built a Project That Builds Projects It’s meta, but it works. I have a ChatGPT project that helps me spin up new projects. Input a goal, it gives me files, instructions, and kickoff prompts. I use it to spin up custom workspaces in minutes. 10. I Rehearse With It Before I present anything important, I run simulations in ChatGPT. I explain the stakes and ask how it would land. It helps me tighten the message and spot what I’m not seeing. 11. I Turn Feedback Into Patterns When I get feedback, I drop it in and ask ChatGPT to analyze it. Not just “what should I do,” but “what keeps coming up?” It surfaces blind spots faster than any spreadsheet ever did. 12. I Work With My Defaults I’m an Enneagram Type 9. I avoid conflict. My Personal OS project knows that, and ChatGPT helps me prep for the moments I’d usually dodge. It gives me words I can stand behind when it matters most.
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Here’s one of the most effective prompt strategies I’ve used this year—and it’s surprisingly simple. When you're working with AI tools like ChatGPT, don’t just ask it to “help” with a task. Assign it a role. Why? Because how you frame your prompt directly affects the depth and relevance of the response. Try these examples: -Act as a Harvard Business School professor. Evaluate this business model and summarize the pros and cons. -Act as a venture capitalist at a Series A firm. Review this pitch deck and identify any red flags. -Act as a healthcare compliance officer. Break down the implications of this new regulation. -Act as a senior data analyst. Analyze this chart and summarize key insights for a C-suite audience. You’re giving AI a lens to think through—and it changes the quality of the insight you get back. Bonus tip: ask the AI to first ask clarifying questions before it responds. This reduces back-and-forth and makes your outputs sharper and faster. If you haven’t tried this yet, I highly recommend it. It’s a game-changer for strategic tasks, especially if you’re leading a team or juggling multiple decisions. I cover actionable AI strategies like this in my weekly AI Insight newsletter: https://lnkd.in/gx6DrtD9