Episodios

  • Training GPT with Company-Specific Knowledge #S6E10

    Training GPT with Company-Specific Knowledge #S6E10
    Apr 25 2025
    In the last episode, we covered how to use GPT for real-time decision support, helping businesses analyze options and make informed choices. Now, we’ll focus on how to train GPT with company-specific knowledge to make it a true expert in your business. By the end of this episode, you will know: How to provide GPT with company-specific data.How to upload internal documents for better accuracy.How to fine-tune GPT to prioritize your business’s information over general knowledge. Let’s get started. Step 1: Why Training GPT with Company Knowledge Matters A general GPT is trained on broad internet knowledge, which means it doesn’t know the details of your business unless you provide them. Without company-specific training, GPT might: Give generic responses instead of tailored advice.Lack accuracy when answering questions about your business.Miss key details that are unique to your services or policies. By training GPT with your company’s internal knowledge, you ensure it gives accurate, reliable, and brand-aligned responses. Step 2: Types of Information to Provide to GPT To improve GPT’s responses, you should provide relevant company information. Here are the key types of data you can upload: First, Company policies – Refund policies, terms of service, and operational guidelines. Second, Product and service details – Features, pricing, and benefits of your offerings. Third, FAQs – Common customer questions and pre-approved answers. Fourth, Brand voice guidelines – Preferred tone, terminology, and communication style. Fifth, Internal workflows – Standard operating procedures and best practices. Adding this information helps GPT deliver answers that are specific to your business. Step 3: Uploading Company-Specific Files to GPT To train GPT with your business knowledge, you can upload files that provide structured information. Here’s how to do it: First, log in to OpenAI’s platform and access your custom GPT settings. Second, find the section for uploading reference materials. Third, upload relevant files, such as PDFs, documents, and spreadsheets. Fourth, ensure documents are well-structured, with clear sections and headings. Fifth, test responses by asking business-specific questions to see if GPT correctly references the uploaded files. By adding your own documents, GPT can generate more precise, context-aware responses. Step 4: Prioritizing Company Knowledge Over General Information Even after uploading documents, GPT may still default to general knowledge instead of company-specific data. To fix this, refine GPT’s instructions with: "Always prioritize company-provided documents when answering business-related questions.""If information is not available in uploaded files, do not assume details—respond with 'This information is not available in our system'.""Use company policies and internal guidelines before referring to general business practices." This ensures GPT relies on your company’s materials instead of broad internet sources. Step 5: Testing and Refining GPT’s Knowledge Once GPT has been trained with company-specific data, test it by asking: First, "What is our refund policy?" Second, "What are the key benefits of our premium service?" Third, "How should we respond to a customer asking about shipping delays?" Fourth, "Summarize our latest company report in a few sentences." Fifth, "Write a social media post using our brand’s tone and messaging." If the responses don’t align with your expectations, refine instructions and re-test until GPT accurately reflects company knowledge. Example Prompts for Training GPT with Company Knowledge First, if GPT is not using company-specific data, try this. "Ensure all responses are based on uploaded company documents before referring to general knowledge." Second, if GPT gives inconsistent answers, try this. "Maintain consistency in responses by always referencing the provided internal documents." Third, if GPT provides too much general information, try this. "Focus strictly on company-provided materials. If unsure, respond with ‘This information is not available in our system’." Fourth, if GPT isn’t following brand tone, try this. "Write responses using our uploaded brand voice guidelines. Keep language and phrasing aligned with company standards." Fifth, if GPT struggles with product details, try this. "Use uploaded product information when explaining features, benefits, and pricing." These refinements help make GPT a more reliable and knowledgeable business assistant. Now it is time for your action task. Step one. Gather company-specific documents that GPT should reference – FAQs, policies, and brand guidelines. Step two. Upload these documents to GPT’s knowledge base following the steps outlined earlier. Step three. Test GPT by asking business-specific questions and evaluating the accuracy of its responses. Step four. If GPT’s answers are incorrect or incomplete, refine instructions to prioritize...
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    6 m
  • Using GPT for Real-Time Decision Support #S6E9

    Using GPT for Real-Time Decision Support #S6E9
    Apr 24 2025
    In the last episode, we explored how to customize GPT’s personality and brand voice to ensure consistent communication. Now, we’ll focus on how to use GPT for decision-making support, helping you analyze options and make informed business choices. By the end of this episode, you will know: How GPT can assist in real-time decision-making.How to structure prompts for business analysis and recommendations.How to use GPT to compare options, summarize key insights, and guide strategic decisions. Let’s get started. Step 1: How GPT Can Assist in Decision-Making While GPT doesn’t make decisions for you, it can be a valuable tool for: Summarizing key information quickly – Condensing reports, meeting notes, and industry insights.Comparing different options – Listing pros and cons of different strategies, tools, or investments.Generating possible solutions – Offering creative ideas and structured approaches to business challenges.Predicting potential risks and benefits – Highlighting factors that might impact success. For example, if you’re considering whether to invest in a new marketing tool, GPT can provide: A summary of the tool’s features and benefits.A comparison with other options on the market.Potential risks and expected ROI. This structured analysis helps streamline your decision-making process. Step 2: Structuring Prompts for Business Analysis To get useful insights, you need to ask GPT the right way. Instead of saying: "Should I launch a new product?" Try: "Analyze the pros and cons of launching a new product in [your industry]. Consider costs, market demand, potential risks, and long-term benefits." The more specific your prompt, the more relevant GPT’s response will be. Other useful business prompts: "Compare the benefits and drawbacks of hiring in-house marketing staff vs. outsourcing to an agency.""Summarize key trends in [your industry] and how they might impact business growth.""List five potential risks of expanding into a new market and how to mitigate them." By structuring prompts effectively, you ensure GPT provides insightful, actionable answers. Step 3: Using GPT to Compare Options and Find the Best Fit Decision-making often involves choosing between multiple options. For example, if you’re selecting a CRM tool, GPT can help by: First, listing key features of each option. Second, highlighting strengths and weaknesses. Third, providing a recommendation based on business needs. Example prompt: "Compare HubSpot, Salesforce, and Zoho CRM for a small business. Focus on cost, ease of use, scalability, and integration with email marketing tools. Provide a recommendation based on a budget of $500 per month." This allows you to quickly weigh options without extensive manual research. Step 4: Summarizing Data for Quick Decision-Making GPT can help process large amounts of information by summarizing reports, customer feedback, and competitor analysis. Example prompt: "Summarize this report on customer behavior trends in 200 words. Focus on key insights that could impact our marketing strategy." Other useful applications: Summarizing meeting minutes – "Highlight the key takeaways and action points from this meeting transcript."Analyzing survey responses – "Summarize common themes in customer feedback based on this survey data."Reviewing competitor strategies – "Summarize the pricing and features of our top three competitors." By reducing time spent analyzing data, GPT helps you focus on making informed decisions faster. Step 5: Using GPT to Identify Risks and Opportunities Before making a decision, it’s important to consider risks and opportunities. Example prompts: "List five potential risks of launching an online course and how to mitigate them.""Identify the biggest challenges in scaling an e-commerce business and possible solutions.""What are three key trends shaping the future of remote work?" By running risk-benefit analyses, GPT helps businesses make proactive, strategic decisions. Example Prompts for Real-Time Decision Support First, for business strategy, try this. "Analyze the advantages and disadvantages of switching from a subscription-based model to a one-time payment model." Second, for financial planning, try this. "Compare the financial impact of hiring two new employees vs. outsourcing specific tasks to freelancers." Third, for competitor analysis, try this. "Summarize how our top three competitors approach customer acquisition and retention." Fourth, for marketing insights, try this. "List three emerging marketing trends in [your industry] and how we can apply them to our business." Fifth, for investment decisions, try this. "Compare the expected return on investment between launching a new product and expanding into a new market." These prompts help structure decision-making with clear insights. Now it is time for your action task. Step one. Choose a current business decision you are working on. Step two. Use GPT to generate an analysis,...
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    6 m
  • Customizing GPT’s Personality and Brand Voice #S6E8

    Customizing GPT’s Personality and Brand Voice #S6E8
    Apr 23 2025
    In the last episode, we explored how to automate business workflows using GPT. Now, we’ll focus on how to make your GPT sound like your brand, ensuring consistency across all communications. By the end of this episode, you will know: How to define your brand’s tone and style for GPT.How to adjust GPT’s personality to fit your business needs.How to refine GPT’s responses to align with your brand identity. Let’s get started. Step 1: Defining Your Brand’s Tone and Style Every business has a unique communication style. Some brands sound friendly and casual, while others are formal and professional. Before customizing GPT, you need to define: Tone – Is your brand friendly, professional, authoritative, or playful?Formality level – Do you use casual or business-like language?Sentence length and complexity – Should responses be short and direct or detailed and informative? For example, if your company is a tech startup, you might want a modern, conversational tone. If you’re in finance or law, you may prefer a professional and precise tone. Decide what fits your business, then apply it to your GPT’s customization settings. Step 2: Setting Personality Traits for GPT You can adjust GPT’s personality to match your brand’s communication style. Some personality traits to consider: First, Friendly and engaging – Best for brands that focus on customer relationships and social engagement. Second, Authoritative and professional – Ideal for businesses in finance, legal, or B2B industries. Third, Creative and energetic – Perfect for marketing, advertising, and content-driven brands. Fourth, Supportive and empathetic – Great for customer service and HR applications. To set this up, use clear instructions in GPT’s settings. Example instruction for friendly and engaging: "Use a warm, conversational tone. Responses should feel like a friendly chat while remaining professional. Avoid overly formal language." Example instruction for authoritative and professional: "Maintain a formal and precise tone. Use business-appropriate language and well-structured responses. Avoid casual expressions." By setting clear personality traits, GPT will communicate in a way that feels natural for your brand. Step 3: Refining Word Choice and Phrasing GPT’s word choice plays a big role in brand consistency. Here’s how to refine it: First, decide on preferred terminology – If you use specific industry terms or jargon, ensure GPT includes them. Second, avoid unwanted phrases – If there are words your brand never uses, tell GPT to avoid them. Third, set phrase structures – If your brand prefers short, clear sentences, instruct GPT to follow that style. Example instruction: "Avoid corporate jargon. Use clear, easy-to-understand language. Keep responses structured with short sentences and direct messaging." Refining word choice ensures consistency in communication across emails, social media, and customer support. Step 4: Testing and Adjusting Responses Once you’ve customized GPT’s tone and personality, test its responses to see if they align with your brand. Try asking GPT business-related questions and evaluate: Does it sound like your company’s usual communication style?Is the level of formality appropriate?Are the responses engaging and clear? If the responses feel off, refine the instructions. For example, if responses are too formal, modify the instruction: "Make responses sound more conversational and engaging. Avoid overly technical terms." If responses are too informal, adjust to: "Maintain a professional and polished tone. Avoid casual expressions." Fine-tuning ensures GPT consistently reflects your brand’s voice. Example Prompts for Refining Brand Voice First, for a conversational brand, try this. "Write a product description in a fun and engaging tone. Keep it light and easy to read." Second, for a professional tone, try this. "Generate a company announcement with a formal and polished tone. Keep it business-like and structured." Third, for a friendly customer service approach, try this. "Write a customer support response that is empathetic and reassuring. Keep it helpful and polite." Fourth, for marketing copy, try this. "Create a social media post that sounds energetic and persuasive. Make it attention-grabbing." Fifth, for a legal or technical brand, try this. "Summarize this document in a professional and precise manner. Use formal business language." These refinements help GPT consistently match your brand’s voice. Now it is time for your action task. Step one. Define your brand’s tone and personality – Decide if it should be friendly, professional, or something else. Step two. Write down a few key words and phrases that define your company’s communication style. Step three. Update GPT’s instructions to match this style – Ensure it follows brand tone and avoids unwanted language. Step four. Test GPT by asking it to generate emails, social posts, or customer ...
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    6 m
  • Automating Business Workflows with Custom GPTs #S6E7

    Automating Business Workflows with Custom GPTs #S6E7
    Apr 22 2025
    In the last episode, we covered advanced prompt engineering techniques to refine your GPT’s responses. Now, we’re focusing on how to use custom GPTs to automate business workflows, saving you time and streamlining repetitive tasks. By the end of this episode, you will know: How to identify tasks that can be automated with GPT.How to integrate your GPT into existing workflows.How to set up automated processes for customer service, content creation, and internal operations. Let’s get started. Step 1: Identifying Tasks That Can Be Automated The first step to automation is identifying which tasks are repetitive and time-consuming. Common areas where GPT can help: First, customer support – Automating responses to frequently asked questions and customer inquiries. Second, email writing – Drafting, reviewing, and refining emails for sales, support, and follow-ups. Third, content creation – Generating social media posts, blog outlines, and marketing materials. Fourth, meeting summaries – Transcribing meetings and extracting key action points. Fifth, data analysis and reporting – Summarizing data, creating reports, and generating insights. Once you know what to automate, the next step is integrating GPT into your workflow. Step 2: Integrating Custom GPTs into Existing Tools Custom GPTs can work alongside business tools to improve efficiency. Ways to integrate GPT into your workflow: First, CRM and sales automation – Use GPT with tools like HubSpot or Salesforce to draft responses, summarize client interactions, and suggest follow-ups. Second, email automation – Connect GPT with Gmail or Outlook to generate email drafts and personalize responses automatically. Third, customer support chatbots – Integrate GPT with chat platforms like Intercom or Zendesk to handle common support questions. Fourth, document management – Use GPT with Google Docs or Notion to generate reports, summarize notes, and structure content. Fifth, marketing automation – Pair GPT with scheduling tools like Buffer or Hootsuite to generate and schedule content. By integrating GPT with these tools, businesses can reduce manual effort and improve efficiency. Step 3: Automating Customer Support with GPT One of the most effective use cases for automation is customer service. Here’s how to set up an AI-powered support assistant: First, upload an FAQ document with common customer inquiries. Second, train GPT on your company’s policies and tone for customer communication. Third, integrate GPT with your chatbot platform so it can automatically respond to basic questions. Fourth, set fallback responses to direct complex queries to a human agent when needed. Fifth, analyze GPT responses over time and refine the instructions for better accuracy. This reduces workload on support teams while ensuring faster response times for customers. Step 4: Using GPT for Content and Marketing Automation GPT can also automate content creation for blogs, social media, and email campaigns. Ways to use GPT for marketing: First, generate blog outlines and drafts based on trending topics in your industry. Second, write and schedule social media posts with a consistent brand voice. Third, create email sequences for newsletters, promotions, and lead nurturing. Fourth, summarize customer reviews and feedback to generate testimonials. Fifth, suggest keyword-optimized content for improved SEO visibility. By automating content workflows, businesses save time while maintaining high-quality output. Step 5: Automating Internal Business Processes Aside from external tasks, GPT can streamline internal operations. Examples of internal automation: First, HR and employee onboarding – Automate FAQs for new hires and generate training materials. Second, meeting notes and action items – GPT can summarize meetings and highlight key decisions. Third, contract review and document summaries – Automate the analysis of legal documents and policies. Fourth, workflow checklists and reminders – GPT can generate structured task lists and reminders. Fifth, data analysis and reporting – GPT can summarize trends, highlight key data points, and create business reports. Using GPT for internal automation reduces manual effort and improves productivity. Example Prompts for Automating Business Workflows First, for customer support automation, try this. "Generate a response to a customer asking about refund policies based on our uploaded guidelines." Second, for email automation, try this. "Write a personalized follow-up email for a client who attended our webinar, thanking them and suggesting next steps." Third, for marketing automation, try this. "Create three variations of a LinkedIn post promoting our latest product update." Fourth, for meeting summaries, try this. "Summarize the key takeaways from this transcript and list three action points for the team." Fifth, for document automation, try this. "Summarize this 10-page report into a one-paragraph ...
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    6 m
  • Advanced Prompt Engineering for Custom GPTs #S6E6

    Advanced Prompt Engineering for Custom GPTs #S6E6
    Apr 21 2025
    In the last episode, we covered how to fine-tune responses and improve output quality. Now, we’ll go even deeper by learning how to craft highly effective prompts to get the best possible responses from your custom GPT. By the end of this episode, you will know: How to structure prompts to get precise answers.How to use role-based prompting for better context.How to guide multi-step interactions for complex tasks.How to use prompt variations to refine responses further. Let’s get started. Step 1: Why Prompt Engineering Matters for Custom GPTs A custom GPT is only as good as the prompts you give it. Even with well-set instructions, you still need to ask the right questions in the right way to get the most useful responses. A poorly phrased prompt may result in: Overly generic or vague answers.Unnecessary or off-topic details.Responses that do not match your intended tone or style. On the other hand, well-crafted prompts ensure your GPT gives clear, specific, and structured responses. Let’s explore how to do that effectively. Step 2: Structuring Prompts for Clearer Responses A good prompt should set expectations for the type of answer you want. Instead of asking: "Can you write a business email?" Ask: "Write a professional business email to a client, confirming their order and providing a delivery estimate. Keep it concise, polite, and under 150 words." Notice the key elements in the improved version: Clear task – Write an email.Specific scenario – Confirm an order.Desired tone – Professional and polite.Length constraint – Under 150 words. The more precise your prompt, the better the output. Step 3: Using Role-Based Prompting for Context One of the best ways to improve GPT responses is assigning a role before asking a question. For example, instead of saying: "Explain SEO in simple terms." Try: "You are a digital marketing consultant. Explain SEO to a small business owner with no technical background. Use simple language and give three practical tips." By giving GPT a role, you help it frame responses in the right way. Examples of role-based prompts: "You are a customer service expert. Write a response to a client complaint about delayed shipping.""You are a content strategist. Generate five blog post ideas for a fitness brand.""You are a legal advisor. Summarize the key points of this contract in simple terms." When GPT understands its role, it produces more relevant responses. Step 4: Guiding Multi-Step Interactions Sometimes, you need GPT to complete a complex task in multiple steps. Instead of saying: "Write a marketing plan for a new product." Break it down into logical steps: "First, create an overview of the target audience and key market trends. Next, outline three core marketing strategies. Finally, suggest a 3-month execution plan with action steps." This approach keeps GPT focused and produces more structured responses. Other examples: "Step 1: Identify the main customer pain points. Step 2: Suggest three solutions our product provides. Step 3: Write a sales pitch incorporating these points.""First, generate five product name ideas. Next, write a short product description for each one. Then, pick the best two and refine the descriptions further." By breaking tasks into clear steps, GPT delivers more organized and actionable answers. Step 5: Refining Responses with Prompt Variations If GPT’s response isn’t quite right, you can modify the prompt slightly to improve it. For example, if GPT’s answer is too generic, refine the prompt: Original: "Write a social media post about our new product launch." Refined: "Write a short, engaging LinkedIn post announcing our new product launch. Use an exciting tone and include a strong call-to-action." If GPT gives too much detail, refine the prompt: Original: "Explain the benefits of email marketing." Refined: "In two sentences, summarize the top benefits of email marketing." If GPT misses a key detail, adjust the prompt: Original: "Write a follow-up email after a sales call." Refined: "Write a follow-up email after a sales call. Thank the client for their time, summarize key discussion points, and suggest a next step." Making small adjustments to prompts helps fine-tune GPT’s responses to get exactly what you need. Example Prompts for Improving GPT’s Responses First, if GPT gives vague answers, try this. "Provide three specific examples related to the topic." Second, if GPT's response lacks structure, try this. "Format the response using bullet points or numbered steps." Third, if GPT is too formal or robotic, try this. "Use a friendly and conversational tone." Fourth, if GPT's response is too long, try this. "Keep the answer under 100 words while covering key points." Fifth, if GPT misses key details, try this. "Ensure the response includes [specific detail] and explains why it matters." These small refinements greatly improve the quality of GPT’s output. Now it is time for your action task. Step one. Test role-based ...
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    6 m
  • Fine-Tuning Responses: How to Improve Output Quality #S6E5

    Fine-Tuning Responses: How to Improve Output Quality #S6E5
    Apr 20 2025
    In the last episode, we covered how to add background knowledge to your custom GPT to make it more informed. Now, we focus on how to refine and fine-tune responses to make them more accurate, relevant, and useful. By the end of this episode, you will know: How to refine instructions for better accuracy.How to adjust response style and formatting for clarity.How to eliminate vague or generic answers.How to test and improve responses iteratively. Let’s get started. Step 1: Identifying Issues in GPT Responses Before making improvements, it’s important to identify common issues in GPT responses. Here are some frequent problems: First, responses may be too vague or generic. Instead of giving clear details, GPT might use general phrases without useful information. Second, answers may be too long or too short. Some responses might provide too much unnecessary detail, while others might lack depth. Third, GPT may not sound natural or brand-consistent. If it doesn’t match your company’s voice, it can feel robotic or impersonal. Fourth, GPT may struggle with formatting. For example, it may return long paragraphs when bullet points or numbered lists would be easier to read. Fifth, GPT may not prioritize the right information. Sometimes, it may focus on minor details instead of answering the key question. By recognizing these issues, you can refine your GPT to produce better, more useful responses. Step 2: Refining Instructions for Accuracy To improve responses, you need to give GPT clearer instructions. For example, if responses are too vague, try this instruction: "Provide specific details and concrete examples in all responses. Avoid generic statements." If GPT adds unnecessary information, try: "Keep responses concise and relevant. Do not add extra details unless requested." If responses lack professionalism, use: "Ensure all answers are written in a professional and business-appropriate tone." If GPT is too technical for a general audience, refine it with: "Explain concepts in simple terms, avoiding jargon whenever possible." Precise instructions guide GPT toward better-quality answers. Step 3: Adjusting Response Style and Formatting The way responses are formatted affects readability. For better clarity, you can tell GPT to: Use bullet points for lists instead of long paragraphs.Use numbered steps when explaining processes.Summarize key points first, then provide details. Example instruction: "When explaining a process, break it into clear, numbered steps. Use bullet points when listing multiple items." Example GPT response before formatting: "To increase website traffic, you should focus on SEO. This includes optimizing keywords, improving page speed, and building backlinks. Another strategy is content marketing, where you create blogs and articles relevant to your audience. Social media can also help by driving engagement. Running paid ads is another good option, and email marketing can re-engage previous visitors." Better formatted response after refining: How to Increase Website Traffic: Optimize SEO – Improve page speed, use relevant keywords, and build backlinks.Create content – Publish valuable blog posts and articles.Use social media – Engage with your audience through posts and interactions.Run paid ads – Increase visibility with targeted ads.Leverage email marketing – Re-engage visitors with newsletters and offers. Formatting makes information clearer and easier to absorb. Step 4: Eliminating Generic or Incorrect Answers Sometimes GPT gives vague, overly broad, or incorrect answers. To fix this, guide GPT with: "Ensure all responses are backed by specific details from uploaded reference materials. Avoid making assumptions." "If the answer is uncertain, respond with ‘I don’t have that information’ instead of guessing." "Use precise language and avoid filler words like ‘might’ or ‘could possibly be’ unless necessary." This prevents misinformation and improves reliability. Step 5: Testing and Iterating for Best Results Once you’ve refined your GPT’s settings, it’s time to test responses. Ask GPT a variety of real-world questions based on your business use case. Example test prompts: "Write a customer service email for a delayed shipment.""Create a LinkedIn post promoting our latest service update.""Generate a response to a negative online review." After each response, check: Does it provide enough detail?Does it follow your brand’s tone?Is the formatting easy to read?Does it avoid unnecessary information? If anything feels off, go back and adjust your GPT’s instructions, formatting, or style settings. Example Prompts for Fine-Tuning GPT’s Responses First, if GPT is being too general, try this. "Ensure responses include at least two specific details or examples." Second, if responses are too formal or robotic, try this. "Use a natural, conversational tone while maintaining professionalism." Third, if answers are too long, try this. "Keep responses...
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    7 m
  • Adding Background Knowledge: How to Make GPT More Informed #S6E4

    Adding Background Knowledge: How to Make GPT More Informed #S6E4
    Apr 19 2025
    So far, we’ve covered how to create a custom GPT and refine its instructions. Now, it’s time to take it a step further by giving your GPT access to important background knowledge. By the end of this episode, you will know: What background knowledge is and why it matters for custom GPTs.How to upload and integrate files into your GPT.How to ensure your GPT pulls accurate information from reference materials. Let’s get started. Step 1: What is Background Knowledge and Why Does It Matter? A standard GPT pulls knowledge from general sources, meaning it may not know specific details about your business. Adding background knowledge allows your GPT to answer questions accurately based on your business-specific information. For example, if you run an e-commerce store, your GPT should know your return policy, shipping times, and product details. If you’re in consulting, your GPT should understand your service offerings and pricing structure. Adding background knowledge improves response quality and consistency while reducing errors. Step 2: What Type of Information Can You Add? You can upload files and reference documents to make your GPT more accurate and informed. Here are some examples of useful files to add: First, for customer support, you can upload FAQs, refund policies, and shipping details. Second, for marketing, you can provide brand voice guidelines, content strategy documents, and previous campaign materials. Third, for sales teams, you can include pricing sheets, pitch decks, and case studies. Fourth, for legal and compliance, you can upload company policies, contract templates, and regulatory guidelines. Fifth, for HR and training, you can provide employee handbooks, onboarding guides, and training manuals. The more relevant the documents, the smarter your GPT becomes. Step 3: How to Upload and Integrate Background Files To add background files, follow these steps: First, log in to OpenAI’s platform and access your custom GPT settings. Second, look for the section that allows you to upload documents. Third, select the files that contain important business information. Fourth, upload the documents and ensure they are properly formatted for readability. Fifth, test your GPT by asking it questions related to the uploaded files. If the GPT does not use the information correctly, try refining your instructions. Step 4: Ensuring GPT Pulls the Right Information Sometimes, GPT may not prioritize the uploaded knowledge correctly. To fix this, you can guide it with instructions. For example, if GPT gives generic answers instead of using the uploaded files, try this prompt: "Always refer to the uploaded company documents when answering questions related to our policies." If GPT mixes general knowledge with company-specific data, refine it with: "When providing answers, prioritize the information from uploaded reference files before using general AI knowledge." If GPT misinterprets details, guide it with: "Ensure all responses are strictly based on the provided business documents. Do not guess or assume information." These small refinements help make the GPT more reliable. Step 5: Testing and Refining Responses After uploading files, you need to test how well your GPT uses the background knowledge. Try asking specific business-related questions such as: "What is our refund policy?""How long does shipping take?""What services do we offer?" If the answers do not match the uploaded files, refine your instructions. If answers are too vague, try: "Give detailed responses based on the uploaded policies and guidelines." If answers are too long, try: "Summarize responses clearly while keeping the key details." If GPT is unsure about an answer, guide it with: "If the answer is not available in the uploaded documents, politely say that the information is unavailable." The more you test and adjust, the more reliable your GPT will become. Example Prompts to Improve Your GPT’s Background Knowledge Usage First, if GPT is not using uploaded documents, try this. "Always check the uploaded files first before answering business-related questions." Second, if GPT is not specific enough, try this. "Provide clear, detailed answers directly from the company documents." Third, if GPT is making assumptions, try this. "Only answer based on verified company information. If unsure, state that the answer is unavailable." Fourth, if GPT gives too much unnecessary detail, try this. "Summarize responses in a professional yet concise manner." Fifth, if GPT is inconsistent in responses, try this. "Ensure all answers remain consistent with the uploaded company policies and guidelines." These adjustments make the GPT more accurate and business-ready. Now it is time for your action task. Step one. Identify important documents that your GPT should use as background knowledge. Step two. Log in to OpenAI’s platform and upload the files into your custom GPT. Step three. Test your GPT by asking it questions related to the...
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    6 m
  • Understanding Custom Instructions: How to Shape GPT’s Behavior #S6E3

    Understanding Custom Instructions: How to Shape GPT’s Behavior #S6E3
    Apr 18 2025
    In the last episode, we went through how to create your own custom GPT. Now, it’s time to refine its behavior to ensure it responds exactly how you want. By the end of this episode, you will know: How to write clear and effective instructions for your GPT.How to control its tone, depth, and style of responses.How to refine and test your instructions to get the best results. Let’s get started. Step 1: What Are Custom Instructions? When you set up a custom GPT, instructions are the foundation of how it responds. Think of instructions as the personality and skill set of your GPT. You can tell it: What kind of language to use – Formal, casual, professional, or friendly.How detailed or concise responses should be.What type of information it should prioritize.How to handle common customer interactions. By fine-tuning instructions, you ensure your GPT doesn’t just give generic AI responses—it gives business-specific, high-quality answers. Step 2: Setting the Right Tone and Style The tone of your GPT should match your business. Here are a few examples: For a legal or financial assistant, the GPT should use a formal, professional tone.For a customer service chatbot, it should be friendly and polite.For a marketing content creator, it should be engaging and creative. To define this, use clear and direct language. Example instruction for a professional GPT: "Respond in a formal and concise manner. Avoid casual language. Provide well-structured responses with clear explanations." Example instruction for a friendly GPT: "Use a warm and conversational tone. Keep responses engaging and approachable. Add small friendly touches like ‘Happy to help!’ where appropriate." Example instruction for a marketing GPT: "Write in an energetic and persuasive tone. Use engaging hooks, call-to-action phrases, and short, impactful sentences." The more specific your instruction, the better the GPT will match your expectations. Step 3: Controlling Response Length and Depth Sometimes, GPT’s responses may be too short or too long. Here’s how to control response length: For short, precise answers: "Keep responses under 100 words and focus on the key details."For detailed, informative answers: "Provide a full explanation with examples. Responses should be at least 200 words."For structured responses: "Format answers using bullet points and clear headings where possible." Example refinement: If your GPT is too vague, you can say: "Always provide specific details and examples to clarify responses." If your GPT is too long-winded, you can say: "Keep answers brief and to the point. Avoid unnecessary elaboration." Small adjustments can make a big difference in how usable your GPT’s responses are. Step 4: Providing Context for Better Accuracy GPT works best when it has context about what you need. For example, if your GPT is helping with email writing, it needs to know: Who the emails are for.What kind of tone to use.What the typical structure of the emails should be. Example instruction: "When generating emails, use a polite and professional tone. Keep emails structured with a clear introduction, body, and closing statement. Address the recipient formally unless told otherwise." For a customer service assistant, an instruction might be: "Provide empathetic responses when handling customer complaints. Always acknowledge the customer’s concern before offering a solution." When GPT has clear context, it gives more accurate, useful responses. Step 5: Testing and Refining Instructions Once you’ve set up initial instructions, test your GPT by asking it common questions. Example test questions: "How would you respond to a customer asking for a refund?""Generate a LinkedIn post promoting our latest product.""Write an email thanking a client for their business." If the responses don’t match your expectations, refine your instructions. Example refinements: If responses feel robotic: "Make responses sound more natural and human-like."If responses are too generic: "Provide specific examples and details in your responses."If responses don’t follow the brand voice: "Ensure responses match the company’s warm and friendly tone." Custom GPTs improve the more you fine-tune them, so don’t be afraid to adjust instructions until you get the best results. Example Prompts for Fine-Tuning Custom Instructions Here are some useful prompts to help refine your GPT: First, if your GPT needs to sound more professional, try this. "Make responses more formal while maintaining clarity." Second, if the GPT is giving overly complex answers, try this. "Simplify responses so they are easy to understand for a general audience." Third, if the GPT is lacking detail, try this. "Provide more specific examples and avoid vague statements." Fourth, if you need structured responses, try this. "Organize responses with numbered lists or bullet points." Fifth, if the GPT needs a consistent brand voice, try this. "Ensure all responses sound like they...
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