How to Generate high Quality Answers from your AI

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Authored by Douglas Ross

At ADAPTOVATE in our journey of working with numerous clients globally, we’ve delved deep into how businesses can maximize the benefits of generative AI tools like Chat GPT-4, Microsoft Copilot, and others. Through this experience, patterns are emerging, underscored by research, that I am eager to share. The challenge of extracting valuable outcomes from generative AI at scale within organisations is formidable. In this blog post, I’ll share my insights on the three pivotal elements for generating quality answers with generative AI. Moreover, I will discuss how AI can be leveraged to enhance efficiency and effectiveness in processes by synergising with human intelligence.

It’s worth noting that the current buzz around topic-specific Large Language Models (LLMs) proposes specialised solutions where training and fine tuning or LLMs by data scientists are potentially the future. However, this article focuses on a more universally applicable strategy: optimising the use of tools like ChatGPT-4 for those of us who seek the best answers without delving into AI training or fine-tuning.

1. Know exactly what success with AI looks like for your business

Success with AI isn’t just a tech goal; it’s a new frontier for your business’s growth. Here’s how you hit the ground running:

Aim for Real Impact, Not Just Tech Glamour

The flash of AI is alluring, but what does real impact look like for you? It’s about streamlining customer service with an AI that can predict and solve user issues before they become problems, just like how some banks now use AI to detect fraud in milliseconds. Your goal? Use AI to do more than just impress; use it to make a tangible difference.

Get Your Team AI-Savvy

Imagine a team that speaks AI as fluently as they do their business lingo. Start with workshops and hands-on sessions—think of it as teaching them to fish in the digital pond. It’s not about turning everyone into data scientists, but having them comfortable enough to brainstorm alongside AI, improving marketing strategies or optimizing logistics.

Start Small, Scale Fast

Don’t boil the ocean. Pick a department or process that could benefit the most from AI and start there. Once you’ve nailed it, scale up quickly. It’s like learning to make a killer pasta dish and then opening a restaurant. For instance, a retailer might begin by using AI to personalize online shopping experiences and then roll out AI to manage inventory across all stores.

Measure What Matters

Lastly, keep score like a hawk. Is AI reducing costs? Is it making processes faster? Are your customers happier? Set clear KPIs, track them relentlessly, and be ready to pivot. Remember, AI success is about the scoreboard—reduced customer wait times, sales spikes, or even employee satisfaction.

In plain speak? Make AI work for you, teach your crew to use it, start in your comfort zone, then take over the world, and always, always keep your eye on the prize.

2. Prioritise the top five documents for best results

ChatGPT4 now cleverly uses photos or documents you share to enhance its replies. Interestingly, while feeding more data into AI during training makes it smarter, when you’re actually using it, sticking to fewer than five key documents is best for top-notch results.

In Research from Stanford University, as shown in the diagram above, all LLMs including GPT-4 the performance still degrades when relevant information occurs in the middle of the context rather than in the first few documents. So to get good answers, when providing an LLM documents to use as context in the answer, prioritise the top five documents for the best results.

3. Be specific and clear in your Prompt instructions

When you ask ChatGPT4 to do or answer something, you are writing a request at what is called an AI Prompt. The most important thing you can do, to get a great answer is to make sure that the clarity and specificity of your prompts are as good as possible. Here’s how to refine your prompts:


Be Direct and clear: Avoid ambiguity by using direct and clear language. The clearer you are, the less likely AI will get it wrong.

Good examples include:

  • “Write a 500-word essay on the impact of renewable energy sources on global warming.”

oWhy it’s good: This prompt is specific about the task (writing an essay), the topic (impact of renewable energy on global warming), and the length (500 words).

  • “Create a digital painting of a serene lake at sunset in an impressionist style.”

oWhy it’s good: It clearly defines the subject (a serene lake at sunset), the medium (digital painting), and the style (impressionist).

Bad examples include:

  • “Do something about global warming.”

oWhy it’s bad: This prompt is extremely vague. It’s unclear what the AI is being asked to do (Research? Write an essay? Provide solutions?) and lacks specifics on the task.

  • “Draw something cool.”

oWhy it’s bad: “Cool” is subjective, and without more specifics, the AI has no direction on subject, style, medium, or context. The result could be anything and likely won’t match the user’s expectations.

Craft Detailed Questions: Start by formulating your question/task with as much detail as possible without being redundant. A well-defined question helps the AI to understand the context and the specificity of the information you seek.

Good examples include:

  • “List the steps required to incorporate a business in California, including necessary documents and associated fees, as of 2023.”

oWhy it’s good: This prompt is detailed and specific about the task (listing steps for business incorporation), the location (California), and the timeframe (as of 2023). It clearly outlines the scope of the information needed (steps, documents, fees).

Bad examples include:

  • “Tell me about incorporating a business.”

oWhy it’s bad: This prompt lacks specifics about the jurisdiction, what aspect of incorporation is of interest, and any time-sensitive factors that might affect the answer.

Set Clear Expectations: If you have a specific format or structure in mind for the answer, mention it in your prompt. For example, if you’re looking for a list, a detailed explanation, or a brief overview, make that clear.

Good examples include:

  • “Provide a detailed comparison table of the features, pricing, and user reviews of the iPhone 13 and Samsung Galaxy S21, including headings for each category.”

oWhy it’s good: It explicitly asks for a comparison in table format, details what to compare (features, pricing, user reviews), and mentions to include headings, guiding the AI on how to organise the information.

Bad examples include:

  • “Compare the iPhone 13 and Samsung Galaxy S21.”

oWhy it’s bad: Lacking instructions on the format (e.g., table, list, paragraphs) or specific aspects to compare leaves too much room for interpretation, potentially resulting in a mismatch between the user’s expectations and the AI’s response.

At ADAPTOVATE, we’re the secret sauce to your company’s next-level evolution. We’re not just in the business of change; we’re in the business of revolution across industries and borders. Our game plan is razor-sharp—streamline your operations, rewire your company’s DNA for efficiency, turn bold strategies into action, and infuse your culture with the kind of forward-thinking that leads to breakthroughs.


We’re the coaches for the digital age, transforming your team into AI whizzes. This isn’t just about tech; it’s about sparking a renaissance of creativity, dialing up productivity, and opening the floodgates of innovation. We pinpoint where generative AI can give you the edge, train your champions to wield these digital tools like masters, and mentor them to transform AI output into smarter decisions and slick problem-solving. Ready to play in the big leagues? Let’s get started.

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