How to avoid fluff in AI Content - Deep Research and Prompt Chains!!

Who hasn’t felt that the content generated by ChatGPT is shit! 9 out of 10 times it’s bland generic content which will make you go to sleep or worse make you puke!

AI content generation, many individuals and organizations are falling short of realizing the full potential of these innovative technologies. Instead of pushing the boundaries and striving for excellence, they are only achieving average, generic content.?

This is largely due to a widespread misunderstanding of how to effectively utilize Language Models (LLMs).

These individuals mistakenly believe that simply by inputting a topic into a LLM, they can expect the system to generate outstanding content.?

However, this is a fundamental misconception. The process is not as simple as merely asking the LLM to produce content on a given topic and then waiting for excellent results to materialize.

The truth is, to harness the true power of LLMs, one has to understand their intricacies and nuances.?

Tools and strategies are constantly evolving and I will give you there are 3 ways to avoid fluff in your AI content.

1. Deep Research
2. Prompt Chains
3. Bringing a quirky POV to your article

1) Deep Research

Many writers just write their article without doing adequate research on the topic!?

For a well written article, it must have enough “meat” to make the user learn something - perhaps a new insight, a new way of looking at things or an interesting perspective with fresh examples and use cases.

The nature of the article may also require that you need to discuss the topic with experts and understand their nuances.

Fortunately, GenAI makes this part of the step of avoiding fluff in AI content much easier!?

Google has been a good friend but thanks to GenAI there are many other choices - Perplexity does a pretty good job here! One major limitation with Perlexity is that the answers can be shallow and lack the research depth for writing insightful articles.

Also a small plug for meerkat’s AI Deep Researcher is a great tool for incorporating multiple viewpoints, expert opinions etc. To learn more about Meerkats Deep Researcher and try it out: https://apps.meerkats.ai/crux-ai-researcher

2) Prompt Chains

What are Prompt Chains?

Prompt chains involve a series of interconnected prompts where the output of one prompt serves as the input for the next.?

This chaining mechanism allows for the decomposition of complex tasks into simpler sub-tasks, each handled by a specific prompt.?

The process can be visualized as a flowchart where each node represents a prompt, and the edges represent the flow of information between these prompts.

1. Initial Prompt: Starts the process by setting context or asking a broad question.
2. Intermediate Prompts: Refine the task, request clarifications, or perform sub-tasks.
3. Final Prompt: Synthesizes previous information to provide a comprehensive answer.

Advantages

Accuracy

Prompt chains, by breaking tasks into smaller steps, can increase AI accuracy. Each step reduces error chances by focusing on specific sub-tasks.

Flexibility

Prompt chains offer adaptability for various tasks. Changes in sequence and content make them suitable for different domains.

Scalability

Prompt chains scale effectively. As AI advances, more prompts can tackle complex tasks, avoiding single prompt overload.

3) Finally, quirky Point of View (POV) for your topic

The final point that will make the article or copy stand out is if you can come up with a quirky POV. What is a quirky POV??

It’s a stand that may be debatable but not wrong!?

Readers like when the articles present a controversial POV and are more likely to take note of what you have to say! When you include this step in your Prompt Chain, you can be guaranteed your content will shine and becomes shareable.

Onward and ahead with kick-ass AI content that converts and delights - no fluff, no BS.?

Try meerkats AI deep researcher tool here.