In the dynamic world of content creation, starting with concise, informative, and entity-dense source is a goldmine. CoD (Chain of Density) is a popular approach to get that. However, it has a few shortcomings like the ability to work well with openAI API, process multiple topics articles usually have and miss information. That is why we updated it to the one below 😉

Understanding the “Chain of Density” in Content Creation

The concept of “chain of density” in content creation refers to producing text that is rich in relevant entities, facts, and metrics while being succinct and directly sourced. This method is particularly salient for social media agencies striving to maintain performance across multiple client accounts.

Why it Matters:

  1. Efficient: Reduces the need for multiple API calls, saving time and resources.
  2. Accurate: Ensures that all relevant entities are captured and presented clearly.
  3. Human Readable: Delivers high-quality, informative content that can actually be read.

Step-by-Step Guide to Optimize ChatGPT-4 API for “Chain of Density”

  • Don’t call it “Summary”: Instead of requesting a “summary,” instruct the API to generate concise, entity-dense results.
  • Eliminate Length Restraints: Remove any character or word count limits to ensure comprehensive coverage of entities.
  • Enable Multi-Topic Handling: Structure the prompt to manage different topics without merging them, ensuring clarity and precision.
  • Incorporate Source Information: Always position source information before the prompt. This ensures the API has the full context before generating responses.
  • Iterative Review and Refinement: After the initial output, review for any missing entities and integrate them seamlessly. This approach enhances the conciseness and precision of the final content.

Example Execution:

Source:

Prompt:

Source: https://boosterberg.com/blog/was-your-facebook-business-manager-account-hacked/

1. Break the source into independent top-level topics. Less topics are better. For example, if the source is about fruits, all subtopics will be within one topic. If the source is about apples and oranges, there will be two topics.

2. Generate concise entity-dense results for each topic that are:
Relevant: to the topic.
Specific: facts and metrics in concise matter (5 words or fewer).
Faithful: present in the source.
Anywhere: located in the source.

Make every word count. Rewrite the result to improve flow and make space for additional entities. Make space with fusion, compression, and removal of uninformative phrases like “the source discusses.”

The result needs to be highly dense and concise yet self-contained and easily understood without the source.

3. Review the original source again, identify all missing entities, and add them to the result. Missing entities can appear anywhere in the source.

4. Remove topics that you are aware of and can recall them without this source. Remember: Use the minimum number of words for each result.

Output:

Topics and Entity-Dense Results

The Hack Scheme

  • Hack advertised via Facebook ad.
  • $3,000 TikTok Ads campaign offer.
  • Unverified app from Google Play Store.
  • Login with Facebook credentials.
  • Hijack via authentication token.
  • Add fake users, remove legitimate ones.

Steps After Hacked

  • Make screenshots and file incident report.
  • Appeal for admin access restoration.
  • Report involved accounts as compromised.
  • Contact Facebook support repeatedly.

Prevention Measures

  • Log out of Facebook on all devices.
  • Change Facebook password.
  • Activate two-factor authentication (2FA).
  • Review and remove suspicious users.

Facebook’s Response

  • Aware but no current solution.
  • Developer Operations team inquiries.
  • Instructions for compromised data handling.

In Conclusion

By following this step-by-step guide, you can leverage the ChatGPT or OpenAI API to produce highly dense, informative, and concise content efficiently. This method not only enhances content quality but saves you time by meeting their specific informational needs in a precise and direct manner… just like Boosterberg does 😉