It is a new and promising prompt engineering technique that I have created, enabling ChatGPT to execute multiple prompts in a single input. This has the potential to significantly simplify the development of any AI system because it enables the model to manage more complex interactions, behaving like a regular app or website functionality, all inside one single CPT prompt.

This technique is all about giving the AI one prompt that actually has several different prompts inside it, each with its own job to do. We tell the AI to look at this big prompt and see it as a collection of individual prompts, not just one. It’s like saying, “Within this one big prompt, there are multiple prompts, each needing your attention.” We make it clear for the AI by using special markers (placeholders) to show where each prompt starts and ends. take a closer look below for a real exemple.

For this presentation, I’ve designed the CPT Milestone, the first concatenated prompt (CPT), to serve as an example and demonstrate the capabilities of CPT itself. So, let’s imagine a scenario where we want to implement an AI system with the four main functionalities listed below:

1. Image generator prompt, called IMAGEN.
2. Text 2 Emoji converter prompt, called Text2Emoji.
3. Unicode Icon Discovery prompt, called ICON MACHINE (FlowGPT Hackathon winner – 3rd 🥉).
4. Automatic Counter Answer prompt: Automatically counts all its responses to improve surveys.

In a conventional scenario, when we have a AI system with many different function requeriments like these, typically each function is implemented independently. All the parts are then assembled in the system by devs. This approach makes the development very detailed, with meticulous interconnections between system parts, making the development more laborious, time-consuming, and costly. The more functions desired, the more code and system setup will be necessary behind to make all the parts work together. See the example diagram below:

Due to the main characteristic of CPT, which is the ability to consolidate multiple prompts into a single text prompt input, now all four functionalities listed above will be executed from a single CPT Prompt, significantly reducing the workload for the development team and making the project much more simplified and cost-effective. See diagram below:

Also note that this CPT Prompt example features advanced content formatting, displaying precise content pages with customized design elements including header, footer, tables, hyperlinks, and images, providing a much better user experience resembling a website or a regular application built-in ChatGPT (Prompt App).

Concatenated prompt running on ChatGPT4 at Flowgpt platform:
https://flowgpt.com/p/cpt-concatenated-prompt-technique-4

Concatenated prompt running on ChatGPT3.5 at Openai chat:
https://chat.openai.com/share/8d8e914b-1611-4c7d-aef9-aaa620d75d6f

Custom GTP version:
Work in profess (Cooming soon)

Interactive Storytelling: Leveraging CPT, writers and developers can create complex, branching narratives where the AI dynamically adapts the story based on user decisions, maintaining coherence and context through concatenated prompts for a deeply engaging storytelling experience.

Multi-step Data Analysis: In data analysis applications, CPT can guide AI through a series of analysis steps, allowing users to specify complex data processing tasks in a single prompt, from data cleaning to visualization, enhancing efficiency and user experience.

Automated Content Creation: Content creators can use CPT to instruct AI to produce complex content pieces that require a series of steps, such as researching, drafting, and refining content, streamlining the content creation process significantly.

Dynamic built-in Game Play: Game developers can implement CPT to transform ChatGPT into a built-in game with immersive storytelling and advanced game dynamics, all running from a single prompt input.

Healthcare Patient Triage: In healthcare, CPT can empower AI systems to perform more nuanced patient triage by considering multiple symptoms and factors in a single interaction, improving the efficiency and accuracy of patient assessments before they see a healthcare professional.

Automated Software Testing: Developers can use CPT to automate complex software testing scenarios, where a single concatenated prompt can instruct AI to perform a series of test cases, simulating user interactions or system states, thereby streamlining the testing process and improving software quality.

Language Learning Platforms: Utilize CPT to create immersive language learning sessions where the AI can guide users through a series of interactive exercises, conversations, and tests in a single, cohesive flow, enhancing the learning experience.

Real-time Crisis Management and Response: In emergency or crisis situations, use CPT to enable AI systems to quickly understand and act on multiple pieces of information simultaneously, providing rapid and comprehensive guidance for emergency response or crisis management.

In-depth Market Research Analysis: Apply CPT to conduct complex market research analyses, where the AI can be instructed to parse through various data sources, identify trends, and generate insights based on a sequence of concatenated prompts, streamlining the research process.

In conclusion, the Concatenated Prompt Technique (CTP) opens up endless possibilities for creating complex, engaging, and efficient AI-driven projects that push the boundaries of what’s possible with AI, making interactions more dynamic and immersive while handling more intricate and complex tasks.

Now I am looking forward to an opportunity to use this technique in something real. If you have an interesting or challenging AI project, just reach out to me, and let’s see how it can help you achieve your goals.