AIQueryLang
1.0.0
The artificial intelligence consultation language (Aiquerylang) is a powerful but simple tool to work with AI systems. AI has become an integral part of many fields, from business analysis to personal productivity, but accessing its complete potential often requires technical experience. Aiquerylang aims to make these capabilities accessible to all, already be a developer, data analyst or someone curious for AI.
Aiquerylang closes the gap between the technical interfaces of AI and natural human interaction by providing a structured but intuitive form of consulting AI systems. Think about him as a universal language to speak with AI.
Let's start with an easy to understand example. Suppose you want the AI to summarize a document for you. In Aiquerylang, you could write:
# Definición de la tarea
Tarea: Resumen
Objetivo: Proporcionar un resumen conciso de un documento.
# Documento de entrada
Entrada:
Documento = "ruta/al/documento.txt"
# Solicitud de resumen
Consulta: "Resume los puntos principales en 100 palabras o menos."
# Formato de salida
Salida:
Formato = "Texto"
That's all! The Aiquerylang program is direct and easy to read, which facilitates defining tasks without worrying about technical jargon.
Artificial intelligence has revolutionized many industries, but accessing its full potential is still surprisingly difficult for most users. Because? The answer lies in the limitations of current methods to interact with AI systems. We will explore these challenges and understand why a tool like Aiquerylang is indispensable.
Interact with AI systems today depends on writing applications in natural language. Although it is flexible, this approach is prone to bad interpretations. A small change in writing can generate completely different outputs, which makes it difficult to obtain consistent results.
Using AI effectively requires deep technical knowledge, whether understanding API, adjusting parameters or experimenting with different applications. For non -technical users, this complexity represents a significant barrier.
Most users depend on the trial and error to refine the applications and achieve the desired result. This iterative process is not only slow, but also frustrating, especially when AI responses are unpredictable.
When the task implies analyzing data, extracting information or processing multimedia content, requesting engineering becomes even more challenging. Managing these tasks effectively requires a structured and repeatable approach.
IA outputs are not usually directly compatible with other work systems or flows. Developers must write personalized code to make integration, adding complexity and delays the process.
Aiquerylang addresses these challenges by providing a structured, consistent and repeatable form of interacting with AI systems. Eliminate conjectures when writing applications and transforms interaction with AI into a reliable and efficient process. Here we explain why it is important:
Aiquerylang ensures that the same entry always produces the same exit. This deterministic behavior eliminates surprises and facilitates confidence in AI systems for critical tasks.
By simplifying the syntax and focusing on readability, Aiquerylang makes AI accessible to non -technical users. You do not need to be a programmer to use Aiquerylang effectively.
Aiquerylang programs are reusable and parameterizable, which means that they can integrate into larger systems or share with others. For example, an Aiquerylang program to analyze the feeling of the stock market can be used in multiple data sets with minimal adjustments.
With Aiquerylang, advanced tasks such as analyzing chat records or processing images can be broken down into clear steps. This saves time and reduces the necessary effort to obtain precise results.
The structured outputs of Aiquerylang can be easily integrated into other programs or systems. Either feeding data in a control panel or activating automated actions, Aiquerylang adapts without problems to existing workflows.
In summary, Aiquerylang allows users to unlock the true potential of AI by converting complexity into clarity and productivity frustration.
Aiquerylang is more than a tool: it is a paradigm shift in the way we interact with AI. By introducing structure and consistency, Aiquerylang directly addresses the challenges facing users when working with AI systems. Let's deepen its main advantages:
In natural language prompts, intention can be ambiguous. Aiquerylang eliminates this ambiguity through structured directives that clearly define tasks. For example:
Consulta: "Calcular la puntuación de sentimiento para cada símbolo de acción mencionado."
This explicit instruction ensures that AI understands exactly what is expected, reducing errors and confusion.
Aiquerylang breaks down the advanced tasks in logical and manageable steps. Instead of creating complex applications, users can define their step -by -step objectives. For example, analyze a chat record for shares of shares and their feeling becomes a series of clear directives:
Analizar: Tarea = "Extraer símbolos de acciones"
Refinar: Enfoque = "Análisis de sentimiento por símbolo de acción"
This modular approach makes even sophisticated tasks more accessible.
One of Aiquerylang's prominent characteristics is its ability to parameterize programs. This means that you can create reusable templates for common tasks. For example, a program to analyze customer feedback can parameterize to accept different data sets:
Entrada: ConjuntoDeDatos = {ruta_a_datos}
Consulta: "Resume el sentimiento de los clientes en el conjunto de datos."
This facilitates integrating Aiquerylang programs in larger systems, enabling automation and scalability.
The structured outputs of Aiquerylang, such as tables or lists similar to JSON, are designed to operate without problems with other tools and platforms. For example, feeling analysis results can be feed directly to a business intelligence panel, saving time and effort in data processing.
Traditional prompts of AI lack mechanisms to handle failures. Aiquerylang resolves this with directives such as Fallback , which allow users to define alternative behaviors in case something fails:
Fallback: "Proporcionar un resumen en texto plano si el análisis falla."
This guarantees robust and reliable performance, even in extreme cases.
Finally, Aiquerylang makes AI available to everyone. By eliminating the need for technical knowledge, it empowers users from all areas to take advantage of AI for their needs. You are already a data scientist or a small entrepreneur, Aiquerylang provides the necessary tools to succeed.
Aiquerylang is not just a consultation language: it is a bridge between people and AI. Convert complex tasks into simple and reusable programs that anyone can use, adapt and integrate into their workflows.
Aiquerylang has been designed to be simple, intuitive and coherent, allowing users to interact with AI systems effectively and efficiently. Below is a summary of the main directives and their syntax, along with examples to illustrate its use.
| Directive | Description | Example |
|---|---|---|
| Task | Define the general objective of the program or the action you want to perform. | Tarea: Análisis de Sentimiento |
| Entrance | Specify the data that will be used in the process. It can be a file, a URL, or a data set. | Entrada: Imagen = "ruta/a/imagen.jpg" |
| Consultation | Request specific action or detailed information. It is used to define what is expected of AI. | Consulta: "¿Cuál es el sentimiento de la imagen?" |
| Exit | Define the format and details of the expected result. It can be text, table, list, etc. | Salida: Formato = "Texto" |
| Analyze | Indicates that a specific analysis should be performed within the task, such as information or classification. | Analizar: Tarea = "Extraer símbolos de acciones de texto" |
| Refine | Modify or refine a previous analysis or consultation to obtain more detailed or focused results. | Refinar: Enfoque = "Analizar sentimiento por símbolo de acción" |
| Parameter | It allows to define values or variables that can be reused or modified in different parts of the program. | Parámetro: Umbral = 0.75 |
| Fallback | It provides an alternative action if a task or consultation fails. | Fallback: "Proporcionar un resumen en texto plano si el análisis de sentimiento falla." |
| Repeat | Indicates that a task or consultation should be repeated under certain conditions or during a specific number of iterations. | Repetir: Tarea = "Extraer datos de todas las páginas del conjunto de documentos" |
| Condition | Define a logical condition that must be met to execute a task or consultation. | Condición: Si "Tarea" es "Análisis de Sentimiento", entonces ejecutar "Consulta: Resumir" |
Sentimation Analysis in Text
This example shows how to configure a program to perform a feeling analysis in a text data set:
# Definir la tarea
Tarea: Análisis de Sentimiento
# Especificar los datos de entrada
Entrada: ConjuntoDeDatos = "ruta/a/dataset.txt"
# Solicitar la acción de análisis
Consulta: "Determina el sentimiento de cada comentario en el conjunto de datos"
# Definir el formato de salida
Salida: Formato = "Tabla"
In this case, Aiquerylang will take the text file and analyze the feeling of each comment, delivering the results in tabular format.
Feeling analysis by symbols of actions
For a more specific analysis, such as identifying the feeling of comments on symbols of actions in a chat:
# Definir la tarea
Tarea: Análisis de Sentimiento por Símbolos de Acciones
# Especificar los datos de entrada
Entrada: Chat = "ruta/a/chat.txt"
# Análisis específico
Analizar: Tarea = "Extraer símbolos de acciones"
Refinar: Enfoque = "Análisis de sentimiento por símbolo de acción"
# Solicitar la consulta
Consulta: "¿Cuál es el sentimiento asociado con el símbolo de acción 'AAPL'?"
Fallback errors management
If a consultation cannot be completed, the Fallback Directive can be used to provide an alternative response:
# Definir la tarea
Tarea: Análisis de Imagen
# Especificar los datos de entrada
Entrada: Imagen = "ruta/a/imagen.jpg"
# Solicitar el análisis
Consulta: "¿Cuál es el objeto principal en la imagen?"
# Definir la acción de fallback en caso de error
Fallback: "Si no se puede identificar el objeto, proporcionar una descripción básica de la imagen."
Repetition of tasks with conditions
To perform a task repeatedly under certain conditions, the directive is used Repetir :
# Definir la tarea
Tarea: Recolectar Datos
# Especificar los parámetros
Parámetro: Páginas = 5
# Repetir la tarea para cada página
Repetir: Tarea = "Recolectar datos de la página"
Condición: Si "Página" <= Páginas
Aiquerylang uses a logical and legible structure that facilitates the creation of programs, even for those without technical experience. The main directives are used to define tasks, consultations and results, while directives such as Fallback , Repetir and Condición allow to handle exceptions and iterations, providing total control over the process.
