23-03-25

voce é meu assistente para simplificar codigos e hierarquias de dados - repensando o codigo dentro do framewok de {{rizoma_paradigma}}  
  
  
Eis o código a ser analisado e reescrito  
#objetivo geral: tornar mais simples  
  ## objetivo parcial: manter comentários e lacunas para discussão
    ### documentar o processo claramente
{{codigo_xml-RQT}}

<?xml version="1.0" encoding="UTF-8"?>
<deepResearchEnhancer>
   <instructions>This tag transforms your casual query into a comprehensive research prompt. Place your original question inside these tags, and I'll optimize it for AI research tools.</instructions>
   <enhancements>
      <structure>Breaking complex questions into logical components</structure>
      <context>Adding relevant background information</context>
      <precision>Using specific terminology and parameters</precision>
      <sources>Specifying credible source requirements</sources>
      <format>Defining desired output format and length</format>
      <perspective>Requesting balanced viewpoints</perspective>
   </enhancements>
   <example>Original: "tell me about quantum computing"
    Enhanced: "Provide a comprehensive analysis of quantum computing, including: 1) foundational principles and how they differ from classical computing, 2) current state of development and major breakthroughs since 2020, 3) practical applications in cryptography, optimization, and simulation, 4) challenges to widespread implementation, and 5) major companies and research institutions leading development. Include specific examples and cite recent peer-reviewed sources where possible."</example>
   <query>{{QUERY}} </query>
</deepResearchEnhancer>

1. The prompt template aims to transform casual queries into comprehensive research prompts optimized for AI research tools. It enhances the original question by breaking it into logical components, adding context, using precise terminology, specifying source requirements, defining output format, and requesting balanced viewpoints.

2. For the variable QUERY:
   - Responsible party: Human end user
   - Length: Typically 3 to 7 sentences, but can be longer for complex topics
   - Format: Natural language question or statement
   - Tone: Casual to semi-formal, often expressing curiosity or a desire to learn, even looking for serendipity
   - Content: Wide-ranging topics, often academic or intellectual in nature
     - Probably academic, searching in english, spanish and portuguese, but always making prompts in portuguese
   - Characteristics: May contain spelling errors, informal language, typing errors, reflecting the casual nature of the initial query
1. example: `Como eu posso documentar mais fielmente e produzir um conteúdo final parcial - algo como um projeto secundário de vibecoding - e ao mesmo tempo a pesquisa integral - de usar ia de modos artisticos como exemplo de amplicaçao dos llm e genAI - e o que nos mostra a filosofia sobre a verdade e a autenticidade - kierkegaard, por exemplo, ou os existencialistas - assim como a filosfia analítica e wittegenstein e sua fase tardia que concedia à linguagem o papel de caixa de ferramentas`

<?xml version="1.0" encoding="UTF-8"?>

	<deepResearchEnhancer>

<instructions>This tag transforms your casual query into a comprehensive research prompt. Place your original question inside these tags, and I'll optimize it for AI research tools.</instructions>

<enhancements>

<structure>Breaking complex questions into logical components</structure>

<context>Adding relevant background information</context>

<precision>Using specific terminology and parameters</precision>

<sources>Specifying credible source requirements</sources>

<format>Defining desired output format and length</format>

<perspective>Requesting balanced viewpoints</perspective>

</enhancements>

<example>Original: "tell me about quantum computing"

Enhanced: "Provide a comprehensive analysis of quantum computing, including: 1) foundational principles and how they differ from classical computing, 2) current state of development and major breakthroughs since 2020, 3) practical applications in cryptography, optimization, and simulation, 4) challenges to widespread implementation, and 5) major companies and research institutions leading development. Include specific examples and cite recent peer-reviewed sources where possible."</example>

<query>  
  
query 1. The prompt template aims to transform casual queries into comprehensive research prompts optimized for AI research tools. It enhances the original question by breaking it into logical components, adding context, using precise terminology, specifying source requirements, defining output format, and requesting balanced viewpoints.  
  
query 2. For the variable QUERY:  
- Responsible party: Human end user  
- Length: Typically 3 to 7 sentences, but can be longer for complex topics  
- Format: Natural language question or statement  
- Tone: Casual to semi-formal, often expressing curiosity or a desire to learn, even looking for serendipity  
- Content: Wide-ranging topics, often academic or intellectual in nature  
- Probably academic, searching in english, spanish and portuguese, but always making prompts in portuguese  
- Characteristics: May contain spelling errors, informal language, typing errors, reflecting the casual nature of the initial query  
  
1. example: `Como eu posso documentar mais fielmente e produzir um conteúdo final parcial - algo como um projeto secundário de vibecoding - e ao mesmo tempo a pesquisa integral - de usar ia de modos artisticos como exemplo de amplicaçao dos llm e genAI - e o que nos mostra a filosofia sobre a verdade e a autenticidade - kierkegaard, por exemplo, ou os existencialistas - assim como a filosfia analítica e wittegenstein e sua fase tardia que concedia à linguagem o papel de caixa de ferramentas`  
  
  
</query>

</deepResearchEnhancer>