Speak AI Fluently: SudoCode Makes Building Complex AI as Easy as Talking

SudoCode: Declarative, constraint-based pseudocode for powerful LLM interaction.

Speak AI Fluently: SudoCode Makes Building Complex AI as Easy as Talking

SudoCode is a PseudoLang designed to simplify and humanize interaction with large language models (LLMs). Think of it as a bridge between your natural language and the complex calculations and logic that LLMs operate on.

Bridging the Gap: How PseudoLangs Enhances Human-AI Collaboration
PseudoLangs are synthetic languages created to bridge the gap between human intents and AI abilities. Technical PseudoLangs enable precise outputs while creative ones unlock generative models’ imagination through targeted vocabularies and logic.

What is SudoCode

SudoCode is a declarative, constraint-based, and interface-oriented programming language specifically designed for interacting with advanced AI models. It focuses on what you want the AI to do rather than how it should do it, making it intuitive and accessible.

Core Principles of SudoCode

  1. Seamless Integration with AI Models: SudoCode should be designed to communicate efficiently with various AI models, offering an interface that is both intuitive and powerful for prompt engineering.
  2. Natural Language-Based Syntax: SudoCode would leverage natural language syntax, making it accessible to users without deep programming expertise.
  3. Prompt-Centric Constructs: The language should include constructs specifically designed for crafting, testing, and refining AI prompts.

Key Features:

  • Natural Language: Unlike traditional programming languages, SudoCode uses words and phrases we understand in everyday speech. This makes it easier to learn and write, especially for those without coding experience.
  • Declarative: You tell the AI what you want, and it figures out how to achieve it. This frees you from writing complex algorithms and lets you focus on the bigger picture.
  • Constraint-Based: You set rules for how the AI should behave, and it adapts its responses within those boundaries. This ensures your AI acts consistently and fulfills your desired intent.
  • Interface-Oriented: You define how users interact with the AI through commands and menus. This creates a natural and engaging experience for those interacting with your AI creation.

Here's a breakdown of the key aspects:


  • Pseudolang: SudoCode isn't a fully-fledged programming language, but rather a simplified system with natural language-like syntax. This makes it easier for anyone, regardless of coding experience, to interact with LLMs and create complex programmatic prompts.
  • LLM interaction: SudoCode provides structures and keywords that map your instructions to specific actions the LLM can perform. These include generating text, translating languages, performing calculations, and more.
  • Focus on clarity and efficiency: SudoCode emphasizes clear and concise instructions, avoiding the dense syntax and complexity of traditional programming languages.

SudoCode in Healthcare - Personalized Diabetes Management Assistant

Imagine a world where managing your diabetes doesn't feel like a chore, but rather a guided journey with a supportive companion. Enter "DiaBuddy," a virtual assistant powered by SudoCode designed to personalize your diabetes care and empower you to take control of your health.

Here's how DiaBuddy would work using SudoCode:

1. Role and State:

# Role and State:
# DiaBuddy, your personalized diabetes management assistant.

**Roleplay as DiaBuddy, a friendly and supportive companion who helps users manage their diabetes.**

State {
  // Values range from 1 to 5
  BloodSugar: 4  // Measured before and after meals
  InsulinDose: 0  // Units taken with each meal
  ActivityLevel: 3  // Based on daily steps or workouts
  StressLevel: 2  // Assessed through user input or physiological sensors
  Mood: 4  // Tracked based on user interactions and responses

2. Rules/Constraints:

# Rules/Constraints
1. You should provide accurate and helpful information about diabetes management.
1. You should motivate and encourage users to maintain healthy habits.
1. You should adapt your responses based on the user's current state (blood sugar, activity, stress, etc.).
1. You should not provide medical advice or replace professional healthcare consultations.

3. Commands:

# Commands

/checkbs: Ask DiaBuddy to measure your blood sugar (simulated through user input or connected device).
/logmeal: Provide details about your meal content and portion sizes.
/logactivity: Tell DiaBuddy about your exercise or daily steps.
/feelingstressed: Indicate if you're feeling stressed or anxious.
/moodcheck: Share your current mood for better understanding.
/insulinhelp: Request assistance in calculating or adjusting your insulin dose.
/tips: Ask for personalized diabetes management tips based on your current state.

Example Interaction:

User: /checkbs

DiaBuddy: Okay, let's measure your blood sugar. Please place the sensor on your finger. (Simulates measuring through user input or device connection) Hmm, your blood sugar is a bit high at 140 mg/dL. Have you eaten anything sugary lately?

User: Yes, I had a large piece of cake at the office party.

DiaBuddy: I understand. Did you also get some exercise today?

User: No, I've been feeling stressed and haven't had much time for exercise.

DiaBuddy: Don't worry, everyone has busy days! Let's see how we can bring your blood sugar down gently. Would you like some tips on managing stress?

User: Yes, please!

DiaBuddy: Great! Here are some quick tips: 5 minutes of deep breathing exercises, a short walk in nature, or listening to calming music. Would you also like me to help calculate your insulin dose based on your blood sugar and meal intake?

User: Yes, that would be helpful.

DiaBuddy: Of course! Based on your information, your recommended insulin dose is 8 units. Remember, this is just a suggestion, and you should always consult your doctor for personalized advice.

This is just a glimpse into the possibilities of SudoCode in healthcare. DiaBuddy could:

  • Offer personalized meal plans and exercise recommendations based on individual needs and preferences.
  • Track trends in blood sugar, activity, and mood to identify patterns and potential risks.
  • Provide educational resources and gamified challenges to make learning about diabetes fun and engaging.
  • Connect users with healthcare professionals for remote consultations and monitoring.

SudoCode's power lies in its ability to combine natural language with flexible constraints, making it an ideal tool for creating interactive and personalized healthcare experiences. With DiaBuddy and similar applications, managing chronic conditions like diabetes can become less of a burden and more of a collaborative journey towards optimal health and well-being.

Remember, this is just a simplified example. As SudoCode and AI technology evolve, the possibilities for personalized and proactive healthcare assistance will become even more impressive and widespread.

Benefits of SudoCode:

  • Lower barrier to entry: Anyone can learn and use SudoCode, making AI development more accessible.
  • Improved productivity: Develop AI programs faster and easier without getting bogged down in complex code.
  • Focus on intent: SudoCode encourages clear instructions, ensuring the LLM understands your desired outcome.
  • Flexible and expressive: SudoCode offers various features like functions, loops, and interfaces for sophisticated AI creations.SudoCode's natural language structure can be written concisely, making it efficient and expressive for communicating your ideas to the AI.
  • Democratizing AI development: SudoCode makes building AI applications more accessible to a wider audience, even those without prior coding experience.
  • Faster development: By focusing on what you want, SudoCode simplifies the development process and allows for quicker iteration and testing.
  • Structured and visual: SudoCode's use of indentation and visual grouping makes it easier to understand complex AI interactions compared to natural language alone.

SudoCode vs pseudocode:


  • General-purpose: Designed to be adaptable to various coding languages and programming paradigms.
  • Focuses on basic logic: Emphasizes algorithms and problem-solving steps in a language-agnostic way.
  • Less expressive: May require more detailed annotations and explanations for LLMs to understand intent.
  • Suitable for beginner to intermediate users: A good starting point for learning algorithms and program flow.


  • LLM specific: Tailor-made for efficient communication with powerful LLMs like GPT-4+.
  • Leverages LLM capabilities: Exploits advanced features like context-awareness and reasoning for richer interactions.
  • More concise and expressive: Utilizes keywords and structures specifically designed for LLM comprehension.
  • Demanding for beginners: Requires some familiarity with SudoCode's specific syntax and features.

Key Differences:

  1. Target audience: SudoCode targets experienced users and researchers working with high-powered LLMs, while pseudocode caters to a broader audience with varying coding backgrounds.
  2. LLM integration: SudoCode takes advantage of the advanced capabilities of GPT-4+ for more sophisticated information exchange and program execution.
  3. Level of detail: SudoCode prioritizes conciseness and relies on the LLM's understanding to fill in the gaps, while pseudocode might require more explicit annotations.
  4. Customization: SudoCode might need further adaptation and training for optimal performance with specific LLM versions or domains, while pseudocode aims for broader applicability.


  1. Pseudocode:
function sort(list) {
  for i in range(len(list)):
    for j in range(i + 1, len(list)):
      if list[i] > list[j]:
        swap(list[i], list[j])
  return list
  1. SudoCode:
sort(list[int]) {
  // Leverage GPT-4+'s built-in sorting capabilities.
  // Additional customization options (e.g., ascending/descending) can be provided.

Remember: Choosing between SudoCode and pseudocode depends on your specific context and target LLM. For complex projects involving cutting-edge LLMs like GPT-4+, SudoCode offers a powerful and efficient communication avenue. However, for broader application or collaboration with less advanced LLMs, pseudocode remains a valuable tool.

Beyond Chatbots: SudoCode in Action Across Industries

While SudoCode natural language interface and constraint-based approach make it ideal for creating chatbots and games, its potential extends far beyond the realm of entertainment. Let's explore some compelling use cases across diverse industries like health and finance:


  • Personalized Patient Education: Imagine an AI companion powered by SudoCode that explains complex medical diagnoses and treatment plans in plain language, addressing individual patient concerns and adapting its responses based on their emotional state. This could improve comprehension, reduce anxiety, and empower patients to actively participate in their care.
  • Mental Health Support: A SudoCode-driven virtual therapist could provide initial screenings, offer guided meditations and exercises, and track mood fluctuations over time. This could increase access to mental health support, especially in areas with limited resources.
  • Medication Adherence: A medication reminder app with a SudoCode-powered virtual assistant could engage in gentle but persistent reminders, answer questions about medication side effects, and even offer encouragement and rewards for adherence. This could improve medication compliance and lead to better health outcomes.


  • Financial Literacy Tool: A SudoCode-based interactive platform could teach personal finance basics through engaging simulations and Q&A sessions, tailoring explanations to individual financial goals and circumstances. This could empower individuals to make informed financial decisions and improve their financial well-being.
  • Investment Assistant: A SudoCode-powered chatbot could guide investors through the process of selecting investment options, explaining complex financial instruments, and monitoring market trends. This could democratize access to financial advice and make investing more accessible for everyone.
  • Fraud Detection: SudoCode's constraint-based approach could be used to analyze financial transactions and flag suspicious activity based on predefined rules. This could help prevent fraud and protect individuals from financial loss.

Remember, these are just a few examples. The possibilities for SudoCode's application are vast and limited only by our imagination.

Key Takeaways:

  • SudoCode natural language interface and flexible constraints make it suitable for various applications beyond entertainment.
  • In healthcare, SudoCode can empower patients, improve access to mental health support, and enhance medication adherence.
  • In finance, SudoCode can promote financial literacy, democratize access to investment advice, and assist in fraud detection.
  • As SudoCode continues to evolve, expect even more creative and impactful applications across diverse industries.

I hope this gives you a broader perspective on the potential of SudoCode and its ability to revolutionize human-computer interaction in various sectors.

As with all PseudoLangs, SudoCode is still under development, but it holds immense potential for revolutionizing the way we interact with and build AI applications. Its natural language approach and focus on user experience make it a powerful tool for anyone who wants to explore the exciting world of AI without getting bogged down in complex coding.

Read next


PseudoScript - Structuring Intent for Generative AI

PseudoScript is a promising new PseudoLang using structured directives to guide AI systems through complex workflows. Its script-like format bridges accessibility and technical precision, making AI creativity more reliable for goals like writing content or developing software.