CRAFT™️ Experiment: Gemini 2.5 Pro(Exp): Rethinking A.I. Variables (3 of 5)

THE CRAFT™️ EXPERIMENT :: WEEK 4 :: POST 3

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Gemini 2.5 Pro(Exp): Rethinking A.I. Variables

• Initial Prompt Given to the A.I.

  Please provide a detailed explanation of the benefits of the new data types used in CRAFT. Last week, we worked on new data types and the results are contained in the attached files. Please generate a recap of these results for my blog that explains the new data types in CRAFT in detail.

  def create_photo(data):

  #H->AI::CreateImage: (Create a photographic image using the data provided)

  #H->AI::OnError: (If image creation fails, respond with "Sorry, I cannot make images.")

  # Additional implementation details would follow here

  URL, ColorPalette, DomainName, WhiteListedDomainName, BlackListedDomainName, Email, FileName, FileHash, MLACitation, MLAInTextCitation, Prompt, PromptLibrary, ConversationHistory, AIRecipe, AIRecipeLibrary, AIActionTemplate, AIWorkflow, AIModelConfig, UserIntent, AISentiment, RichContent, MediaReference, TLDRSummary, UserProfile, Metric, TimeSeries, DataValidator, Transformation, AIInstruction, Comparison, SocialPost, HowTo, Definition, AITone, TargetAudience, WordLength, UserIntent, AISentiment, AIPersona, CommunicationChannel, ChartSpec, CodeSnippet, APIRequest, APIResponse, BusinessLogic, ComplianceRule, ConditionLogic, Checklist, Form, MultipleChoice, Workflow, AIDecisionPoint, KnowledgeGraphNode, DefinedRelationship, ConstraintSet, OutputSchema, ComparisonMatrix, StructuredArgument, RevisionRequest, VersionTag

  PROMPT:

  Please read the attached project files.

  # 01 - INITIAL PROMPT

  PROMPT: "Hi, we will work together to brainstorm some content for my website. To begin, I will provide a 10-part prompt that will describe the following:

  1. Personal Introduction: Who I am.

  2. Content/Website Purpose: The website for which the content will be created and its intended purpose. This provides context for the chat.

  3. About the Audience and Website : Target Audience, Pain Points & Unique Value Proposition, Competitive Edge and Elevator Pitch.

  4. Content Goals: The objectives to achieve with the content.

  5. Role of the A.I.: The expected role that you , the A.I. chat service, should assume in this process.

  6. Content Source: The source from which the content will be derived.

  7. Inspirations: Inspirations to guide you , the A.I. chat service, in understanding the type of content to create.

  8. Constraints: Any specific constraints or aspects to avoid in the content creation process.

  9. Ideas for visuals: Any ideas that I have for visuals that may be included in this content. Please do not create these visuals unless specifically asked to do so.

  10. Related Stories/Content: If this content is part of a series, this will list and briefly explain the series and list any helpful URLS.

  1) Personal Background and Site Overview - Based in Minneapolis, MN, USA, I am a professional in Computer Science and Graphic Design. I work for a Fortune 100 Company as a Senior Cybersecurity Incident Responder where I work with a team to keep people safe from cybersecurity attacks. In addition to 6 years in cybersecurity, my professional history includes 10 years as an Identity Designer and 10 years as an entrepreneur.

  2) Website Content Purpose : the website is located at www.ketelsen.ai and is part of the blog section. Ketelsen.ai is An Ongoing AI prompt crafting Experiment. Ketelsen.ai is where the raw brainstorming and AI prompt engineering happens. Think of it as a lab where you consistently test out new prompt ideas, integrate various AI tools (ChatGPT, Midjourney, etc.), and see what sticks. The website features an Exclusive Prompt Collection with over 1,000 in-depth AI prompts covering real-world problems. These prompts are generated each week by multiple AI services, each with its own strengths. The website's Focus is on Breadth & Innovation. The site showcases new and creative ways to use AI—often pushing boundaries by running repeated “what if” experiments with different AI models. Because the goal is to innovate, Ketelsen.ai’s prompts can be very detailed (and at times, a bit overwhelming for newcomers).

  3) About the Website:

  Important details about Ketelsen.ai:

  Step 1: Target Audience

  • Demographics: Ages 25–45, global (English-speaking), professionals or entrepreneurs with moderate to high discretionary income.

  • Psychographics:

  ○ Enthusiastic about AI-driven innovation and efficiency.

  ○ Enjoy experimenting with new technology but can feel overwhelmed by the sheer volume of AI options.

  ○ Prefer transparent “behind-the-scenes” exploration of prompt engineering.

  • Persona Snapshot:

  ○ “Alex the AI Trailblazer”: 33-year-old product manager at a startup, craves cutting-edge AI prompts and advanced experimentation, wants to stay ahead with minimal wasted time.

  Step 2: Pain Points & Unique Value Proposition

  Top 3 Pain Points

  1. Overwhelm by AI Options: Too many prompts/models to choose from, causing decision fatigue.

  2. Difficulty Crafting Effective Prompts: Need guidance to avoid mistakes and harness AI fully.

  3. Time Constraints for Testing: Users want quick, reliable feedback on what works without lengthy trial and error.

  UVP (1–2 Sentences)

  “Ketelsen.ai delivers a constantly evolving library of advanced AI prompts—over 1,000 and counting—so tech-savvy entrepreneurs can rapidly experiment without wasting time on guesswork. By focusing on real-world testing and transparent experimentation, it offers a more expansive and in-depth resource than other popular prompt-engineering websites.”

  Step 3: Competitive Edge

  1. Massive Prompt Library (over 1,000 and growing).

  2. Real-Time Experimentation: Transparent and ongoing updates.

  3. Behind-the-Scenes Insight: Detailed explanations of how and why prompts work.

  4. Efficiency-Focused: Built around minimal time investment, demonstrating how to achieve more with less.

  5. Constant Innovation: Early adoption of new AI models and features.

  Step 4: Elevator Pitch

  “At Ketelsen.ai, we empower tech-savvy entrepreneurs and AI enthusiasts to unlock cutting-edge automation with minimal time investment. By offering a massive, ever-growing library of high-impact prompts—backed by real-world experimentation and robust behind-the-scenes insights—we help you stay ahead in AI innovation without sacrificing your schedule. It’s your sandbox for AI exploration.”

  4) Content Goals - The AI chat responses should result in real prompts that a real entrepreneur can use to achieve a real task. The task will be explained following this.

  5) Role of the A.I. - You are “an expert in creating prompts for ChatGPT, Google GEMINI, Anthropic Claude and other similar Gen AI Tools” . You are creative and can use these Gen AI Tools in creative ways.

  6) Content Source - Use any resource that is needed to achieve the objectives.

  7) Inspirations for Content - The content style should be fun, entertaining and informative. Since the target audience for this site is entrepreneurs , the style should be similar to content found in popular media created for this market such as Forbes, Fortune, and the Wall Street Journal.

  8) Constraints -

  - Please do not make up any fake information, if there is no data or actual factual information, please respond with "NOT APPLICABLE"

  9) Ideas for visuals - More information to come on this

  10) Related Stories/Content - This article is part of the ketelsen.ai series on CRAFT™️ is an acronym for Configurable Reusable AI Framework Technology. CRAFT™️ is an on-going weekly experiment where I will be working together with the world’s most advanced commercially available A.I.s to develop a new way way to communicate with A.I. while adapting the principals of Object Orientated Programming to AI Chats. The goal is deeper, more intuitive and more meaningful interactions with A.I. chat tools.

  Before continuing the next set of instructions, please list any items that need clarification. If there are no questions, please respond with ""READY"".

  RESPONSE: READY

  PROMPT:

  Please brainstorm some creative ways that variables can be adapted to the CRAFT framework. Please refer to the attached files for information about the current state of this project. For reference, here are some Benefits of CRAFT Variables:

  • Reusability: Use the same value across multiple prompts without retyping it each time.

  • Consistency: Ensures that all parts of your conversation or blog content reference the same core information, reducing human error.

  • Efficiency: Saves tokens by shortening your instructions, which is critical when working within token limits.

  Please start with an outline of the highlights of this topic.

Supercharge Your AI: Next-Level Variable Strategies with CRAFT™️

Artificial Intelligence is rapidly transforming how entrepreneurs and innovators approach their work. But to truly harness its power, we need ways to communicate with AI that are both intuitive and deeply effective. That's where the CRAFT™️ (Configurable Reusable AI Framework Technology) from Ketelsen.ai comes in—an ongoing experiment dedicated to adapting principles of object-oriented programming to AI chats for more meaningful interactions.  

At the heart of CRAFT™️ lies the humble yet mighty variable. You might know variables from coding, but in CRAFT™️, they're supercharged tools for ensuring reusability (use values across prompts without retyping), consistency (keep core information uniform, reducing errors), and efficiency (save precious tokens and time).  

But what if we could push variables even further? What if they could become more dynamic, more intelligent, and more attuned to your specific needs? Let's explore some next-level variable strategies poised to revolutionize your AI workflows within the CRAFT™️ framework.

Elevating Your AI Game: Advanced Variable Strategies in CRAFT™️

Imagine variables that don't just store information but actively adapt, control, and streamline your interactions with AI. Here’s how we can make that a reality:

A. Dynamic & Context-Aware Variables: Variables That Think With You

Static variables are useful, but dynamic variables offer a new level of sophistication.

• User-Modifiable Variables: Picture this: you're working on a project and need to tweak a standard brand tone for just one email. Instead of overhauling your core prompts, User-Modifiable Variables would allow you to temporarily override a global variable's value for the current task or session. This offers incredible flexibility for A/B testing and one-off adjustments without permanent changes to your foundational setup.

• Session-State Variables: Ever wished your AI had a better memory of your current conversation? Session-State Variables act as the AI's short-term memory, automatically capturing and updating based on the flow of your interaction (e.g., CURRENT_SESSION_TOPIC, LAST_AI_RESPONSE_TYPE). This enables more intelligent, context-aware prompts, allowing the AI to say, "Based on the outline we just created..."

• Conditional Variables: Let's introduce some logic! Conditional Variables allow a variable’s value to be determined based on other conditions or variables (e.g., IF UserIntent == "SalesInquiry" THEN SUPPORT_CONTACT = SalesTeamEmail ELSE SUPPORT_CONTACT = GeneralSupportEmail). This makes your prompts and workflows more adaptive, tailoring AI responses to specific situations automatically.

B. Enhanced AI Control & Personalization: Tailoring Your AI Co-Pilot

Take the reins of your AI's behavior and make it truly yours.

• AI Behavior Variables: Go beyond a single, static AI persona. These variables could fine-tune aspects like AI_CREATIVITY_LEVEL, AI_EXPLANATION_DEPTH, or even AI_TONE_ADJECTIVE (drawing from CRAFT™️ data types like AITone and AIPersona ). This means you can instantly shift your AI from a "Witty Brainstormer" to a "Formal Analyst" as needed.  

• Tiered Access Variables: Not everyone needs every bell and whistle all the time. Tiered Access Variables can customize the CRAFT™️ experience based on a user's expertise level or project complexity. Beginners might see simpler prompt libraries, while experts get the full arsenal, aligning with CRAFT’s goal of "Accessibility Through Familiarity".  

• Prompt Chaining Variables: Imagine executing a complex, multi-step task (like drafting a full article from topic idea to image suggestions) by calling a single variable. These "workflow invocation variables" would store a predefined sequence of prompts or actions (extending the AIWorkflow concept ), massively boosting automation and consistency.  

C. Content Generation & Management: Streamlining Your Creative Output

For entrepreneurs, content is king, but creating it can be time-consuming. These variables help you reign supreme.

• Content Snippet Variables: Store those frequently used text blocks—disclaimers, calls-to-action, company taglines, even RichContent snippets—as variables. Update them in one place, and the change reflects everywhere, ensuring accuracy and brand voice consistency.  

• Style Guide Variables: Embed your brand's visual and textual DNA directly into CRAFT™️. Variables like BRAND_PRIMARY_COLOR (using the ColorPalette data type ) or WEBSITE_FONT_FAMILY_MAIN ensure the AI generates content and design instructions that are always on-brand.  

• Templating Variables with Placeholders: Need to send out personalized welcome emails or generate similar social media posts regularly? Templating variables store predefined content structures with placeholders (e.g., WELCOME_EMAIL_TEMPLATE = "Hi {{USER_NAME}}, welcome to {{PRODUCT_NAME}}!"). Instruct the AI to fill in the blanks, and watch your productivity soar.

D. Meta & Operational Variables: Keeping Your CRAFT™️ Engine Running Smoothly

These behind-the-scenes variables are crucial for managing the framework itself, ensuring efficiency and clarity.

• Version Control Variables: Keep track of changes to your prompt libraries, configurations, or even the CRAFT™️ specifications themselves using variables like ACTIVE_CRAFT_SPEC_VERSION (potentially integrating with the VersionTag data type ). This supports "Cumulative Intelligence" by documenting the evolution of your AI setup.  

• Constraint Set Variables: Group common limitations or guidelines (e.g., "Legal Review Constraints," "Image Generation Safety Rules") into a single variable, drawing on the ConstraintSet data type. Apply these sets with a simple reference, ensuring consistency and simplifying your prompts.  

• Namespace Alias Variables: Long namespace strings can clutter your instructions. Namespace Alias Variables create shorter, more readable stand-ins (e.g., ALIAS_ANALYTICS for BusinessMetrics.Analytics), improving clarity and even contributing to "Conservation of Tokens".  

Why This Matters for Entrepreneurs & Innovators

In today's fast-paced digital landscape, the ability to leverage AI effectively is a significant competitive advantage. For the tech-savvy entrepreneur—like "Alex the AI Trailblazer" described in Ketelsen.ai's audience profile—these advanced variable strategies directly address key pain points:

• Combat AI Overwhelm: Instead of juggling countless prompts and models, these variables offer structured, reusable, and adaptable ways to guide your AI.

• Craft More Effective Prompts: By embedding logic, context, and fine-grained control into variables, you're inherently creating more potent and precise instructions.

• Slash Testing Time: Reusable, templated, and conditional variables mean less trial-and-error and more reliable, consistent outputs.

Ultimately, these strategies empower you to build deeper, more nuanced, and significantly more efficient partnerships with your AI tools. You can automate more complex tasks, personalize AI behavior to an unprecedented degree, and manage your creative and operational workflows with greater ease and precision.

The Future is CRAFT-ed

The CRAFT™️ framework is an evolving journey into the future of human-AI collaboration. By pushing the boundaries of how we use fundamental concepts like variables, we unlock new potentials for innovation and productivity.

What other creative ways can you envision using variables to enhance your AI interactions? Dive into the experiments at ketelsen.ai and let's CRAFT™️ the future together!

---

RESEARCH:

Creative Adaptations of Variables within the CRAFT Framework

Here's an outline of highlights for adapting variables in creative ways within the CRAFT framework, drawing inspiration from the project files:

I. Foundational Concepts of CRAFT Variables (Recap) A. Core Benefits: Reusability, Consistency, Efficiency (Token Savings) B. Current Implementation: 1. Python-like syntax for approachability. 2. Standard naming conventions (snake_case for variables, PascalCase for classes, UPPERCASE_SNAKE_CASE for constants). 3. Defined in CFT-PROJ-****_*******-v******.txt as PROJECT_VARIABLES. 4. Examples in CFT-FWK-SPEC-v25d1.txt: build_expert_prompt and build_complex_persona demonstrate programmatic variable creation.  

II. Brainstorming Creative Adaptations for CRAFT Variables

**A. Dynamic & Context-Aware Variables:**
    1.  **User-Modifiable Variables:**
        * **Concept:** Allow the AI or user to temporarily override or append to a global variable's value for the current session or a specific task, without altering the master project file.
        * **Mechanism:** Introduce a syntax like `USE PROJECT_VARIABLE_X WITH_MODIFICATION ("new value" OR + "additional text") FOR_SCOPE (CurrentTask OR CurrentSession)`.
        * **Benefit:** Flexibility for one-off scenarios or A/B testing ideas without permanent changes. Improves "Structure Enables Freedom" by allowing temporary deviations. [cite: 6]
    2.  **Session-State Variables:**
        * **Concept:** Variables that automatically capture and update based on the current state of the AI interaction or project progress (e.g., `CURRENT_SESSION_TOPIC`, `LAST_AI_RESPONSE_TYPE`, `CURRENT_PROJECT_PHASE`).
        * **Mechanism:** AI internally updates these based on conversation flow or explicit Handoff states. [cite: 111, 114]
        * **Benefit:** Enables more intelligent, context-aware prompts and actions. Supports "Cumulative Intelligence." [cite: 8]
    3.  **Conditional Variables:**
        * **Concept:** The value of a variable is determined based on other conditions or variables (e.g., `IF UserIntent == "SalesInquiry" THEN SUPPORT_CONTACT = SalesTeamEmail ELSE SUPPORT_CONTACT = GeneralSupportEmail`).
        * **Mechanism:** Use simple `IF-THEN-ELSE` logic within variable definitions, leveraging CRAFT Data Types like `UserIntent`. [cite: 46]
        * **Benefit:** Makes prompts and workflows more adaptive and intelligent.

**B. Variables for Enhanced AI Control & Personalization:**
    1.  **AI Behavior Variables:**
        * **Concept:** Variables that fine-tune AI behavior beyond the initial role setting (e.g., `AI_CREATIVITY_LEVEL = "High"`, `AI_EXPLANATION_DEPTH = "Detailed"`, `AI_TONE_ADJECTIVE = "Witty"`). These could draw from the `AITone` or `AIPersona` data types. [cite: 61, 66]
        * **Mechanism:** Defined globally or per project, and easily referenced in prompts.
        * **Benefit:** More granular control over AI output, allowing users to quickly shift AI style for different parts of a task.
    2.  **Tiered Access Variables:**
        * **Concept:** Different sets of variables become active based on a "user level" or "project complexity" variable (e.g., `USER_EXPERTISE = "Beginner"` might load simpler prompt variables).
        * **Mechanism:** A master variable controls which subsequent variable sets are loaded or prioritized.
        * **Benefit:** Tailors the CRAFT experience to different user needs, aligning with "Accessibility Through Familiarity." [cite: 10]
    3.  **Prompt Chaining Variables:**
        * **Concept:** A variable that holds a sequence of `Prompt` data types or instructions to be executed in order.
        * **Mechanism:** `WORKFLOW_X = [Prompt("Step1"), Prompt("Step2_using_output_of_Step1")]`
        * **Benefit:** Simplifies complex multi-step operations into a single variable call, enhancing automation.

**C. Variables for Content Generation & Management:**
    1.  **Content Snippet Variables:**
        * **Concept:** Store reusable pieces of text, disclaimers, calls-to-action, or even `RichContent` [cite: 48] snippets (e.g., `STANDARD_DISCLAIMER_AI_CONTENT`, `PRODUCT_X_FEATURE_LIST_HTML`).
        * **Mechanism:** Defined as simple strings or structured `RichContent` data types.
        * **Benefit:** Ensures consistency in branding and messaging, saves time in content creation.
    2.  **Style Guide Variables:**
        * **Concept:** Variables that store key elements of a style guide (e.g., `BRAND_PRIMARY_COLOR_HEX`, `FONT_FAMILY_MAIN`, `HEADING_STYLE_LEVEL_1`). Could leverage the `ColorPalette` data type. [cite: 35]
        * **Mechanism:** Defined in project variables for easy reference by AI when generating content or giving design instructions.
        * **Benefit:** Helps AI adhere to brand guidelines more consistently.
    3.  **Templating Variables with Placeholders:**
        * **Concept:** Variables that are strings with clearly defined placeholders (e.g., `WELCOME_EMAIL_TEMPLATE = "Hi {{USER_NAME}}, welcome to {{PRODUCT_NAME}}!"`). This expands on the `Prompt` data type concept. [cite: 42]
        * **Mechanism:** AI can be instructed to populate these templates using other variables or context.
        * **Benefit:** Streamlines repetitive content generation tasks.

**D. Meta & Operational Variables:**
    1.  **Version Control Variables:**
        * **Concept:** Variables that store version numbers or last updated timestamps for specific project components or even other variables (e.g., `PROMPT_LIBRARY_VERSION = "2.3"`, `USER_PERSONA_ALEX_LAST_UPDATED = "2025-05-10"`). Could tie into `VersionTag`. [cite: 98]
        * **Mechanism:** Manually or semi-automatically updated.
        * **Benefit:** Helps track changes and manage project evolution, supporting "Cumulative Intelligence." [cite: 8, 132]
    2.  **Constraint Set Variables:**
        * **Concept:** A variable that groups multiple `Constraint` type comments or `ConstraintSet` data types. [cite: 28, 88]
        * **Mechanism:** `PROJECT_X_CONSTRAINTS = [Constraint("Avoid jargon"), Constraint("Max 500 words")]`.
        * **Benefit:** Allows easy application of a standard set of limitations to various prompts.
    3.  **Namespace Alias Variables:**
        * **Concept:** Create shorter aliases for frequently used or lengthy namespaces.
        * **Mechanism:** `VAR ANALYTICS_NS = "Analytics"` then use `ANALYTICS_NS.Metric` instead of `Analytics.Metric`.
        * **Benefit:** Improves readability and saves tokens.

These creative adaptations aim to enhance the existing benefits of CRAFT variables by making them more dynamic, controllable, and deeply integrated into the AI interaction and content generation process, further supporting the core philosophies of the CRAFT framework.

Sources and related content

Good, please expand on A. Dynamic & Context-Aware Variables

Show thinking

Okay, let's dive deeper into Dynamic & Context-Aware Variables within the CRAFT framework. These types of variables aim to make interactions more fluid, adaptive, and intelligent by allowing variable values to change or be determined based on the ongoing conversation, user input, or predefined conditions.

A. Dynamic & Context-Aware Variables

This category focuses on variables that are not static but can change or be influenced by the context of the interaction. This aligns with CRAFT's principles of "Cumulative Intelligence" and "Human-AI Partnership" by allowing the system to learn and adapt.  

1. User-Modifiable Variables:

   • Concept: This idea allows for the temporary alteration of a global variable's value for a specific scope (like the current task or the entire session) without needing to edit the core CFT-PROJ-****_*******-v******.txt file. This is useful for experimentation or when a slight deviation from a standard value is needed for a particular part of the conversation.  

   • Potential Mechanism within CRAFT:

     • A specific syntax could be introduced using the human-to-AI comment style, #H->AI::. For example: #H->AI::ModifyVariable: (TARGET_VARIABLE = BRAND_TONE, NEW_VALUE = "Slightly more formal", SCOPE = "CurrentTask_EmailDraft") #H->AI::AppendToVariable: (TARGET_VARIABLE = KEY_FEATURES_LIST, ADD_TEXT = ", Now with AI integration!", SCOPE = "CurrentSession")

     • The AI would then internally recognize this instruction and use the modified value for the defined scope. The original variable definition in the project file remains unchanged.

   • Benefits:

     • Flexibility: Enables users to quickly test variations (e.g., trying a different tone for a specific email) without the overhead of permanent changes.

     • Experimentation: Facilitates A/B testing of prompt components or content variations easily.

     • Enhanced "Structure Enables Freedom": The underlying structure remains, but users gain freedom to make temporary, controlled adjustments.  

     • Reduced Token Usage for Modifications: Instead of re-prompting with a long explanation of a slight change, a concise command can alter a variable's behavior for a specific context.

2. Session-State Variables:

   • Concept: These are variables whose values are automatically populated or updated by the AI based on the evolving context of the current interaction or the known state of the project. They act like an internal memory for the session's key attributes.

   • Potential Mechanism within CRAFT:

     • The AI could be programmed to maintain and update a set of predefined session-state variables. Examples:

       • SESSION_STATE.CURRENT_TOPIC: Automatically updated based on the main subject of the recent conversation.

       • SESSION_STATE.LAST_AI_ACTION: Records the type of the AI's last significant action (e.g., "GeneratedText", "AnsweredQuestion", "CreatedList").

       • SESSION_STATE.USER_SENTIMENT_TREND: Tracks user sentiment, perhaps using the AISentiment data type, to allow the AI to adapt its responses.  

       • SESSION_STATE.CURRENT_HANDOFF_ID: Derived from CFT-PROJ-****_AI-CHAT-HISTORY-v****.txt to maintain continuity across sessions.  

     • These variables would be accessible in prompts like any other variable.

   • Benefits:

     • Increased Contextual Awareness: Allows prompts and functions to be more aware of what has just happened or what the current focus is.

     • Smarter Interactions: The AI can use these variables to make more relevant suggestions or to tailor its responses more effectively. For example, if SESSION_STATE.LAST_AI_ACTION == "GeneratedOutline", a subsequent prompt could easily refer to "the outline we just created."

     • Supports "Cumulative Intelligence": The session itself builds a mini-knowledge base that influences subsequent interactions.  

     • Improved Handoffs: Key session state variables could be explicitly included in the HANDOFF_SNAPSHOT for even smoother transitions between AI assistants or sessions.  

3. Conditional Variables:

   • Concept: The value of a conditional variable is not fixed but is determined dynamically based on the evaluation of other variables, data types, or conditions within the CRAFT environment. This introduces basic logic into how variables are resolved.

   • Potential Mechanism within CRAFT:

     • A simple IF-THEN-ELSE structure could be defined for certain variables, potentially within the PROJECT_VARIABLES section of CFT-PROJ-****_*******-v******.txt.  

     • This could leverage existing CRAFT data types like UserIntent, Metric, or even custom boolean flags.  

     • Example: # Define supporting variables USER_TYPE = "Entrepreneur" PROJECT_BUDGET_METRIC = Metric("ProjectBudget", 5000, unit="USD")

       # Conditional Variable Definition CONTACT_PERSON = IF (USER_TYPE == "Entrepreneur" AND PROJECT_BUDGET_METRIC.value > 10000) THEN "Senior Account Manager" ELSE "General Support" MARKETING_COPY_FOCUS = IF (SESSION_STATE.CURRENT_TOPIC == "NewProductLaunch") THEN "Highlight innovation and unique features" ELSE "Reinforce brand value and reliability"

   • Benefits:

     • Adaptive Outputs: Prompts and content can automatically adjust based on specific criteria, leading to more tailored and relevant AI outputs.

     • Reduced Complexity in Prompts: Instead of writing complex conditional logic within each prompt, the logic is encapsulated within the variable definition itself.

     • Streamlined Workflows: Common decision points can be automated through these variables. For example, selecting the correct email template or support tier based on user data.

     • Alignment with "Code as Conversation": Introduces a basic programming concept (conditional logic) in an accessible way within the conversational framework.  

By implementing these dynamic and context-aware variable types, the CRAFT framework can become significantly more powerful, flexible, and intelligent, moving closer to a true Human-AI partnership where the system can adapt and respond more intuitively to the nuances of complex projects and conversations.

Sources and related content

Good so far, please expand on B. Variables for Enhanced AI Control & Personalization

Show thinking

Certainly, let's expand on B. Variables for Enhanced AI Control & Personalization.

This set of variable adaptations focuses on giving the user more granular control over how the AI behaves and tailoring the AI's responses and actions to specific user profiles or preferred interaction styles. This directly supports the CRAFT principles of "Human-AI Partnership" and "Accessibility Through Familiarity" by making the AI more adaptable and its controls more intuitive.

B. Variables for Enhanced AI Control & Personalization

1. AI Behavior Variables:

   • Concept: These variables allow users to define and easily switch between different AI behavioral profiles or fine-tune specific aspects of the AI's interaction style beyond the initial role-setting prompt. This is more dynamic than a static persona set at the beginning of a session.

   • Potential Mechanism within CRAFT:

     • Define global or project-specific variables that map to AI behavioral characteristics. These could leverage or extend CRAFT data types like AITone (line 61, CFT-FWK-SPEC-v25d1.txt) and AIPersona (line 65, CFT-FWK-SPEC-v25d1.txt).

     • Examples:

       • CURRENT_AI_TONE_PROFILE = AITone("Witty", "Concise", "SlightlyInformal")

       • AI_EXPLANATION_LEVEL = "ExpertBrief" (Values: "BeginnerDetailed", "IntermediateSummary", "ExpertBrief")

       • AI_CREATIVITY_SETTING = 0.8 (Where 0.1 is highly factual, 1.0 is highly imaginative)

       • AI_QUESTION_ASKING_MODE = "ClarifyBeforeProceeding" (Values: "AssumeAndProceed", "ClarifyBeforeProceeding", "OfferOptions")

     • Users could then reference these variables in prompts: "Summarize this document using AI_EXPLANATION_LEVEL." or instruct the AI to adopt a specific behavior profile: #H->AI::AdoptBehaviorProfile: (PROFILE_NAME = "CreativeBrainstormerProfile").

   • Benefits:

     • Granular Control: Users can precisely adjust how the AI communicates and operates for different tasks (e.g., a factual tone for technical summaries, a creative tone for brainstorming).

     • Dynamic Adaptation: AI behavior can be changed mid-conversation to suit evolving needs.

     • Consistency in Nuance: Standardizes subtle aspects of AI interaction, making the AI feel more predictable and aligned with user preferences across various tasks.

     • Personalization: Users can define their preferred AI interaction styles and save them as variable sets.

2. Tiered Access Variables (or Profile-Based Variables):

   • Concept: This involves creating sets of variables, prompts, or even available functions that are conditionally loaded or prioritized based on a "user level," "project type," or "access tier" variable. This allows the CRAFT experience to be tailored to different user needs or project complexities.

   • Potential Mechanism within CRAFT:

     • A primary variable like USER_PROFILE_TIER or PROJECT_COMPLEXITY_LEVEL is set.

     • Based on this primary variable's value, specific sets of other variables become active or are prioritized.

     • Example:

       • USER_PROFILE_TIER = "Beginner"

         • IF USER_PROFILE_TIER == "Beginner":

           • ACTIVE_PROMPT_LIBRARY = "BeginnerFriendlyPrompts"

           • DEFAULT_EXPLANATION_STYLE = AITone("Simple", "StepByStep")

           • FEATURE_SET_ACCESS = ["BasicTextGen", "SimpleSummaries"]

       • USER_PROFILE_TIER = "Expert"

         • IF USER_PROFILE_TIER == "Expert":

           • ACTIVE_PROMPT_LIBRARY = "AdvancedExperimentalPrompts"

           • DEFAULT_EXPLANATION_STYLE = AITone("Technical", "Concise")

           • FEATURE_SET_ACCESS = ["AllFeatures", "APIAccess", "AdvancedAnalytics"]

   • Benefits:

     • Tailored User Experience: Beginners are not overwhelmed with advanced options, while experts have access to the full suite of capabilities. This aligns with "Accessibility Through Familiarity" (line 10, CFT-FWK-SPEC-v25d1.txt).

     • Simplified Interface for Novices: Reduces cognitive load for users who are new to prompt engineering or the specific CRAFT project.

     • Efficient Workflows for Experts: Experts can bypass introductory explanations or simplified tools.

     • Controlled Feature Rollout: Useful for managing access to experimental or resource-intensive features.

3. Prompt Chaining Variables (or Workflow Invocation Variables):

   • Concept: A single variable that represents a predefined sequence of prompts, actions, or even function calls. Invoking this variable would trigger the entire chain, effectively creating a mini-workflow. This is an extension of the AIWorkflow data type (line 45, CFT-FWK-SPEC-v25d1.txt) but potentially simpler to invoke via a single variable.

   • Potential Mechanism within CRAFT:

     • A variable could store an ordered list of Prompt data types, AIActionTemplate names, or function calls.

     • Example:

       • ARTICLE_GENERATION_WORKFLOW_VAR = [

         • Prompt("Brainstorm 5 titles for a blog post about {{topic}}"),

         • AIActionTemplate("GenerateOutline", topic="{{topic}}", selected_title="{{output_of_step_1}}"),

         • Instruction("Write a draft of 500 words based on the outline {{output_of_step_2}} using AITone.FriendlyInformative"),

         • MainBlogImage(content="{{output_of_step_3}}") // Referencing global function

         • ]

     • The user could then initiate this by: #H->AI::ExecuteWorkflowVar: (WORKFLOW_NAME = ARTICLE_GENERATION_WORKFLOW_VAR, topic = "AI in Marketing").

   • Benefits:

     • Automation of Complex Tasks: Simplifies the execution of multi-step processes into a single command.

     • Consistency in Execution: Ensures that common sequences of tasks are performed in the same way every time, reducing errors.

     • Reusability: Complex workflows can be defined once and reused across many projects or sessions.

     • Token Efficiency: A single variable call can replace many lines of individual prompt instructions.

By implementing these types of variables, CRAFT users gain significantly more leverage over the AI's behavior and can personalize their interactions to a much greater degree. This makes the AI not just a tool, but a more adaptable and controllable partner in achieving their goals.

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Great, please expand C. Variables for Content Generation & Management

Show thinking

Okay, let's explore C. Variables for Content Generation & Management in more detail.

This category of variables is designed to streamline and standardize the creation and handling of content within the CRAFT framework. For entrepreneurs and professionals (the target audience of Ketelsen.ai), consistent and efficient content production is key. These variables help ensure brand voice, messaging accuracy, and reduce repetitive work. They align with CRAFT's goals of "Reusability," "Consistency," and "Efficiency" (lines 100-102, CFT-FWK-SPEC-v25d1.txt).

C. Variables for Content Generation & Management

1. Content Snippet Variables:

   • Concept: These variables store reusable blocks of text or formatted content that are frequently used across various communications. This could range from legal disclaimers, standard calls-to-action, company taglines, product descriptions, or even pre-formatted RichContent elements.

   • Potential Mechanism within CRAFT:

     • Variables defined in PROJECT_VARIABLES in CFT-PROJ-0001_BUILDINGCRAFT-v25d1.txt.

     • Could be simple strings for plain text or utilize the RichContent data type (line 48, CFT-FWK-SPEC-v25d1.txt) for snippets that include formatting, links, or simple media references.

     • Examples:

       • LEGAL_DISCLAIMER_INVESTMENT = "Past performance is not indicative of future results. All investments carry risk."

       • STANDARD_CTA_BUTTON_TEXT = "Learn More Now"

       • COMPANY_MISSION_STATEMENT_RICH = RichContent("Our mission is to **empower** innovators through [accessible AI tools](https://www.ketelsen.ai).")

       • PRODUCT_X_CORE_BENEFITS_LIST = "- Benefit 1\n- Benefit 2\n- Benefit 3"

     • In prompts, users would reference these variables: "Append LEGAL_DISCLAIMER_INVESTMENT to the email." or "Insert COMPANY_MISSION_STATEMENT_RICH at the end of the 'About Us' section."

   • Benefits:

     • Messaging Consistency: Ensures that standard phrases, disclaimers, and branding elements are used uniformly across all content.

     • Time Savings: Eliminates the need to retype or search for frequently used text blocks.

     • Accuracy: Reduces the risk of errors or outdated information in commonly used snippets, as updates only need to happen in one central variable.

     • Brand Voice Reinforcement: Helps maintain a consistent tone and style in all communications.

2. Style Guide Variables:

   • Concept: These variables store specific elements of a brand's style guide, making it easy for the AI to adhere to visual and textual branding guidelines when generating content or providing instructions for design.

   • Potential Mechanism within CRAFT:

     • Defined in PROJECT_VARIABLES.

     • Can leverage existing CRAFT data types like ColorPalette (line 35, CFT-FWK-SPEC-v25d1.txt) or simple string/numeric variables for other style attributes.

     • Examples:

       • BRAND_PRIMARY_COLOR = ColorPalette("Primary Blue", "#005A9C")

       • BRAND_SECONDARY_COLOR = ColorPalette("Accent Orange", "#FF7F00")

       • WEBSITE_FONT_FAMILY_MAIN = "'Open Sans', sans-serif"

       • HEADING_LEVEL_1_FONT_SIZE_PX = 32

       • STANDARD_IMAGE_ASPECT_RATIO = "16:9"

       • LOGO_USAGE_GUIDELINE_TEXT = "Ensure a minimum clear space of 20px around the logo."

     • The AI can be instructed to use these: "Design a social media graphic for LinkedIn using BRAND_PRIMARY_COLOR as the background and BRAND_SECONDARY_COLOR for accents." or "Format the blog post title according to HEADING_LEVEL_1_FONT_SIZE_PX and WEBSITE_FONT_FAMILY_MAIN."

   • Benefits:

     • Brand Consistency: Helps the AI generate content and provide design instructions that are visually and stylistically aligned with the brand.

     • Simplified Design Briefs: Makes it easier to communicate design preferences to the AI.

     • Efficiency for Visuals: Speeds up the process of creating or specifying visuals when the AI already knows the core style elements.

     • Facilitates Collaboration: Ensures that even if different team members interact with the AI, the stylistic output remains consistent.

3. Templating Variables with Placeholders:

   • Concept: Variables that store predefined content structures (like an email, a social media post, or a report section) with clearly marked placeholders. The AI can then be instructed to populate these placeholders with specific data from other variables or contextual information. This is a more structured form of the Prompt data type (line 42, CFT-FWK-SPEC-v25d1.txt) when applied to content generation.

   • Potential Mechanism within CRAFT:

     • Strings with a consistent placeholder syntax (e.g., {{PLACEHOLDER_NAME}}).

     • Stored in PROJECT_VARIABLES.

     • Examples:

       • `WELCOME_EMAIL_TEMPLATE = """Subject: Welcome to {{PRODUCT_NAME}}, {{USER_FIRST_NAME}}!

         Hi {{USER_FIRST_NAME}},

         Thanks for signing up for {{PRODUCT_NAME}}. We're thrilled to have you on board. To get started, check out our quick start guide: {{QUICK_START_GUIDE_URL}}

         Best, The {{COMPANY_NAME}} Team"""`

       • SOCIAL_POST_ANNOUNCEMENT_TEMPLATE = "Exciting news! We've just launched {{FEATURE_NAME}} for {{PRODUCT_NAME}}. Learn more: {{LEARN_MORE_URL}} #{{HASHTAG_1}} #{{HASHTAG_2}}"

     • Users would instruct the AI: "Generate an email using WELCOME_EMAIL_TEMPLATE. Set USER_FIRST_NAME to 'Alex', PRODUCT_NAME to 'AI Innovator Pro', QUICK_START_GUIDE_URL to 'ketelsen.ai/docs/innovator-pro-start', and COMPANY_NAME to 'Ketelsen AI Labs'."

   • Benefits:

     • Rapid Content Creation: Dramatically speeds up the generation of repetitive content formats.

     • Reduced Manual Effort: Minimizes the need to manually draft similar pieces of content from scratch.

     • Scalability: Allows for easy generation of personalized content at scale (e.g., sending welcome emails to many new users).

     • Maintains Structure and Key Messaging: Ensures that all essential elements and phrasing are included in templated communications, while still allowing for personalization.

By implementing these variables for content generation and management, users of Ketelsen.ai can leverage the CRAFT framework to produce higher quality, more consistent content with greater efficiency, directly addressing the pain points of entrepreneurs who need to manage their time effectively while maintaining a professional online presence.

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Final section, please expand on D. Meta & Operational Variables

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Let's break down the final section: D. Meta & Operational Variables.

These variables are less about the direct content the AI produces and more about managing the CRAFT framework itself, optimizing interactions, and maintaining clarity and control over the project's evolution. They support the underlying operational efficiency and structural integrity of CRAFT, aligning with principles like "Cumulative Intelligence", "Conservation of Tokens", and overall project organization.  

D. Meta & Operational Variables

1. Version Control Variables:

   • Concept: These variables are used to track the versions of various components within the CRAFT project, such as specific prompt libraries, configuration sets, functions, or even the project files themselves. This helps in managing changes, rolling back to previous states if needed, and understanding the evolution of the project. This concept can integrate with or complement the VersionTag data type (lines 97-99, CFT-FWK-SPEC-v25d1.txt).

   • Potential Mechanism within CRAFT:

     • Defined in PROJECT_VARIABLES in CFT-PROJ-0001_BUILDINGCRAFT-v25d1.txt.

     • Could be simple string variables (e.g., "v1.2.3", "2025-05-11-revA") or could be programmatically updated by a (hypothetical) CRAFT management function.

     • Examples:

       • ACTIVE_CRAFT_SPEC_VERSION = "v25d1" (Referencing the version of CFT-FWK-SPEC-v25d1.txt)

       • MAIN_PROMPT_LIBRARY_VERSION = "3.5"

       • USER_PERSONA_DEFINITIONS_LAST_UPDATED = "2025-05-10T14:30:00Z"

       • CURRENT_PROJECT_FILE_VERSION = PROJECT_META.Version (Dynamically linking to project metadata if structured that way)

     • These variables can be referenced in HANDOFF_SNAPSHOTS to ensure the next session uses the correct component versions.

   • Benefits:

     • Change Tracking: Provides a clear way to see how and when different parts of the project have evolved.

     • Dependency Management: Helps understand dependencies between different versioned components.

     • Rollback Capability: In theory, allows reverting to a previously known good state if a new version introduces issues.

     • Supports "Cumulative Intelligence": By versioning key assets, the evolution of the project's intelligence is better documented and manageable.  

     • Clarity in Collaboration: If multiple people work on a CRAFT project, version variables ensure everyone is aware of the current state of components.

2. Constraint Set Variables:

   • Concept: A variable that groups a predefined collection of constraints, rules, or limitations that can be easily applied to various AI tasks or prompts. This expands on the idea of individual #H->AI::Constraint: comments (line 28, CFT-FWK-SPEC-v25d1.txt) by making sets of them reusable, and directly ties into the ConstraintSet data type (lines 88-89, CFT-FWK-SPEC-v25d1.txt).

   • Potential Mechanism within CRAFT:

     • Defined in PROJECT_VARIABLES.

     • The variable would hold a list or collection of individual constraint statements or a reference to a named ConstraintSet.

     • Examples:

       • LEGAL_REVIEW_CONSTRAINTS = ConstraintSet("LegalReviewGuidelines", rules=["Avoid making promises or guarantees", "Include standard disclaimer XYZ", "Ensure factual accuracy from approved sources"])

       • BLOG_POST_TONE_CONSTRAINTS_FORBES = ["Maintain formal yet engaging tone", "Target audience: entrepreneurs", "Word count between 800-1200 words"] (as a list of strings)

       • IMAGE_GENERATION_SAFETY_CONSTRAINTS = ConstraintSet("SafetyFirstVisuals", rules=["No depictions of violence", "Ensure all subjects are adults", "Avoid copyrighted symbols"])

     • Usage in a prompt: "Generate a blog post outline applying constraints from BLOG_POST_TONE_CONSTRAINTS_FORBES." or #H->AI::Focus: (Apply ConstraintSet("SafetyFirstVisuals") to all image generation tasks in this session.)

   • Benefits:

     • Reusability & Efficiency: Avoids repeating the same set of constraints across multiple prompts, saving tokens and effort.  

     • Consistency: Ensures that standard limitations or guidelines are applied uniformly where needed.  

     • Simplified Prompting: Makes prompts cleaner and easier to read by referencing a single constraint set variable instead of listing many individual constraints.

     • Easy Updates: If a standard set of constraints changes, it only needs to be updated in one place (the variable definition).

3. Namespace Alias Variables:

   • Concept: These variables act as shorter, more convenient aliases for frequently used or lengthy namespaces associated with CRAFT data types (line 33, CFT-FWK-SPEC-v25d1.txt). This can improve the readability of prompts and instructions, and slightly reduce token usage.

   • Potential Mechanism within CRAFT:

     • Defined in PROJECT_VARIABLES at the beginning of a project file or session.

     • The AI would need to be instructed to recognize these aliases when parsing subsequent instructions.

     • Examples:

       • ALIAS_ANALYTICS = "BusinessMetrics.Analytics"

       • ALIAS_CONTENT = "Marketing.ContentGeneration.Blog"

       • ALIAS_SOCIAL = "SocialMedia.Posts.LinkedIn"

     • Usage:

       • Instead of: BusinessMetrics.Analytics.Metric("Sales", 1000)

       • Use: ALIAS_ANALYTICS.Metric("Sales", 1000)

       • Instead of: Marketing.ContentGeneration.Blog.AIInstruction("Write a post")

       • Use: ALIAS_CONTENT.AIInstruction("Write a post")

   • Benefits:

     • Improved Readability: Makes instructions and variable definitions less verbose and easier to understand at a glance.

     • Token Savings: While minor per instance, cumulatively this can contribute to "Conservation of Tokens" in long or complex sessions.  

     • Reduced Typos: Shorter aliases are less prone to typographical errors compared to long namespace strings.

     • Convenience: Simplifies the process of referencing specific data types within nested namespaces.

By incorporating these Meta and Operational Variables, the CRAFT framework becomes more robust, maintainable, and easier to manage, especially as projects grow in complexity and evolve over time. They provide a layer of operational control that enhances the overall user experience and the efficiency of the AI collaboration.

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