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

The CRAFT™️ Experiment
Written By Richard Ketelsen

THE CRAFT™️ EXPERIMENT :: WEEK 5 :: POST 3

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Gemini 2.5 Pro(Exp): Rethinking A.I. Functions (3 of 5)

  • Please brainstorm some creative ways that functions 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 regular functions:

    In programming, a function is a reusable block of code that performs a specific task. It's like a mini-program within a larger program, designed to be called (or invoked) when needed. Functions help organize code, making it easier to read, understand, and maintain. They also promote code reusability, as you can use the same function multiple times with different inputs

    Key Concepts:

    • Input: Functions can accept data (called arguments or parameters) as input, allowing them to perform different tasks based on the data they receive.

    • Output: Functions can return a value (the output) as a result of their execution.

    • Reusability: A function can be called multiple times from different parts of a program, saving you from rewriting the same code repeatedly.

    • Organization: Functions help break down complex programs into smaller, manageable units.

    Abstraction: Functions hide the implementation details of a task, allowing you to focus on what the task does rather than how it does it.

    How can these known concepts be adapted to CRAFT which is built on six key philosophical principles:

    1. STRUCTURE ENABLES FREEDOM: By providing a clear framework for AI interaction,

       CRAFT paradoxically creates more creative freedom by eliminating cognitive

       overhead and repetition.

    2. CODE AS CONVERSATION: Programming concepts like variables, functions, and

       objects can dramatically improve the clarity and efficiency of natural

       language exchanges with AI.

    3. CUMULATIVE INTELLIGENCE: AI interactions should build upon each other,

       creating an evolving knowledge base rather than isolated conversations.

    4. HUMAN-AI PARTNERSHIP: The framework facilitates true collaboration where

       both human creativity and AI capabilities are leveraged optimally.

    5. ACCESSIBILITY THROUGH FAMILIARITY: Using Python-like syntax creates an

       approachable system for both technical and non-technical users.

    6. CONSERVATION OF TOKENS: Limiting tokens in an A.I. chat saves money and time.

       It also cuts down on the amount of vertical scrolling needed in a chat.

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

Beyond Basic Prompts: How CRAFT Functions Will Revolutionize Your AI Workflow

Welcome back to the Ketelsen.ai blog, where we're deep in the trenches of an ongoing experiment: building CRAFT™️ (Configurable Reusable AI Framework Technology). Our mission? To transform how we talk to AI, making our interactions deeper, more intuitive, and powerfully effective by adapting principles from object-oriented programming.

If you're an entrepreneur or an AI enthusiast, you know the drill. You're excited by AI's potential but perhaps frustrated by repetitive instructions, context loss between sessions, or the sheer effort to get consistent, high-quality results. CRAFT™️ is designed to tackle these very pain points, and today, we're zeroing in on one of its most potent components: Functions.

You’ve likely encountered functions in programming: those neat, reusable blocks of code that perform specific tasks. They bring order, efficiency, and a touch of magic to software development. But what happens when we bring that concept into the fluid world of AI conversations? With CRAFT™️, the answer is: a lot.

CRAFT™️ reimagines functions not just as lines of code, but as supercharged conversational tools. They align perfectly with CRAFT’s six core philosophical principles, such as "Structure Enables Freedom" (providing clear pathways for interaction) and "Code as Conversation" (making exchanges with AI more precise and efficient).

Let's explore some creative ways CRAFT™️ adapts functions to give you, the innovator, a serious edge:

Smarter Inputs: Functions That Understand Your World

Traditional functions take inputs, or parameters. CRAFT™️ functions take this to a new level:

  • Speak Their Language with CRAFT Data Types: Imagine telling your AI to generate_marketing_copy and giving it not just a topic, but structured inputs like a TargetAudience object (e.g., "marketing professionals, knowledge_level='intermediate'") or a specific AITone ("friendly, professional, concise"). This means less ambiguity and more targeted results, making the AI feel like a true partner that gets your project's specifics. This directly supports "Accessibility Through Familiarity" by using clear, defined terms.

  • Building Blocks for Brilliance (Higher-Order Functions): Think about functions that can accept other functions or entire CRAFT objects as inputs. You could have a master function apply_brand_voice(text_input, brand_style_function) that uses another specific function to ensure every piece of content is perfectly on-brand. This modularity is key to "Structure Enables Freedom".

  • Context is King (Context-Aware Defaults): What if functions could intelligently grab default values from your ongoing PROJECT_VARIABLES or ConversationHistory? A summarize_text(text) function might automatically know your preferred summary length, saving you tokens and time – a nod to "Conservation of Tokens" and "Cumulative Intelligence".

Dynamic Outputs: Getting More Than Just Text Back

CRAFT™️ functions don’t just talk; they do. Their "outputs" can be incredibly dynamic:

  • Structured Results, Ready to Use: Instead of a simple text response, a function like analyze_competitor_website(url=URL("somecompetitor.com")) could return a rich ComparisonMatrix object, pre-filled and ready for your strategic review. This makes the AI's output immediately actionable.

  • Evolving Your Project, Automatically: Some functions might work behind the scenes to update your project's KnowledgeGraphNode or modify key PROJECT_VARIABLES. This helps build that "Cumulative Intelligence" session after session.

  • Kickstarting Complex AI Actions: Imagine a single CRAFT function call, like launch_product_feedback_sequence(product_name, customer_list_object), initiating an entire AIWorkflow – from drafting emails to analyzing responses. This level of abstraction is a huge time-saver.

  • Seamless Session Handoffs: As we discussed in the project files, CRAFT™️ uses a "Handoff" system. A specialized function could even help draft the SESSION_SUMMARY for these handoffs, ensuring smoother continuity.

Next-Level Reusability & Organization: Your AI Efficiency Toolkit

The core beauty of functions is reusability, and CRAFT™️ supercharges this:

  • Your Personal Prompt Library Snippets: Functions can act as "prompt snippets" or pre-defined instruction blocks. Your build_expert_prompt function is a perfect example of this. Need a standard legal disclaimer or SEO optimization instructions? Call a function. This is "Conservation of Tokens" in its prime.

  • Building Big Ideas from Small Pieces (Nested Functions): Decompose massive tasks into smaller, manageable functions. A create_full_blog_post(topic) function could internally call sub-functions for keyword research, outline generation, drafting, and SEO, making complex projects feel less daunting.

  • Domain-Specific Function Hubs: As your CRAFT™️ project grows, you can organize functions into thematic libraries – Marketing_Magic_Functions, Financial_Analysis_Functions, and so on – building a powerful, tailored toolkit.

Enhanced Clarity & Abstraction: Simplifying the Complex

CRAFT™️ functions are designed to make sophisticated AI interactions feel simpler:

  • One Call, Many Steps (Encapsulating Interactions): A single function could represent an entire multi-step dialogue with the AI. Think negotiate_contract_terms(parameters) where the function handles the back-and-forth, guided by your initial parameters.

  • Talk Naturally (Natural Language Aliases): While CRAFT™️ uses a Python-like syntax for precision, you could have the AI trained to understand more natural invocations, like "AI, summarize this for a CEO" mapping to a specific create_tldr_summary(text, audience_profile="CEO") function.

  • Evolve Without Breaking (Function Versioning): Just like software, your CRAFT™️ functions can have versions (e.g., generate_image_prompt_v2(description)). This lets you innovate and refine your prompts without disrupting workflows that rely on older versions, crucial for "Cumulative Intelligence".

Building a True Human-AI Partnership

Ultimately, CRAFT™️ functions are about fostering a more powerful "Human-AI Partnership":

  • AI as Your Co-Pilot (AI-Suggested Functions): The AI itself can become an active partner by suggesting relevant functions from your CRAFT library during your conversation (extending concepts like "#AI->H::RecommendMakingThisAFunction:" ).

  • Functions That Learn (An Advanced Glimpse): Imagine functions whose internal logic or default behaviors subtly adapt over time based on your feedback and their success rates, becoming even more attuned to your needs.

  • Keeping CRAFT™️ Sharp (Metacognitive Functions): You can even develop functions to manage and analyze your CRAFT™️ project itself, like validate_my_craft_syntax(code_block) or find_related_project_assets(keyword).

The Future is Functional (and Conversational!)

By adapting the familiar concept of functions, CRAFT™️ aims to provide the structure that enables true creative freedom and efficiency in your AI interactions. It’s about moving beyond simple question-and-answer and into a realm where you and your AI are co-creating complex solutions with greater ease and precision.

This is just a glimpse into how functions operate within the CRAFT™️ framework. As we continue to build and experiment here at Ketelsen.ai, we’ll be sharing more insights, examples, and, of course, more prompts!

Stay tuned, keep experimenting, and let us know your thoughts!

RESEARCH:

Please brainstorm some creative ways that functions 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 regular functions:


In programming, a function is a reusable block of code that performs a specific task. It's like a mini-program within a larger program, designed to be called (or invoked) when needed. Functions help organize code, making it easier to read, understand, and maintain. They also promote code reusability, as you can use the same function multiple times with different inputs

Key Concepts:

• Input: Functions can accept data (called arguments or parameters) as input, allowing them to perform different tasks based on the data they receive. 

• Output: Functions can return a value (the output) as a result of their execution. 

• Reusability: A function can be called multiple times from different parts of a program, saving you from rewriting the same code repeatedly. 

• Organization: Functions help break down complex programs into smaller, manageable units. 

Abstraction: Functions hide the implementation details of a task, allowing you to focus on what the task does rather than how it does it. 


How can these known concepts be adapted to CRAFT which is built on six key philosophical principles:


1. STRUCTURE ENABLES FREEDOM: By providing a clear framework for AI interaction,

   CRAFT paradoxically creates more creative freedom by eliminating cognitive

   overhead and repetition.


2. CODE AS CONVERSATION: Programming concepts like variables, functions, and

   objects can dramatically improve the clarity and efficiency of natural

   language exchanges with AI.


3. CUMULATIVE INTELLIGENCE: AI interactions should build upon each other,

   creating an evolving knowledge base rather than isolated conversations.


4. HUMAN-AI PARTNERSHIP: The framework facilitates true collaboration where

   both human creativity and AI capabilities are leveraged optimally.


5. ACCESSIBILITY THROUGH FAMILIARITY: Using Python-like syntax creates an

   approachable system for both technical and non-technical users.


6. CONSERVATION OF TOKENS: Limiting tokens in an A.I. chat saves money and time. 

   It also cuts down on the amount of vertical scrolling needed in a chat.


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

Show thinking

Okay, I've reviewed the CRAFT framework principles and the existing documentation on functions within your project files (Sources 133, 135-138). Let's brainstorm some creative ways to adapt and expand the concept of functions within CRAFT, keeping those core principles and traditional function benefits in mind.

Here’s an outline of the highlights for adapting functions to the CRAFT framework:

Outline: Adapting Functions for the CRAFT Framework

  1. Enhanced Input/Parameterization:

    • Using CRAFT Data Types as Parameters.

    • Functions Accepting Other Functions or Objects as Input.

    • Context-Aware Default Parameters.

  2. Sophisticated Output and Return "Values":

    • Returning Structured CRAFT Objects or Data Types.

    • Functions that Modify Project State or Variables.

    • Functions Triggering AI Actions or Workflows.

    • Functions Generating "Handoff"-Compatible Summaries.

  3. Deepening Reusability and Organization:

    • Functions as "Prompt Snippets" or "Instruction Blocks."

    • Nested Functions for Complex Task Decomposition.

    • Libraries of Domain-Specific CRAFT Functions.

  4. Elevating Abstraction and Clarity:

    • Functions Encapsulating Multi-Step AI Interactions.

    • "Natural Language" Aliases for Functions.

    • Functions with Built-in Versioning.

  5. Strengthening Human-AI Partnership & Cumulative Intelligence:

    • AI-Suggested Function Use.

    • Functions that Learn or Adapt Over Time.

    • Functions for Metacognitive Tasks (e.g., review_consistency()).

Now, let's dive into the details of how these concepts can be adapted to CRAFT:

Creative Ways to Adapt Functions for the CRAFT Framework

Here are some brainstormed ideas, connecting them to traditional function benefits and the six CRAFT philosophical principles:

1. Enhanced Input/Parameterization

  • Using CRAFT Data Types as Parameters:

    • Concept: Instead of just simple strings or numbers, functions can accept defined CRAFT Data Types as inputs (Source 63-129). For instance, a function to generate marketing copy might take TargetAudience (Source 92), AITone (Source 91), and Product_Object (a hypothetical CRAFT object) as parameters.

    • Benefits:

      • Input: Strongly typed inputs improve clarity and reduce errors.

      • Reusability: Functions become more versatile by operating on standardized data structures.

    • CRAFT Principles:

      • Code as Conversation (Source 12, 37): generate_ad_copy(audience=TargetAudience("entrepreneurs"), tone=AITone("persuasive")) is very clear.

      • Structure Enables Freedom (Source 11, 36): Predefined input types guide usage while allowing varied content.

      • Accessibility Through Familiarity (Source 15, 40): Mimics typed parameters in programming.

  • Functions Accepting Other Functions or Objects as Input (Higher-Order Functions):

    • Concept: A CRAFT function could take another function's name or an entire CRAFT Object as an argument. For example, apply_style_guide(text_input, style_function=get_brand_voice_function).

    • Benefits:

      • Abstraction & Reusability: Allows for flexible and composable behaviors.

    • CRAFT Principles:

      • Structure Enables Freedom (Source 11, 36): Enables powerful, modular prompt construction.

      • Code as Conversation (Source 12, 37): Complex operations can be expressed more elegantly.

  • Context-Aware Default Parameters:

    • Concept: Functions could have default parameter values that are dynamically set based on the current PROJECT_VARIABLES (Source 19 in CFT-PROJ-0001_BUILDINGCRAFT-v25d4.txt), ConversationHistory (Source 20-30), or even aspects of the UserProfile (Source 81). For example, def summarize_text(text, length="auto") where "auto" could default to a preferred summary length defined in UserProfile.

    • Benefits:

      • Input: Simplifies function calls for common cases.

      • Organization: Reduces repetitive parameter specification.

    • CRAFT Principles:

      • Cumulative Intelligence (Source 13, 38): Functions adapt based on past interactions or established project settings.

      • Conservation of Tokens (Source 17, 42, 132): Shorter function calls.

2. Sophisticated Output and Return "Values"

  • Returning Structured CRAFT Objects or Data Types:

    • Concept: Instead of just text, a function can "return" a fully formed CRAFT Object or a specific Data Type. For example, analyze_competitor(url=URL("competitor.com")) could return a ComparisonMatrix object (Source 122-123) populated with data.

    • Benefits:

      • Output: Provides structured, machine-readable, and immediately usable results within the CRAFT ecosystem.

      • Organization: Keeps related information bundled.

    • CRAFT Principles:

      • Code as Conversation (Source 12, 37): Enables chaining of operations where the output of one function (an object) is the input to another.

      • Structure Enables Freedom (Source 11, 36): Standardized outputs allow for predictable downstream processing.

  • Functions that Modify Project State or Variables:

    • Concept: Some functions might not return a direct value but instead modify PROJECT_VARIABLES or update a KnowledgeGraphNode (Source 114-115). For example, update_project_status(status_update="milestone_achieved").

    • Benefits:

      • Output (Side Effects): Allows functions to manage and evolve the project's context directly.

    • CRAFT Principles:

      • Cumulative Intelligence (Source 13, 38): Functions actively contribute to the evolving knowledge base of the project.

      • Human-AI Partnership (Source 14, 39): The AI can be instructed to maintain project state through functions.

  • Functions Triggering AI Actions or Workflows:

    • Concept: A CRAFT function could encapsulate a call to an external AI service (via an APIRequest (Source 102) type, for example) or initiate a predefined AIWorkflow (Source 75, 110-111). E.g., execute_onboarding_workflow(customer_email=Email("new@example.com")).

    • Benefits:

      • Abstraction & Automation: Complex sequences of AI actions are triggered by a simple function call.

    • CRAFT Principles:

      • Structure Enables Freedom (Source 11, 36): Streamlines the execution of complex processes.

      • Conservation of Tokens (Source 17, 42, 132): A single function call replaces many lines of instruction.

  • Functions Generating "Handoff"-Compatible Summaries:

    • Concept: A special function like generate_session_summary_for_handoff() could be designed to analyze the recent ConversationHistory (Source 20-30) and produce a draft for the SESSION_SUMMARY section of the HANDOFF_SNAPSHOT_PROMPT (Source 27-30).

    • Benefits:

      • Automation & Organization: Streamlines the crucial handoff process.

    • CRAFT Principles:

      • Cumulative Intelligence (Source 13, 38): Ensures better context preservation between sessions.

      • Human-AI Partnership (Source 14, 39): AI assists in maintaining project continuity.

3. Deepening Reusability and Organization

  • Functions as "Prompt Snippets" or "Instruction Blocks":

    • Concept: Your existing build_expert_prompt (Source 133) is a great example. This can be expanded. Think of functions that return common instruction sets, like get_legal_disclaimer_text() or get_standard_seo_optimization_prompt().

    • Benefits:

      • Reusability & Organization: Standardizes frequently used blocks of text or instructions.

    • CRAFT Principles:

      • Conservation of Tokens (Source 17, 42, 132): Reduces repetition.

      • Structure Enables Freedom (Source 11, 36): Ensures consistency in boilerplate instructions.

  • Nested Functions for Complex Task Decomposition:

    • Concept: Define complex tasks by composing smaller, more specific functions. For example, create_blog_post(topic) might internally call research_keywords(topic), generate_outline(keywords), draft_article(outline), and optimize_for_seo(draft).

    • Benefits:

      • Organization & Abstraction: Breaks down complex problems into manageable, understandable parts.

    • CRAFT Principles:

      • Code as Conversation (Source 12, 37): Makes the overall process clearer.

      • Structure Enables Freedom (Source 11, 36): Allows for easier modification and debugging of specific parts of a larger task.

  • Libraries of Domain-Specific CRAFT Functions:

    • Concept: As the CRAFT project evolves, you could organize functions into "libraries" (perhaps just sections in your CFT-PROJ file or even separate linked files if the system supported it) based on domain or purpose (e.g., Marketing_Functions, Cybersecurity_Analysis_Functions).

    • Benefits:

      • Organization & Reusability: Easier to find and reuse relevant functions.

    • CRAFT Principles:

      • Cumulative Intelligence (Source 13, 38): Builds a powerful, organized toolkit over time.

      • Accessibility Through Familiarity (Source 15, 40): Users can learn and utilize relevant function sets.

4. Elevating Abstraction and Clarity

  • Functions Encapsulating Multi-Step AI Interactions:

    • Concept: A single CRAFT function call could represent a sequence of back-and-forth interactions with the AI that would normally take multiple prompts. For example, negotiate_deal_terms(initial_offer, desired_outcome, constraints) might hide several rounds of AI-powered refinement.

    • Benefits:

      • Abstraction: Hides complex interaction logic.

      • Conservation of Tokens (Source 17, 42, 132): Reduces the conversational overhead for the user.

    • CRAFT Principles:

      • Human-AI Partnership (Source 14, 39): AI handles the detailed steps, user guides the overall process.

      • Structure Enables Freedom (Source 11, 36): Simplifies invoking complex AI behaviors.

  • "Natural Language" Aliases for Functions:

    • Concept: While maintaining the Python-like syntax for definition, allow users to invoke functions using more natural phrasing that the AI is trained to map to the formal function call. For example, "AI, please summarize this article for a busy executive" could map to create_tldr_summary(article_text, audience_profile="executive").

    • Benefits:

      • Accessibility: Lowers the barrier to using functions for non-technical users.

    • CRAFT Principles:

      • Accessibility Through Familiarity (Source 15, 40): Offers an even more conversational interface.

      • Code as Conversation (Source 12, 37): Blurs the line further in a user-friendly way.

  • Functions with Built-in Versioning:

    • Concept: Similar to your file versioning, CRAFT functions could have explicit versions, e.g., generate_image_prompt_v2(description). This allows for experimentation and improvement without breaking existing workflows that rely on older versions.

    • Benefits:

      • Organization & Reusability: Manages changes and evolution effectively.

    • CRAFT Principles:

      • Cumulative Intelligence (Source 13, 38): Allows the framework and its components to improve iteratively.

      • Structure Enables Freedom (Source 11, 36): Provides stability while enabling innovation.

5. Strengthening Human-AI Partnership & Cumulative Intelligence

  • AI-Suggested Function Use:

    • Concept: The AI, based on the conversation or the user's described task, could suggest the use of an existing CRAFT function. "#AI->H::RecommendMakingThisAFunction:" (Source 56) is already a great start. This could be expanded to: "#AI->H::Suggestion: You could use the analyze_sentiment(text) function here. Would you like to proceed?"

    • Benefits:

      • Human-AI Partnership (Source 14, 39): The AI actively helps the user leverage the CRAFT framework.

      • Accessibility: Helps users discover and learn available functions.

    • CRAFT Principles:

      • Code as Conversation (Source 12, 37): The AI participates more actively in structuring the interaction.

  • Functions that Learn or Adapt Over Time (Advanced Concept):

    • Concept: A CRAFT function's internal logic or default parameters could subtly adapt based on feedback or outcomes from previous calls (if the AI platform and CRAFT framework were designed to support this kind of learning). For instance, if a generate_social_media_post function consistently gets positive feedback for a certain style, it might subtly favor that style more.

    • Benefits:

      • Cumulative Intelligence (Source 13, 38): Functions become more effective with use.

    • CRAFT Principles:

      • Human-AI Partnership (Source 14, 39): The system refines itself based on collaborative experience.

  • Functions for Metacognitive Tasks:

    • Concept: Functions that help manage or analyze the CRAFT process itself. Examples:

      • validate_craft_syntax(code_block)

      • find_related_project_assets(keyword)

      • check_prompt_for_constraints_alignment(prompt_text, constraint_set_name) (using ConstraintSet (Source 118-119))

    • Benefits:

      • Organization & Human-AI Partnership: Helps maintain the integrity and efficiency of the CRAFT project.

    • CRAFT Principles:

      • Structure Enables Freedom (Source 11, 36): Tools to ensure the framework is used effectively.

      • Cumulative Intelligence (Source 13, 38): Building tools to understand and manage the accumulated knowledge.

By creatively adapting functions in these ways, the CRAFT framework can become even more powerful, intuitive, and aligned with its core philosophical principles, ultimately enhancing the collaborative experience between you and the AI.

Richard Ketelsen
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