The CRAFT™️ Experiment

CRAFT™️ is an acronym for Configurable Reusable AI Framework Technology

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The CRAFT™️ Experiment Richard Ketelsen The CRAFT™️ Experiment Richard Ketelsen

CRAFT™️ Alpha: The Specialized Cookbook Approach: How CRAFT's CONTENT-AND-PROMO Cookbook Powers Every Blog Post

After testing AI frameworks and pushing boundaries with prompt engineering, I discovered something fascinating: the most powerful AI interactions don't come from complex, all-encompassing systems. They come from focused, specialized tools that do one thing exceptionally well.

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The CRAFT™️ Experiment Richard Ketelsen The CRAFT™️ Experiment Richard Ketelsen

CRAFT™️ Alpha: 25 Creative Ways to Transform Your AI Workflows with CRAFT Comments

These 25 ideas showcase practical patterns you can implement today, each designed to save tokens, prevent errors, and make your AI interactions more powerful. From dependency resolvers to state machines, from quality gates to reasoning validators—discover how CRAFT comments can revolutionize your workflow.

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The CRAFT™️ Experiment Richard Ketelsen The CRAFT™️ Experiment Richard Ketelsen

CRAFT™️ Alpha: The Birth of Structured AI Conversations

The CRAFT (Configurable Reusable AI Framework Technology) specification represents a fundamental shift in how we structure conversations with AI. By adapting object-oriented programming principles to natural language interactions, CRAFT creates a systematic approach to AI communication that solves real challenges faced by entrepreneurs and technical professionals.

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The CRAFT™️ Experiment Richard Ketelsen The CRAFT™️ Experiment Richard Ketelsen

CRAFT™️ Experiment: The First 6 Weeks - Getting Started with CRAFT™️

The CRAFT (Configurable Reusable AI Framework Technology) specification represents a fundamental shift in how we structure conversations with AI. By adapting object-oriented programming principles to natural language interactions, CRAFT creates a systematic approach to AI communication that solves real challenges faced by entrepreneurs and technical professionals.

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The CRAFT™️ Experiment Richard Ketelsen The CRAFT™️ Experiment Richard Ketelsen

CRAFT™️ Experiment: The Story of the First 6 Weeks of CRAFT™️

The CRAFT Framework—an acronym for Configurable Reusable AI Framework Technology—reimagines the landscape of prompt engineering. At its core, CRAFT transforms the traditional, often cumbersome approach to constructing AI prompts into a modular, highly configurable, and reusable system. Designed primarily for tech-savvy entrepreneurs, AI enthusiasts, and creative professionals, CRAFT bridges the gap between raw experimentation and a structured, dynamic method for interacting with advanced AI models.

By offering a system modeled after object-oriented programming principles, the framework treats each element—be it the context, the role the AI is to assume, the desired action, the output format, or even finer nuances like the target audience—as an independent yet interconnected unit. These “objects” not only encapsulate specific functionalities and data but also come with methods that allow them to interact, modify, and adapt in real time. This flexibility ensures that prompt configurations can evolve rapidly according to both user input and performance feedback.

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The CRAFT™️ Experiment Richard Ketelsen The CRAFT™️ Experiment Richard Ketelsen

CRAFT™️ Experiment: Copilot: Rethinking A.I. Objects (5 of 5)

The CRAFT Framework—an acronym for Configurable Reusable AI Framework Technology—reimagines the landscape of prompt engineering. At its core, CRAFT transforms the traditional, often cumbersome approach to constructing AI prompts into a modular, highly configurable, and reusable system. Designed primarily for tech-savvy entrepreneurs, AI enthusiasts, and creative professionals, CRAFT bridges the gap between raw experimentation and a structured, dynamic method for interacting with advanced AI models.

By offering a system modeled after object-oriented programming principles, the framework treats each element—be it the context, the role the AI is to assume, the desired action, the output format, or even finer nuances like the target audience—as an independent yet interconnected unit. These “objects” not only encapsulate specific functionalities and data but also come with methods that allow them to interact, modify, and adapt in real time. This flexibility ensures that prompt configurations can evolve rapidly according to both user input and performance feedback.

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The CRAFT™️ Experiment Richard Ketelsen The CRAFT™️ Experiment Richard Ketelsen

CRAFT™️ Experiment: Gemini: Rethinking A.I. Objects (3 of 5)

The current CRAFT framework brilliantly uses object-like "Data Types" (e.g., SocialPost, Workflow) to structure information. The next evolution is to introduce true "Project Objects"—dynamic entities that combine data, functions, and even their own interactive logic. This moves beyond simple data containers to create active partners in our workflow, fully embracing the CRAFT philosophies of "Code as Conversation" and "Human-AI Partnership".

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The CRAFT™️ Experiment Richard Ketelsen The CRAFT™️ Experiment Richard Ketelsen

CRAFT™️ Experiment: ChatGPT: Rethinking A.I. Objects (2 of 5)

At its core, CRAFT was invented to bridge the gap between conversational AI and software‐style rigor. Rather than treating each prompt as free‐form text, objects let us package related data and behavior into single, reusable units. This solves two big headaches:

  1. Preventing Repetition & Drift
    When you rely solely on ad‐hoc prompts—paragraph after paragraph of instructions—you inevitably end up retyping versions of the same idea (e.g., “Always follow the brand voice,” “Use these formatting rules,” etc.). Over time, slight wording changes can cause the AI to drift off course. Objects bundle all the relevant rules, data, and methods into one place so you only define them once.

  2. Maintaining Context Across Sessions
    Imagine you ask AI to research competitors today, then pick up again next week to write a summary. Without objects, you’d need to remind the AI of every detail (metrics, sources, past decisions). With objects like Workflow or KnowledgeGraphNode, the AI can reload a structured snapshot of the previous session’s state—no manual “recap” needed.

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The CRAFT™️ Experiment Richard Ketelsen The CRAFT™️ Experiment Richard Ketelsen

CRAFT™️ Experiment: Recap: Rethinking A.I. Functions (1 of 5)

In traditional programming, functions are the workhorses that make code modular, maintainable, and reusable. But what happens when we apply these same principles to AI conversations? Magic. By reimagining functions for the CRAFT framework, we unlock new levels of efficiency, clarity, and intelligence in our AI interactions.

Each adaptation we'll explore aligns with CRAFT's six guiding principles, creating a synergy that transforms chaotic AI chats into structured, evolving dialogues that build knowledge over time.

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