Realitycraft

Realitycraft: Choosing Your AI Tools & Processes

xrguild

Metaverse Standards

Virtual Worlds Museum

Holo Art

Evo Heyning

CEO at Realitycraft, Award-Winning Producer, XR/AI Futures Design & Concept R&D

Introduction to the language terms and types of tools used in generative media production from concept to post at work

What are the common types of generative tools people use?

Separating tools used for creative worldbuilding, types of ML & AI tools including procedural, generative & interactive

Defining interactive, immersive & generative media tools

How to get started, test & organize your experiments across different tools including open source, beta, local models

Where do you get started organizing your media experiments?

Not all tools are equal; companies may not be designing for your needs. We'll discuss how to assess, test & choose tools

What questions do you ask before engaging a new tool?

How to determine quality of generative results and whether generated value is appropriate for cost/credits/energy

When do you choose to keep or ditch a process?

The best guide for leaders to implement Generative AI in their businesses with real results. What You'll Gain: Strategic Clarity:&nbsp;Understand the transformative power of generative AI and how it can reshape your industry and business models. Actionable Insights:&nbsp;Learn how to identify and evaluate high-impact opportunities for implementing generative AI across your organization. Practical Skills:&nbsp;Develop the skills to lead AI initiatives,&nbsp;make informed technology investments,&nbsp;and mitigate associated risks. Competitive Edge:&nbsp;Gain the knowledge to leverage generative AI for innovation,&nbsp;efficiency,&nbsp;and growth,positioning your company ahead of the curve. ﻿Confident Leadership:&nbsp;Become a champion for AI adoption,&nbsp;empowering your teams to harness its potential for success. Key Focus Areas:﻿* Demystifying Generative AI:&nbsp;Understanding the core concepts,&nbsp;capabilities,&nbsp;and limitations of generative AI technologies. * Identifying Business Opportunities:&nbsp;Exploring real-world use cases and identifying high-potential areas for implementation within your organization. * Strategic Planning &amp; Execution:&nbsp;Developing a roadmap for AI adoption,&nbsp;including project selection,&nbsp;resource allocation,&nbsp;and change management strategies. * Risk Management &amp; Ethical Considerations:&nbsp;Understanding the potential challenges and ethical considerations associated with generative AI and developing strategies to address them. * Future-proofing Your Business:&nbsp;Staying ahead of the curve by anticipating advancements in generative AI and their implications for your industry. By the end of this course, you'll be equipped with the knowledge and tools to confidently lead your organization into the era of generative AI. All sessions will be recorded and made available for you to keep immediately after the course concludes. Interested in an enterprise license or NGO sponsorship so your team can take the course? Please reach out directly to amplify@ayeshakhanna.com

Amplify your potential with AI

Provide a brief description for each module as a way to sell the value of what students will be learning throughout the course.

First Module

Second Module

Third Module

Course syllabus

You will have access to all lessons once the cohort starts and can view them on your own pace.

42 Course Lessons

<ul><li>Course Orientation (1h, 1st week)</li><li>Final Remarks and Q&amp;A (1h, 3rd week)</li></ul>

Q&A with Dr. Ayesha Khanna

Course schedule

Senior Leadership (C-Suite and VP Level):Identify new business opportunities,&nbsp;optimize existing processes, make informed tech investments.

Department Heads &amp; Managers: (e.g., Marketing, Sales, Operations, HR, Finance) streamline workflows,&nbsp;boost efficiency,&nbsp;and improve decisions

Startup founders &amp; CEOs enhance business,&nbsp;from idea generation to solution building to customer service.

Who is this course for

What you’ll get out of this course

Understand the fundamentals of Generative AI, and how it is being used in different industries to increase productivity and profitability.

How Generative AI is different from existing AI techniques and why it is transformative for businesses


Identify AI opportunities by understanding your business needs,&nbsp;exploring use cases,evaluating feasibility, starting small ,and fostering AI at scale.

How to assess and identify business opportunities to leverage Generative AI.


Create an agile Generative AI roadmap fueled by data,&nbsp;collect information from diverse sources to tailor the Gen AI to your needs, identify priorities, estimate development efforts, and guide iterative development.

How to use data to build an agile roadmap for a Generative AI project


Get a practical roadmap for executing a Generative AI project,&nbsp;from ideation to deployment and learn how to overcome typical challenges and avoid common pitfalls.

How to run a Generative AI project lifecycle including choosing vendors and a team


Focus on business metrics that matter such as efficiency gains (time saved,&nbsp;cost reduction,output increase), quality improvements (accuracy, novelty, customer satisfaction), business outcomes (revenue growth, market share), and user experience (adoption, satisfaction).

How to choose realistic metrics to track the impact of Generative AI projects.


Make AI decision-making processes understandable,&nbsp;ensure accountability by assigning clear responsibility for AI actions and outcomes ,and uphold data privacy by securely collecting, storing ,and using data in compliance with relevant regulations.

How to create an AI governance policy to manage the risks related to AI and data.


Learn how to successfully build Generative AI solutions that increase productivity and profitability, and make you stand out in your career.


Cohort 3

Dr. Ayesha Khanna

Cohort 2

Cohort 4

Discover strategies for integrating AI tools seamlessly into your existing workflows, enhancing productivity and creativity. Learn how to use AI not just as a tool, but as a partner in innovation. You’ll see how an AI assistant can help you to redefine processes and create cutting-edge solutions in your professional domain. Understand the ethical implications of using AI in media, ensuring responsible and impactful application of these powerful tools in your work. When the course concludes you’ll be a go-to AI person among your colleagues.&nbsp;

What you will learn

Session 1

Office Hours

Session 2

Office Hours. 

Session 3

Session 4

Whether you're a reporter, editor, content creator, or producer, this course will equip you with the techniques to help you in your work

If you’re an entrepreneur, media innovator or leader, this course will help you understand how AI can help you drive innovation

Perfect for you if you’re a marketing, PR or corporate communications professional looking to leverage AI to sharpen your brand storytelling

Gain hands-on experience with AI tools &amp; techniques specifically tailored for media applications. Develop a deep understanding of the ethical considerations &amp; best practices for using AI in media. When the course concludes you’ll feel more confident with a range of AI tools.&nbsp;

Practical AI Skills for Media Applications

Delve into the art &amp; science of prompt engineering. This skill is vital for anyone looking to optimize the performance of generative AI tools. You’ll end the course with a collection of useful prompts and the know-how to refine your own custom prompts.&nbsp;

Excel in Prompt Engineering for Generative AI

Learn how to leverage generative AI for sophisticated data analysis, enabling you to extract meaningful insights, identify trends, and create compelling data-driven narratives. By the end of the course you’ll understand how AI can assist you in analyzing data efficiently.

Master Generative AI for Data Analysis

Acquire the skills to assess, select, and effectively integrate the best contemporary AI tools into your existing workflow, enabling you to streamline your processes and enhance your productivity. You’ll end the course with your own personal AI toolkit.&nbsp;

Build Your Personalized AI Toolkit

Position yourself at the forefront of the media industry's digital transformation, equipping yourself with cutting-edge skills that will make you invaluable in a rapidly evolving professional landscape. You’ll be well-positioned for your next project.

Future-Proof Your Media Career

Be the go-to AI guru on your team. Learn to leverage AI for enhanced efficiency and get ahead on the latest AI tools to apply to your work. 

Jeremy Caplan

Author of Wonder Tools, Director of the Entrepreneurial Journalism Creators Program at CUNY's Newmark Graduate School of Journalism

Nikita Roy

ICFJ Knight Fellow, Founder of Newsroom Robots Labs

November 2024

March 2025

The challenge: most people who don't have a technical background do not understand the reasons why products like ChatGPT, Claude, or Cursor respond the way they do. Because of this, they also don't understand how to get what they want and need out of AI tools. A quick story: my sister is a physician-scientist. She has an MD-PhD. She does cutting edge scientific research and works with data on the daily. Last year, we were on a video call where she mentioned being unimpressed with ChatGPT's response to her work question. She told me what she was trying to do, and I went, "wait, AI could definitely handle this - what did you type?" I flipped the screen, pointed it at my monitor, and proceeded to have a conversation with ChatGPT that got her all the answers she needed in just a few minutes. This "capability unlock" has gone on to save her at least an hour in her work every day. DAILY. And she was mere seconds away from having given up on it, thinking AI wasn't yet good enough to get the job done. And this is when I realized, every non-technical user needs to understand not just "prompt engineering," as you've heard described elsewhere.It's more fundamental than that. It's...• The reasons and treasons of why AI does or doesn't give you a good answer• The nuances of technical limitations (safety, length, 'correct' output)• The incredible power of chain of thought &amp; reflective techniques This 3-day intensive will cover the above, and so much more, with the outcome of getting you to become fluent in talking to AI systems, including large language models (like ChatGPT/GPT-4o out of OpenAI, Claude out of Anthropic, LLaMA out of Meta) and image generation models (like Midjourney, DALL-E, and Stable Diffusion). And when I say "fluent," I mean something very specific. Just as language fluency isn't about memorizing phrases from a travel guidebook, AI fluency isn't about collecting prompts from Twitter. True fluency means understanding the deeper patterns of interaction -- knowing when to push, when to pivot, and most importantly, why. Consider this: most courses teach you what to say to AI. This course teaches you how to think about AI conversation. It's the difference between learning to order coffee in French versus understanding why French speakers structure their thoughts the way they do. What you'll get out of the 3 day intensive - Day 1Mental Models &amp; Mechanics• What AI knows versus what it can do; how AI reads, thinks, and speaks, + biases and limits• The hidden landscape of latent space, embeddings, and vectors - what does it all mean for your usage?• Differences in AI paradigms, LLM models, genAI models, and the applications that sit on top of them Day 2Conversations &amp; Debugging• Ask the unaskable: form questions that inspire LLMs to answer you; learn the DRIVE context framework• Use layered prompting and multi-turn conversations for your most advanced queries and topics• Get AI to "think out loud," giving you more data, more insights, and the ability to iterate over time Day 3Advanced Applications• Use reflective and agentic techniques + products to get AI "working for you" - soon, you'll have a team• Get multi-modal - combine models, model types, and apps to generate fast, impactful outputs• &amp; more: analysis, tools, fine-tuning, hallucinations, ethical considerations, and real world use And more• retrieval augmented generation (RAG), code use, integration + extensions, voice-based nuances• chain of thought, reflection, context windows, and other AI concepts explained• how do apps make use of LLMs, how is AI being integrated by companies across tech At the end of this 3-day intensive, you'll...• be able to transform vague ideas into incredible outputs, whether you're brainstorming, working with data and statistics, coding with AI, using it for workflow, asking it knowledge questions, utilizing it for research, adopting it as a content companion, or using it in an academic setting• troubleshoot and debug AI responses - you'll know when you've hit a real limit versus a bug or user error, unlocking the boundaries of what AI can do before anyone else -- no matter the field you're in• future-proof your skills - because you're going to have a deep understanding of how these products work, you'll remain capable of using them as the models are continuously updated and evolved, even as the rapid pace of AI development continues It's about harnessing the power of this transformative technology to amplify your own creativity, productivity, and impact on the world. Get ready to go beyond "prompt engineering" and embark on a journey to truly master the art and science of communicating with AI. Are you ready to unlock the conversation?

You're probably bad at talking to AI. I'll make it your smartest friend.

3 days of live classes

Can't make it to the live classes or want to watch them again later? We'll make each day's content available same-day for all students.

Access recordings forever

There will be several projects and optional group workshops to turn the content into usable muscle - attend live for instructor feedback, or access projects, examples, and templates at your own pace - including permanent access after the course ends.

Daily projects (optional)

Non-technical or semi-technical professionals (throughout knowledge work) looking to gain an upper hand in this AI moment.

Anyone who has felt the gap between AI's potential, what they hear about what it can do, and their ability to access the upside.

NOT for engineers who already use LLM copilots every day. NOT for people looking for quick prompt templates.

You'll learn about the cognitive architecture that underpins not just LLMs, but the way that products and apps are built around them. These patterns will work across AI models and will continue working as systems evolve.

Instead of AI prompt templates, learn conversational design patterns

It's hard for even the most AI-passionate people to integrate and reliably, consistency use AI products. I'll give you systems, shortcuts, and methods for making it second nature -- we'll build your AI muscle.

Instead of treating ChatGPT like a magic answer box, you'll make it a constant companion

"Why does it hallucinate here, but not there? When should I restart a conversation versus redirect it? Why does it sometimes forget what we just discussed? How does its sourcing work? When is more context good versus bad?" You'll know. And you'll know what to do next.

Instead of getting frustrated, you'll know how to iterate your way to results

You'll master the art of progressive refinement, building complex outputs and systems, and be able to leverage all of this to be top .5% in your field -- whether that's at work, with a hobby, with a side project, or with something personal.

Instead of being left behind, you'll get and stay ahead of the AI curve

Develop a foundational understanding of how AI & LLMs see, hear, and read your input, + how to use them to 10x your output speed and impact.

Sherveen Mashayekhi

Founder & CEO @ Free Agency; Product Leader @ Stella (AI job matching), Toptal

Cohort 1

Ready to move from AI uncertainty to AI leadership? In a world where everyone's talking about AI, product &amp; design professionals need to do more than just understand it—they need to master it responsibly. This isn't another theoretical AI course. It's your practical roadmap to becoming the go-to AI product or design leader in your organisation, combining hands-on skills with ethical principles that will set you apart. Why This Course Is Different:While others teach you to use AI tools, we teach you to master AI thinking. Our human-centered learning system doesn't just dump information—it rewires how you work with AI through: - Mental models that make AI decisions intuitive- Micro-habits that make AI integration automatic- Practical workflows that make AI implementation natural- Weekly live sessions that make ethical principles actionable Instead of overwhelming you with AI theory, we build your confidence through: - Practical application in your actual work, starting day one- Real-world case studies, not theoretical scenarios- Active learning through peer discussions and feedback- A proven system for continuous adaptation as AI evolves. Your 6-Week Transformation: Week 1: Understanding the Paradigm Shift to AI-driven worldTransform from wondering about AI's potential to making strategic AI decisions. Build the foundation for responsible AI leadership in your organisation. Live Ethics Session: Intro to AI Ethics &amp; Global Ethical Frameworks Week 2: From AI-User to AI-CommunicatorMaster the art of AI interaction with large-language models while maintaining privacy and trust. Learn to get consistently high-quality outputs that align with your goals. Live Ethics Session: Human Autonomy &amp; Oversight in an AI World Week 3: From Uncertainty to Quality AssuranceStop wondering if AI outputs are reliable. Build robust validation practices that ensure trustworthy results with limited bias every time. Live Ethics Session: Fairness and AI Bias Week 4: From Tool User to Strategic IntegratorLevel up from basic AI usage to strategic implementation. Learn to leverage AI's "collective intelligence" while understanding industry-wide impacts. Live Ethics Session: Building Transparency in AI Systems Week 5: From Single Tools to AI WorkflowsAdvance from using individual AI tools to orchestrating multiple AI capabilities in sophisticated, ethical workflows. Live Ethics Session: Data Protection &amp; Privacy Week 6: From Implementer to AI LeaderEmerge as a responsible AI leader who can drive adoption while ensuring ethical implementation across your organisation. Live Ethics Session: Accountability for AI Implementers The AI landscape is moving faster than you can blink. While others are still debating whether to use AI, you'll be showing them how to use it right. Join progressive product &amp; design leaders from innovative organisations who are transforming their AI approach through this proven methodology. Your Weekly Experience Includes:﻿- Focused e-learning modules that build practical skills- Real-world exercises you can apply immediately in your everyday work- Mental models that transform how you think about AI and makes applying learnings 10x more effective- Micro-habits that make AI integration natural- Live ethical sessions with practical case studies &amp; peer discussions that expand your perspective This course has been designed to reduce the friction of learning to adapt to AI driven ways of work, as well as boosters to accelerate your learning journey. BONUS BOOSTERS- Create Your Personal AI Adoption Blueprint: Giving your a starting point for adapting your ways of working- Create Your AI Writing Partner: A CustomGPT that writes exactly like you (but faster)- Learn a Rapid AI Research &amp; Learning Workflow: Never fall behind on AI developments again- Redesign one of your workflows to be AI+Human collaboration Don't just keep up with AI—learn to lead with it. Join us and become the product or design professional who knows how to harness AI's potential while ensuring it's implemented responsibly. Let's build a future working alongside trustworthy AI we can all be proud of.

Build AI confidence: Responsible implementation for everyday work

Weekly Live Session, where we unpack 1 AI ethical principle using real world case studies and peer to peer discussions.

Wednesdays 

Learning contact time 1 hour self paced lessons + 1.5 hours weekly live session + community engagement. You'll be given practical exercises &amp; micro-habits to apply learnings directly to your AI use in your daily work.

Weekly Time Commitment

Designers, Product Managers responsible for designing and deploying AI Products. You want to scale your impact (without burning out)

Non-technical professional who want to learn AI, without being overwhelmed with technical jargon

Founders, executives &amp; managers who are responsible for AI product success and risk management

Without the right mental models, applying skills you learn is exponentially harder.

Learn new mental models essential for effective Generative AI use

Understanding AI's underlying capabilities helps you use it effectively, spot opportunities in various contexts, and solve specific problems. This knowledge empowers you to leverage AI optimally across different situations.

Learn AI capabilities without the tech jargon

Getting the best out of Large language models like ChatGPT &amp; Claude requires a clear set of instructions and all the necessary context to do a good job. Learn memorable techniques that will rapidly improve your prompting and the quality of AI outputs.

Master your communication with Generative AI system like ChatGPT

Learn practical skills in spot bias and fact-check output from large language models to reduce risk of inaccuracies or hallucinations.

Gain practical skills to critically assess AI-generated outputs, focusing on identifying inaccuracies and biases

Ethics workshops spotlight key principles through real-world case studies. Peer discussions unpack ethical dilemmas, using real world case studies of when AI goes wrong. This practical approach prepares you to apply ethics in your daily work

Learn to apply AI Ethical Principles to AI systems at work and how they could relate your personal life as well. 

Moving from experimenting adhoc with Generative AI to totally redesigning workflows to deeply integrate AI &amp; points for human oversight.

Learn methods to redesign new Human+AI ways of working

Data informed decision making will become critical in every role. Learn the basics of how to leverage AI to help me make better informed decisions.

Learn how to make better data-informed decisions

Master the skills in using Generative AI for work and implementing AI responsibly by building trustworthy AI products that drive adoption

Lightning Lessons

Realitycraft: Choosing Your AI Tools & Processes