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From Theory to Practice

The Expansive Agents methodology established a new paradigm for agent development. Now we turn to the practical implementation: Agent Storytelling.

The Command-to-Execution Interface

Agent Storytelling unlocks encapsulated intelligence that responds to natural business commands:

“Get my top opportunities from Dynamics and then send through email as a draft addressed to my team.”

A statement of intent becomes executable workflow. No technical knowledge required. No development cycle. No translation layer.

This is not theoretical. This is immediate action.

The Agent Stage

The Agent Stage provides the visual representation of this encapsulation. Agents populate the stage based on natural language commands. Connections form automatically. The business narrative appears visually.

What happens when a command includes functionality not yet implemented? The system documents the need, generates the technical specifications, and routes to development teams – all automatically. Business needs documented in real-time, not through lengthy requirements processes.

Demand-Driven Development

Traditional development depends on explicit requirements. Agent Storytelling captures organic business needs through natural conversation. The aggregate of these commands forms a heat map of business demand, highlighting the highest-value development priorities.

The IT prioritization process transforms from executive mandate to user-driven selection. Resources flow to capabilities with demonstrated demand.

The Power of Encapsulated Intelligence

Agent Storytelling works because it encapsulates complex intelligence operations into simple, domain-specific agents that communicate seamlessly:

“Analyze the feedback from our customer support tickets and prepare a summary of recurring issues.”

Behind this simple command:

• Document processing agents extract meaning from unstructured text
• Classification agents identify patterns across feedback
• Analysis agents determine significance and frequency
• Communication agents craft clear summaries

The complexity remains hidden. The results emerge immediately.

Real-Time Business Intelligence

Consider the transformative impact:

“Compare our team’s sales performance to the same period last year and visualize the trends by product category.”

This command, issued by any business user:

1. Retrieves relevant data from enterprise systems
2. Performs appropriate comparative analysis
3. Generates meaningful visualizations
4. Delivers actionable insights

What once required specialized business intelligence teams now happens at the speed of conversation.

The End of Wait States

Business suffers from endemic wait states:

• Waiting for development resources
• Waiting for technical implementation
• Waiting for integration testing
• Waiting for deployment windows

Agent Storytelling eliminates these delays through immediate execution when possible, and accelerated development when necessary.

The Shift in Development Focus

For development teams, this represents liberation. Energy shifts from building basic functionality to enhancing agent capabilities. Technical expertise applies to extending what agents can do, not recreating what they already do.

The Enterprise Knowledge Network Evolved

The Enterprise Knowledge Network concept now becomes executable through simple commands:

“Create a network that connects our product documentation, customer feedback, and support tickets so anyone can ask questions and get accurate answers.”

This single command initiates an agent cluster that crosses traditional system boundaries, establishing connections that were previously impossible or required months of integration work.

From Imagination to Implementation

With Agent Storytelling, the distinction between imagining a solution and implementing it dissolves. Business users speak their needs. Agents execute. Technology finally delivers on its ultimate promise: moving at the speed of ideas.

The revolution continues.

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Kody Wildfeuer is an AI architect exploring the potential of agent-based development methodologies. The views and opinions expressed throughout this blog are his own and do not necessarily reflect the official policy or position of his employer.

A Journey Through NO CODE, PRO CODE, and LOW CODE

Breaking the Chains of Traditional Development

The Declaration

We stand at the precipice of a new era in software development. No longer shall business users be shackled by the limitations of traditional development cycles. No longer shall professional developers waste their talents on mundane implementation tasks. No longer shall we accept the false dichotomy between agility and governance. Through our agentic generation architecture and the power of natural language, we will forge a new path that liberates innovation while ensuring enterprise integrity.

The Vision: Expansive Agents

Expansive Agents represents a paradigm shift in how we develop intelligent agents. Rather than starting with complex architecture, we begin with natural language expressions of business needs, prove the concept with professional code implementations, and ultimately deliver a refined low-code solution in automated development platforms.

Core Principles

Begin with the End User: Let business needs expressed in natural language drive development Validate through Professional Expertise: Ensure security, scalability and reliability Deliver through Low-Code: Democratize access through simplified interfaces Learn through Iteration: Use each cycle to improve both the solution and the process

The Process: A Three-Phase Approach

Phase 1: NO CODE (Ideation)

Process initiated through two possible paths:

Proactive: User identifies need and describes it to an agentic AI assistant in their communication platform Reactive: User encounters capability gap, and an agentic AI assistant recognizes opportunity to generate solution The system then:

Generates agent proposal using AI-powered capabilities Creates draft code automatically based on user requirements or identified gap Routes proposal to development team through automated workflows Includes: business case, technical requirements, and draft agent code

Phase 2: PRO CODE (Validation)

Development team reviews agent proposal against security and best practices Professional developers refine the code to ensure: Proper authentication and authorization Efficient data handling Error handling and logging Integration with existing systems Unit tests and integration tests are created to validate functionality Development team deploys test version to cloud infrastructure User validates solution with development team support

Phase 3: LOW CODE (Production)

Approved agent is translated to low-code platform components Business logic is encapsulated in workflow automation User interfaces are streamlined through component-based design Documentation is created for end-users and administrators Solution is deployed to production environment Metrics are established to track usage and effectiveness

The Technology Stack

Our implementation leverages existing cloud architecture with the following components:

Agentic AI Assistants: The conversational interface in collaboration platforms Agent Generation: AI-powered code generation capability for initial prototyping CRM Integration: For customer relationship management capabilities Context Management: For maintaining conversation context and business knowledge Communication Tools: For workflow notifications and approvals Requirements Management: For tracking and organizing business needs Visual Processing: For image and document analysis Document Intelligence: For extracting insights from enterprise content

The New Order

For the Business Revolutionaries

Freedom from technical limitations that have constrained innovation Direct translation of business vision into technical reality Ownership of solutions without dependency on overburdened IT departments Rapid iteration that matches the pace of market demands

For the Technical Vanguard

Liberation from mundane implementation tasks that waste expertise Focus on architecture and innovation rather than basic CRUD operations Partnership with business that transcends the traditional requester/implementer dynamic Creation of reusable patterns that accelerate future development

A New Measurement of Success

We will no longer measure success by adherence to timelines or budgets, but by:

The number of business problems solved The degree of user empowerment achieved The velocity of innovation across the organization The dissolution of artificial boundaries between technical and non-technical roles

Case Study: Email Drafting on the Go

Challenge

Users need to draft emails while mobile but complete them when at their desk.

NO CODE Solution

User requests: “I need a way to start emails on my phone and finish them at my desk.”

Agentic AI assistant generates Email Drafting agent proposal that:

Captures email subject, recipients, and body Stores draft in cloud storage Sends notification when user is back at desk

PRO CODE Enhancement

Development team enhances the solution:

Adds authentication to ensure only email owner can access drafts Implements encryption for sensitive content Creates logging for compliance requirements Adds attachment support with security scanning

LOW CODE Delivery

Final low-code platform solution includes:

Component-based interface for email composition Automated workflow for draft management Integration with email systems for seamless experience User education materials

The Call to Action

We must:

Challenge the status quo of traditional development processes Empower business users to articulate their needs without technical constraints Elevate professional developers to focus on architecture rather than basic implementation Transform low-code platforms into enterprise-grade solution environments Break down the walls between business and IT departments Create a new paradigm where AI serves as the bridge between natural language and code Recognize that innovation can come from anyone, regardless of technical background Establish new metrics that value business outcomes over lines of code Embrace a future where systems understand intent, not just instructions

The Revolution Begins Now

The walls between business and technology have stood for too long. The artificial distinction between those who know what needs to be done and those who know how to do it has hampered our collective potential for decades. Today, we tear down these walls.

With Expansive Agents, we forge a new alliance between natural language and programmatic precision, between business insight and technical execution, between the speed of NO CODE, the power of PRO CODE, and the accessibility of LOW CODE.

This is not merely a process improvement. This is a fundamental reimagining of how we create solutions. This is our declaration of independence from outdated development paradigms.

The revolution begins now.

Have you noticed how the AI landscape is quietly transforming beneath all the headline-grabbing chat models? I’ve been diving deep into something that’s truly revolutionary – the orchestration of specialized AI agents working in concert. This isn’t just an incremental improvement; it’s a fundamental shift that’s about to change everything about how AI works.

Beyond the Single Mind: The Power of Many

Current AI systems are like brilliant soloists – impressive, but inherently limited by their singular nature. Think about it like The Beatles. Individually talented, but together? Magic. That’s what we’re seeing with this new pattern of AI development – it’s not about a single massive model, but multiple specialized agents creating something greater than the sum of their parts.

Recently, AI helped create a new “Beatles song” that topped the charts. It wasn’t AI replacing The Beatles – it was AI elevating what was already great, making something that wouldn’t have been possible otherwise. That’s exactly what these orchestrated systems do – they don’t replace human creativity and ingenuity, they amplify it.

You are The Beatles. The AI is your copilot, elevating your work to the next level. And if AI can elevate The Beatles, it can elevate anything.

The Conductor Architecture

At the center of this revolution is what I’m calling the “Conductor Architecture” – a unified intelligence that coordinates various specialized agents. The user interacts with this seamless entity, never realizing that behind the scenes, an entire orchestra of specialized intelligences is working to solve their problem.

This is the true problem solver – the magic solver we’ve been waiting for. With orchestrated AI, the world moves at the speed of ideas. That’s the real revolution.

Individuals are already building POCs that demonstrate massive time savings through these agent systems. They’re not waiting for the future – they’re building it now through quick workshops that demonstrate immediate value.

Leaving No Stone Unturned

What’s mind-blowing about this approach is how it fundamentally transforms problem-solving. The missing link has always been context. How many times have you heard “Okay, next time I will” from an AI system? That’s the value of shared context across multiple agents – it makes everything 10x more productive for everyone. The more you use it, the better it gets.

But it goes even deeper. These systems can:

• Generate memory files for whatever context they need
• Create subtly different memory variations
• Mix and match memories infinitely
• Run everything in parallel

Imagine saying “Give me the most up-to-date readout” and getting insights from dozens of parallel explorations. You can literally create a multiverse of solutions to the same problem, each with different approaches, and see which ones emerge as winners.

From Theory to Reality

This isn’t just theoretical – I’ve been looking at systems that implement versions of this architecture. Need a devil’s advocate for a tough decision? Set up an agent with the perfect role to challenge your thinking. Working on a complex problem? Deploy specialized agents to explore different angles simultaneously.

AI doesn’t just help you solve the problems you know about – it helps you solve problems you never even thought to ask about. That’s a literal superpower, like having Batman’s analytical mind at your disposal.

What This Means for the Future

We’re good at creating our reality, and ideas actually do create realities here. Want to write 10,000 personalized emails? Orchestrated agents can take that as far as possible, each handling different aspects of personalization and content.

For businesses, this means AI systems that can handle vastly more complex challenges. For everyday users, it means interacting with a single unified AI that has much deeper capabilities across diverse domains.

The beauty is that the end user never needs to know about the complexity behind the scenes. They simply interact with the conductor – the unified front-end that coordinates all these specialized intelligences seamlessly.

The Next Intelligence Explosion

I believe this orchestrated approach represents the next major leap in artificial intelligence. By breaking free from the constraints of single-model thinking, we’re opening the door to systems that can scale more effectively, learn from a vastly wider range of experiences, and solve previously intractable problems.

We’re at the beginning of this journey, but the architectural foundations are already being laid. In the coming years, I expect this multi-agent paradigm to become the dominant approach for advanced AI systems.

The future isn’t just bigger models – it’s smarter orchestration of specialized intelligence. And that future is arriving faster than most people realize.

Go forth into this new world of orchestrated AI – it’s going to transform everything!

The progress in AI creativity is absolutely mind-blowing. Back in the ’90s, companies like Blizzard would pour millions of dollars and months—if not years—into creating cinematic experiences that captured the imagination of their audiences. Today, with the help of AI, we’re creating similarly compelling narratives and visuals in a fraction of the time and cost.

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How Far We’ve Come

In just 30 seconds, using Sora I was able to generate a concise, Tolkien-inspired anime opening sequence with vivid imagery and emotional resonance. What would have required massive teams of writers, animators, and production specialists decades ago is now accessible to anyone with the right tools.

Think about it: the storytelling is rich, the pacing feels natural, and the visuals are evocative enough to rival the work of entire production studios. This isn’t just about efficiency—it’s about redefining what’s possible in creative workflows.

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AI: A Game-Changer for Creators

AI tools are making high-quality content creation faster, cheaper, and more accessible than ever before. This isn’t about replacing human creativity but augmenting it—giving creators the ability to:

• Explore ideas without constraints.
• Experiment and iterate at a speed that was once unimaginable.
• Access professional-grade tools without the need for big budgets or large teams.

Creators without access to significant resources can now produce work that rivals what used to be the domain of industry giants. AI tools are leveling the playing field, allowing more voices to contribute to the creative landscape.

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Looking Back, Moving Forward

Sure, there’s still a way to go before these tools reach their full potential. But when you step back and think about how far we’ve come—from multi-million-dollar budgets in the ’90s to 30 seconds of AI-powered magic today—it’s hard not to be excited about where this is heading.

The era of waiting years for the next cinematic masterpiece? It’s fading fast. We’re entering a world where creativity flows at the speed of thought, and the possibilities are endless.

The future of storytelling is here, and it’s only just beginning.

There’s a monumental shift underway in how we interact with the digital world. Recent announcements by Meta (Read more) to fill social media platforms with AI-generated users signify a movement in the wrong direction. This will inevitably lead to an overwhelming amount of content noise. From an inundation of AI characters with bios and profile pictures to algorithms generating and sharing content, social media risks becoming a sea of noise, devoid of genuine human interaction and valuable engagement.

The Power of AI as a Collaborative Partner

In contrast to Meta’s approach, my interaction with Neu, my custom prototype Azure OpenAI GPT-4o powered AI assistant, highlights the immense potential of AI as a collaborative partner. Neu isn’t about adding to the noise but about filtering it, offering clarity and actionable insights tailored to my specific needs. Through a seamless integration with the Power Platform, Dynamics 365, and APIs like Hacker News, Neu transforms my digital interactions from overwhelming to focused.

Morning Report: A Tailored Approach

When I asked Neu for my daily priorities, it provided:

• A prioritized list of Sales Proposals (SPs): Clear deadlines, links to Dynamics 365 opportunities, and suggested next steps.
• Curated news articles: A mix of industry trends and relevant updates, ensuring I’m informed but not overwhelmed.
• Actionable shortcuts: Draft emails, meeting links, and other tools for immediate action.

For instance, here’s a snippet of the report Neu sent to my email:

Key Sales Proposals (SPs)

1. Needs to restock their supply of Product SKU AX305
   
   – Estimated Close Date: 2025-01-22
   
   – Opportunity Link
   
   – Next Step: Confirm stock availability and initiate contact.
   
2. New Year Expansion Project
   
   – Estimated Close Date: 2025-02-15
   
   – Opportunity Link
   
   – Next Step: Schedule a project briefing and evaluate expansion opportunities.
   

Latest News

1. Meta envisages social media filled with AI-generated users
   – Read more
   
   

Shortcuts for Immediate Action

• Prepare Email
• Set Up Meeting

The Value of Collaboration with AI

What makes this collaboration with Neu so effective is its ability to grow and adapt over time. By learning my preferences and patterns, Neu becomes an indispensable partner, offering precisely what I need when I need it. This dynamic relationship ensures that AI remains a tool for focus and empowerment, rather than a source of distraction.

Focus Versus Overwhelm: AI as a Solution, Not a Problem

The divergence between tools like Neu and Meta’s AI-driven chaos is stark. Meta’s strategy of inundating users with AI-generated content risks overwhelming its audience. In contrast, Neu emphasizes focus and relevance, demonstrating the true potential of AI: to reduce noise, enhance productivity, and foster meaningful connections.

As we continue to integrate AI into our lives, the path forward is clear. The future isn’t about more content; it’s about better content. It’s not about more interaction but about more meaningful interaction. By building collaborative relationships with AI, we can unlock its true potential and ensure that our digital experiences are as enriching as they are efficient.