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Month: March 2025

AGENT STORYTELLING: THE PRACTICAL INTERFACE FOR EXPANSIVE AGENTS

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.


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.

THE EXPANSIVE AGENTS MANIFESTO: THERE AND BACK AGAIN

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.

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