Gentic Agents are built to not just work on tasks but to also work by aligning with your organization principles and values. Learn how the system works and see how configurable our agents are.

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Architecting Truly Configurable Agentic AI: Inside Gentic’s Agentic System

In the evolving landscape of artificial intelligence, the shift from static automation to dynamic, autonomous agents marks a significant transformation. Traditional AI systems often operate within rigid parameters, executing predefined tasks without adaptability. However, the emergence of Agentic AI introduces systems capable of autonomous decision-making, learning, and adaptation, aligning more closely with human-like reasoning and behavior.

At Gentic, we are at the forefront of this transformation. Our Agentic System is designed to empower organizations to build AI agents that are not only autonomous but also aligned with specific organizational principles and values. This system provides comprehensive tooling to define guardrails, set detailed behavioral guidelines, and configure every aspect of agent behavior, including low-level language model parameters.

In this blog post, we delve into the unique aspects of Gentic's Agentic System. We'll explore how it allows for the definition of organizational principles and values, the tooling available to set guardrails and specify agent behavior, and the configurability of system principles. Additionally, we'll discuss how Agentic Value settings and tunable knowledge sources enable data-backed decisions and workflow automation. Finally, we'll examine the architecture of the Agentic System, highlighting how real-time interactions, powered by an event system, keep agents up to date and enable the execution of complex, knowledge-based tasks.

How the Gentic Brain Makes Agents Truly Configurable

At the core of Gentic's agentic platform is the Gentic Brain — a highly modular and tunable architecture designed to give organizations unprecedented control over how their AI agents behave, decide, and act. Unlike static models or rigid AI systems, Gentic agents are powered by a brain that is purpose-built to adapt to evolving business needs and align tightly with organizational goals.

Tooling for Behavioral Control

Gentic's tooling suite empowers organizations to exert granular control over agent behaviors:

• Guardrail Configuration: Establish ethical, factual, and operational boundaries to prevent undesired behaviors.

• System Rule Engines: Craft domain-specific rules to guide agent decision-making processes.

• LLM Parameter Control: Adjust language model parameters such as temperature, top_p, and frequency_penalty to influence agent responses.

• Knowledge Tuning: Integrate curated datasets, trusted knowledge graphs, and system memory sources to inform agent decisions.

• Workflow Configuration: Define complex task orchestrations using trigger-driven workflows, enabling agents to execute multi-step processes.

This comprehensive tooling ensures that agents can be tailored to align with specific organizational goals and operational contexts.

Let's explore the key layers that make the Gentic Brain uniquely configurable.

Principles & Values Engine

The Gentic Brain begins with an embedded Principles and Values Engine. This layer lets organizations define their fundamental rules of engagement — the moral compass and operating philosophy that every agent must honor. Whether it’s adhering to a zero-data-leakage policy, or ensuring a customer-first attitude, these principles shape the very baseline of agent decision-making. Values tuning allows businesses to emphasize traits like empathy, urgency, risk-aversion, or innovation in how agents behave across workflows.

Configurable System Principles

System Principles serve as the foundational guidelines for agent behavior within the Gentic framework. Organizations can define and modify principles such as:

• "Maintain factual accuracy."

• "Prioritize user privacy."

• "Act with empathy."

These principles are not static; they dynamically influence agent reasoning and decision-making processes, ensuring alignment with evolving organizational values.

Agentic Value Setting

Beyond overarching principles, Gentic allows for the configuration of Agentic Values that shape how agents prioritize actions and make decisions:

• Proactivity: Encouraging agents to take initiative in interactions.

• Flexibility: Allowing agents to adapt to varying contexts and user needs.

• Goal Orientation: Focusing agent behavior on achieving specific outcomes.

These values enable the creation of agents that not only adhere to defined principles but also exhibit behaviors aligned with organizational objectives.

Knowledge Sources Engine

True intelligence demands reliable, up-to-date knowledge. The Knowledge Sources Engine integrates internal databases, curated knowledge graphs, business documents, API-connected tools, and more. Even hybrid retrieval modes are supported — blending dense retrieval (vector embeddings) with symbolic graph traversal — ensuring that agents can draw not just from stored knowledge but also reason across connected concepts and live sources, with recency filters to prioritize fresh information.

Tunable Knowledge Sources

Gentic's Agentic System supports the integration of diverse knowledge sources, allowing agents to make informed, data-backed decisions:

• Internal Knowledge Graphs: Structured representations of organizational knowledge.

• External APIs and Databases: Access to real-time data and external information repositories.

• Memory Modules: Short-term and long-term memory systems that enable agents to retain and recall relevant information.

Organizations can configure these sources to ensure that agents have access to accurate, relevant, and up-to-date information, enhancing decision-making capabilities.

Context & Memory Layer

Agents at Gentic aren't trapped in short-term recall loops. Through the Context & Memory Layer, agents maintain deep, longitudinal context across sessions. This includes personalized memory of user preferences, historical conversations, ongoing workflows, and environmental signals. The context engine is tunable: organizations can define what information should persist, how memory should decay over time, and what parameters (like recency or relevance) to prioritize in recall.

Configurable Contexts with Hybrid Retrieval

Understanding context is crucial for intelligent agent behavior. Gentic's system allows for the configuration of contexts through hybrid knowledge and graph-based retrieval mechanisms:

• Hybrid Retrieval Models: Combining text similarity with structured graph retrieval to enhance contextual understanding.

• Recency Scoring: Prioritizing recent information to ensure relevance in dynamic environments.

• Custom Algorithms: Tailoring relevance algorithms to specific domains or use cases.

These configurations enable agents to interpret and respond to inputs with a nuanced understanding of context, improving interaction quality and effectiveness.

By combining these powerful, independently tunable components, Gentic enables organizations to deploy agents that are not just "smart," but deeply aligned, governable, and future-proof. Instead of being locked into generic AI behavior, businesses gain living, learning agents built to grow and adapt with them.

The Agentic Architecture

The Gentic Agentic System is composed of interconnected components that work cohesively to facilitate intelligent agent behavior:

• Realtime Interactions: Agents engage with users through chat, voice, video, and APIs, processing inputs and delivering outputs in real time.

• Agentic Core: The central processing unit where traits, thoughts, knowledge, decisions, and workflows converge, guided by defined principles, rules, and values.

• Event System: A dynamic mechanism that keeps agents updated with task statuses, notifications, and system messages, ensuring synchronization with their environment.

• Workflows Engine: Enables agents to execute complex, multi-step workflows, integrating knowledge retrieval and real-world actions.

• Agent Knowledge Engine: Provides agents with access to context-aware, verified knowledge graphs and memory systems, grounding decisions in reliable information.

• Tool Chains: Facilitates agent interaction with internal and external tools, including APIs, automation scripts, and action libraries, extending their operational capabilities.

This architecture ensures that agents are not only intelligent but also adaptable, responsive, and aligned with organizational goals.

Conclusion

Gentic's Agentic System represents a significant advancement in the development of intelligent agents. By providing a configurable framework that integrates principles, values, knowledge, context, and workflows, organizations can create AI agents that are not only capable but also aligned with their unique objectives and ethical standards. This level of customization ensures that agents are trustworthy, effective, and truly representative of the organizations they serve.

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