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Overview

QuivaWorks is built around several core concepts that work together to create intelligent, reliable AI agent systems. Understanding these concepts will help you design and implement effective solutions for your business needs.

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Smart Agents

At the heart of QuivaWorks are Smart Agents - AI-powered entities that can understand context, make decisions, and interact with your systems and data.

What makes an agent 'smart'?

Unlike simple chatbots, QuivaWorks agents have built-in intelligence features that make them reliable for production use

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Key Agent Features

Agents automatically validate their responses against defined schemas. If output doesn’t match requirements, the agent enters a correction loop to fix issues before proceeding.Example: An agent generating customer reports will automatically verify all required fields are present and correctly formatted before sending.
AI prompting that automatically optimizes based on agent settings, usage patterns, and success rates. Your agents get better over time without manual intervention.Example: An agent handling support tickets learns to provide more relevant responses based on resolution success rates.
Intelligent memory system that includes relevant conversation history and context while filtering out unnecessary information to maintain performance.Example: A sales agent remembers previous customer interactions but doesn’t get overwhelmed by irrelevant historical data.
Define business-specific behavior, tone, and response patterns that align with your company’s standards and requirements.Example: Configure agents to follow your brand voice, compliance requirements, and escalation procedures.

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Flows and Workflows

Flows are visual representations of business processes that connect agents, systems, and human decision points into coherent workflows.

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Flow Components

Agents

AI entities that process information and make decisions

Functions

Custom business logic and data processing

HTTP Requests

API calls to external systems and services

Conditions

Branching logic based on data or agent decisions

Loops

Iterative processing for complex workflows

Human Gates

Points where human approval or input is required

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Flow Capabilities

Drag-and-drop interface for creating complex workflows without coding. Real-time testing and validation ensure your flows work before deployment.

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MCP Servers

Model Context Protocol (MCP) Servers provide standardized interfaces between agents and external systems, tools, and data sources.
MCP is an open standard that enables AI agents to securely connect to various tools and data sources in a consistent way.

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MCP Server Features

  • Auto-Generation: Create MCP servers automatically from OpenAPI specifications or Postman collections
  • Built-in Authentication: Secure connections with OAuth, API keys, and other authentication methods
  • Native Support: First-class MCP protocol support built into the platform
  • Custom Servers: Build specialized servers for unique business requirements

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Common MCP Server Types

Data Sources

Connect to databases, files, APIs, and other data repositories

Business Tools

Integrate with CRM, ERP, marketing platforms, and SaaS applications

Communication

Email, Slack, Teams, and other messaging platforms

Custom APIs

Your proprietary systems and internal tools

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QuivaCloud Infrastructure

The underlying platform that powers your agents and workflows with enterprise-grade reliability and performance.

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Core Infrastructure Components

  • Functions and Containers: Serverless execution environment for custom business logic
  • Storage Solutions: Persistent memory for agents and workflow data
  • Real-time Data Streams: High-performance data processing and routing

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Marketplace

The Marketplace is an ecosystem where you can discover, share, and monetize AI agent solutions.

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Marketplace Content Types

Pre-built agents for common business functions like customer support, data analysis, content generation, and workflow automation.
Ready-to-use connectors for popular tools and services, plus custom API integrations with built-in authentication.
End-to-end business process automation solutions that combine multiple agents, integrations, and business logic.
Reusable business logic components that can be incorporated into custom workflows.

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Benefits for Different Users

For Implementers

  • Accelerated development with proven solutions
  • Pre-built integrations to popular business tools
  • Community-validated workflows and patterns

For Contributors

  • Monetize expertise through revenue sharing (80/20 split)
  • Build reputation in the AI automation community
  • Access to advanced development tools and APIs

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How It All Works Together

1

Design Your Workflow

Use the visual flow builder to map out your business process, identifying where agents, systems, and human input are needed.
2

Configure Smart Agents

Set up agents with appropriate instructions, validation schemas, and context requirements for each step in your workflow.
3

Connect Your Systems

Use MCP servers to securely connect agents to your existing tools, databases, and APIs.
4

Deploy and Monitor

Launch your workflow on QuivaCloud with built-in monitoring, logging, and performance tracking.
5

Optimize and Scale

Use analytics and feedback to improve performance, then scale across your organization.

Ready to dive deeper?

Explore our Architecture Guide to understand how these concepts work together, or check out real-world use cases to see them in action.

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Next Steps

Architecture Overview

See how all components work together in the platform architecture

Use Cases & Examples

Explore practical applications and implementation patterns

Quick Start Guide

Build your first intelligent workflow

API Reference

Technical documentation for developers