<h3>Phase 5: Advanced Features & AI Integration</h3>
<p>
Phase 5 enhances FlowDrop with advanced capabilities that leverage AI, external system integrations, and dynamic workflow optimizations. This phase moves the project from a core workflow management system to a next-generation intelligent orchestration tool. The goal is to enable self-optimizing workflows, real-time data-driven decisions, and seamless connectivity with third-party systems.
</p>

<h4>Goals</h4>
<ul>
  <li>Integrate AI and ML-powered nodes into the FlowDrop ecosystem.</li>
  <li>Enable external system integrations and hybrid workflows.</li>
  <li>Provide advanced orchestration, adaptive execution, and optimization capabilities.</li>
  <li>Prepare FlowDrop for enterprise-scale and data-driven use cases.</li>
</ul>

<h3>Phase 5.1: AI-Powered Nodes</h3>
<p>
Introduce native AI nodes and processors that allow workflows to perform intelligent tasks without leaving the Drupal ecosystem.
</p>

<h4>Tasks</h4>
<ul>
  <li><strong>5.1.1: AI Node Processors</strong>
    <ul>
      <li>Create specialized node processors for AI tasks such as text generation, classification, sentiment analysis, and summarization.</li>
      <li>Allow configuration of different AI backends (OpenAI, Hugging Face, or on-premise LLMs).</li>
      <li>Implement rate-limiting and caching to control API costs and optimize performance.</li>
    </ul>
  </li>
  <li><strong>5.1.2: Data Preprocessing & Feature Extraction</strong>
    <ul>
      <li>Add nodes for cleaning, normalizing, and transforming incoming data for ML models.</li>
      <li>Support JSON, CSV, and entity-based data inputs for flexible pipeline setups.</li>
      <li>Provide reusable AI utility services within <code>flowdrop_ai</code> submodule.</li>
    </ul>
  </li>
  <li><strong>5.1.3: Inference & Decision Nodes</strong>
    <ul>
      <li>Allow workflows to make branching decisions based on AI model outputs.</li>
      <li>Support confidence thresholds and multi-output handling for classification tasks.</li>
      <li>Provide a fallback to deterministic nodes if AI predictions fail.</li>
    </ul>
  </li>
</ul>

<h3>Phase 5.2: External Integrations & Hybrid Workflows</h3>
<p>
Extend FlowDrop to connect with external systems, allowing workflows to orchestrate tasks across Drupal and third-party platforms.
</p>

<h4>Tasks</h4>
<ul>
  <li><strong>5.2.1: Connector Node Library</strong>
    <ul>
      <li>Develop reusable connector nodes for REST APIs, GraphQL, Webhooks, and databases.</li>
      <li>Support OAuth2 and API key-based authentication for secure integrations.</li>
      <li>Enable bidirectional communication for hybrid workflows spanning multiple platforms.</li>
    </ul>
  </li>
  <li><strong>5.2.2: Event-Driven Interoperability</strong>
    <ul>
      <li>Allow workflows to react to external system events using Webhooks or custom triggers.</li>
      <li>Integrate with message queues like RabbitMQ or Kafka for enterprise event streaming.</li>
      <li>Enable optional real-time and batch processing modes.</li>
    </ul>
  </li>
  <li><strong>5.2.3: SaaS & Cloud Service Nodes</strong>
    <ul>
      <li>Provide nodes for popular services such as AWS S3, Google Sheets, Slack, and CRMs.</li>
      <li>Allow configuration of service credentials and access tokens via Drupal config entities.</li>
      <li>Implement throttling, error handling, and recovery strategies for remote calls.</li>
    </ul>
  </li>
</ul>

<h3>Phase 5.3: Advanced Orchestration & Optimization</h3>
<p>
Introduce intelligent orchestration capabilities that optimize workflows dynamically and provide insights for self-tuning processes.
</p>

<h4>Tasks</h4>
<ul>
  <li><strong>5.3.1: Adaptive Execution Paths</strong>
    <ul>
      <li>Allow conditional branching and dynamic node skipping based on real-time data.</li>
      <li>Integrate AI decision nodes to select optimal workflow paths for performance or cost efficiency.</li>
      <li>Support runtime injection of configuration values for multi-tenant and multi-environment use cases.</li>
    </ul>
  </li>
  <li><strong>5.3.2: Workflow Optimization Engine</strong>
    <ul>
      <li>Analyze historical job execution data to identify bottlenecks and slow nodes.</li>
      <li>Provide recommendations for parallelization, caching, or load distribution.</li>
      <li>Optionally implement self-adjusting retries and backoff strategies for high-volume workflows.</li>
    </ul>
  </li>
  <li><strong>5.3.3: Predictive Monitoring & Insights</strong>
    <ul>
      <li>Leverage AI to detect anomalies in workflow performance and success rates.</li>
      <li>Offer predictive failure alerts before issues impact production workflows.</li>
      <li>Generate insights dashboards using Views or external analytics integrations.</li>
    </ul>
  </li>
</ul>

<h3>Phase 5 Outcome</h3>
<p>
Upon completing Phase 5, FlowDrop evolves into an intelligent, enterprise-grade orchestration platform. It supports AI-driven decisions, dynamic workflow optimization, and deep integration with external ecosystems. This phase positions FlowDrop as a next-generation solution for data processing, automation, and intelligent workflow management in Drupal environments.
</p>
