MyNinja

MyNinja coordinates multiple AI agents to execute interdependent tasks in sequence, automatically resolving data dependencies and handoffs between agents without requiring manual intervention. The system models workflows as directed acyclic graphs (DAGs) where each node represents an agent task, and edges represent data flow dependencies. Agents communicate through a shared state layer that tracks outputs from upstream tasks, enabling downstream agents to access and transform results without explicit human coordination.

MyNinja provides pre-built connectors to popular business applications (Slack, Salesforce, HubSpot, Gmail, Google Sheets, etc.) that abstract away API authentication, rate limiting, and data transformation. Each connector exposes a standardized interface for common operations (create, read, update, delete, search) while handling tool-specific quirks like pagination, field mapping, and error retry logic. Agents invoke these connectors via a function-calling interface, passing high-level parameters that are automatically translated to tool-specific API calls.

MyNinja deploys specialized AI agents (e.g., 'data extraction agent', 'approval routing agent', 'content generation agent') that are pre-configured with domain-specific prompts, tools, and decision logic. Each agent type is optimized for a specific class of tasks and can be instantiated multiple times within a workflow. Agents execute tasks autonomously by interpreting task descriptions, selecting appropriate tools from their available connector set, and making decisions based on task context and predefined rules.

MyNinja maintains a centralized state store that tracks outputs, intermediate results, and context across all agent executions within a workflow. As each agent completes a task, its outputs are persisted to this state store with versioning and audit trails. Downstream agents can query and access upstream results through a state retrieval interface, enabling data flow without explicit data passing. The state store also maintains execution history, allowing workflows to resume from failure points or replay past executions.

MyNinja provides dashboards and analytics that track workflow execution metrics including task completion rates, agent performance, bottlenecks, and error patterns. The system logs detailed execution traces showing which agents executed, what tools they called, how long each step took, and what data was passed between steps. Users can visualize workflows as interactive DAGs with real-time execution status, drill down into individual agent executions, and identify performance bottlenecks or failure points.

MyNinja provides pre-built workflow templates for common automation scenarios (lead qualification, invoice processing, customer onboarding, etc.) that users can customize and deploy without building workflows from scratch. Templates encapsulate best-practice agent configurations, tool integrations, and decision logic for specific use cases. Users can modify templates by adjusting agent parameters, adding/removing steps, or connecting different tools, then save customized templates for reuse across teams or projects.

MyNinja implements automatic error handling and retry mechanisms for agent task failures. When an agent encounters an error (e.g., API rate limit, transient network failure, tool unavailability), the system automatically retries the task with exponential backoff and jitter, configurable retry limits, and fallback strategies. Users can define custom error handlers that specify which errors are retryable, how many times to retry, and what actions to take if all retries fail (e.g., escalate to human, skip task, abort workflow).

MyNinja supports multiple execution triggers for workflows: scheduled execution (cron-based), event-driven triggers (webhook, tool events), and manual execution. Users can define schedules (e.g., 'run daily at 9 AM', 'run every hour') or configure webhooks to trigger workflows when external events occur (e.g., new lead in CRM, email received). The system manages trigger registration, deduplication, and execution queuing to ensure reliable and timely workflow invocation.

MyNinja maintains version history for all workflow definitions, tracking changes to agent configurations, tool integrations, and decision logic. Users can view the change history, compare versions, and rollback to previous versions if a new deployment causes issues. The system tracks who made changes, when they were made, and what was changed, providing an audit trail for workflow evolution. Deployments are atomic — either the entire new version is activated or the rollback is complete.

MyNinja tracks execution costs associated with agent runs, tool API calls, and data processing, providing visibility into automation spending. The system enforces execution quotas (e.g., max agents per month, max API calls) based on subscription tier, preventing runaway costs from unexpected usage spikes. Users can set budget alerts and view cost breakdowns by workflow, agent type, and tool integration to understand where automation spending is concentrated.