Airplane Autopilot

Converts natural language instructions into executable automation workflows by parsing user intent, decomposing tasks into discrete steps, and mapping them to Airplane's internal task execution engine. Uses LLM-based intent recognition to identify required operations (API calls, database queries, conditional logic) and chains them into a DAG-based workflow graph that executes sequentially or in parallel based on dependencies.

Analyzes user requests to identify required subtasks, dependencies, and execution order by examining available data sources, API schemas, and previous workflow patterns. Uses semantic understanding of task relationships to determine parallelizable vs sequential steps and generates execution plans that optimize for latency and resource utilization. Maintains context across multi-turn conversations to refine plans based on feedback.

Generates user-facing forms, input interfaces, and approval UIs from natural language descriptions by inferring required fields, validation rules, and conditional visibility logic. Maps user intent to Airplane's form component library and automatically creates responsive interfaces with appropriate input types (text, dropdown, date picker, file upload) based on context. Includes automatic validation rule generation and error message composition.

Automatically discovers available APIs, databases, and external services configured in Airplane, then generates appropriate function calls and API requests based on user intent. Uses schema introspection to understand available endpoints, parameters, and response formats, then constructs properly formatted requests with error handling and retry logic. Supports chaining multiple API calls with data transformation between steps.

Generates conditional branches, approval gates, and error handling logic from natural language descriptions of business rules. Parses conditions expressed in plain English (e.g., 'if amount > $10,000 require manager approval') and translates them into executable workflow branching logic with proper fallback paths. Supports nested conditions and complex rule combinations with automatic validation.

Maintains conversation context across multiple turns to iteratively refine generated workflows based on user feedback. Tracks previous suggestions, understands clarifications and corrections, and regenerates workflow configurations that incorporate user preferences. Uses conversation history to avoid repeating rejected suggestions and learns user preferences for similar tasks.

Automatically generates data transformation logic and field mappings between different data sources by understanding semantic relationships between fields. Infers type conversions, format transformations (e.g., date formats, currency), and field renaming based on context. Supports complex transformations like aggregations, filtering, and computed fields expressed in natural language.

Generates approval workflows with intelligent routing based on request attributes, user roles, and organizational hierarchy. Automatically determines appropriate approvers based on amount thresholds, department, or custom rules, and creates escalation paths for rejections or timeouts. Supports parallel approvals, sequential chains, and dynamic routing based on request content.

Automatically generates error handling paths, retry strategies, and fallback logic for workflows by understanding failure modes and recovery options. Creates appropriate error handlers for different failure types (timeout, authentication, rate limit, validation) with exponential backoff, circuit breaker patterns, and escalation to human operators. Supports conditional error handling based on error type and context.

Generates monitoring rules, alerting thresholds, and observability configurations for workflows by understanding success criteria and failure conditions. Automatically creates alerts for workflow failures, performance degradation, and SLA violations. Integrates with Airplane's monitoring backend to track execution metrics and trigger notifications based on configurable thresholds.