True AI acts autonomously. When given a complex command, Coral AI invokes its internal `PlannerAgent` to break it into sequential steps.
Core Architecture
How It Works Under The Hood
The Agentic Multi-Step Execution module is built on a highly optimized C++ and Python bridge. By bypassing standard Windows UI restrictions, Coral AI directly interfaces with system memory, native Win32 APIs, and DOM structures to achieve near-zero latency execution.
Task Decomposition
Breaks a single voice prompt into multiple internal tool calls.
Autonomous Sequencing
Reads a PDF, summarizes it, opens Gmail, and drafts an email in one fluid chain.
Error Handling
If a step fails (e.g. file not found), the agent autonomously searches for the correct path and retries.
Background Execution
Runs Python sub-processes asynchronously so your UI never freezes.
This module does not operate in isolation. It is dynamically invoked by the Coral PlannerAgent via JSON-RPC, allowing it to be chained endlessly with vision and memory modules.