Autonomous Task Agent — End-to-End AI Task Execution

I will build an autonomous task completion agent that handles an end-to-end workflow without human intervention at intermediate steps — covering task decomposition, sequential tool execution, intermediate result evaluation, replanning on failure, and outcome reporting. The value of autonomous task completion comes from eliminating every intermediate human step in a workflow — an agent that requires human review at each step provides less efficiency gain than one that can complete the task and deliver only the final outcome for human review, reserving human attention for the result rather than the process.

The agent covers task decomposition into ordered sub-steps, sequential execution with progress tracking, intermediate result quality checking, replanning when a step fails or produces unexpected results, and a structured completion report.