Autonomous Agent
Definition
An AI system that independently pursues goals by perceiving its environment, making decisions, and taking actions — without requiring human instruction at every step. Autonomy exists on a spectrum: from fully supervised (human approves every action) to fully autonomous (agent operates independently for extended periods). True autonomous agents maintain their own task queue, recover from errors, adapt their strategy based on results, and know when to escalate to humans. The key differentiator from a chatbot: an agent takes actions in the world, not just generates text.
Builder Context
Build autonomy progressively: start with human-in-the-loop on every action, then gradually remove checkpoints as the agent proves reliable on specific action types. The three capabilities that separate a production autonomous agent from a demo: (1) error recovery — can it handle tool failures, unexpected inputs, and ambiguous situations without crashing? (2) self-assessment — does it know when it's stuck, confused, or out of scope? (3) graceful escalation — does it hand off to humans cleanly when it reaches its limits? An autonomous agent that knows its limits is more valuable than one that plows ahead and makes mistakes.