## Overview The mid-2020s represented a transitional phase in AI agent development. Early agents required intensive human supervision through terminal interfaces due to limited memory, slow processing, and error-prone execution—before achieving reliable autonomy. ## Core Framework **Era Characteristics**: - Terminal-based interaction - Limited memory capacity - Slow execution speeds - Frequent errors requiring correction - Continuous human monitoring **Historical Parallel**: Similar to early aviation where pilots constantly adjusted flight controls before autopilot systems matured. ## Cross-Domain Applications **Automation History**: All autonomous systems pass through a phase of intensive human oversight before achieving reliability **Training Methodology**: Current agent training approaches build on lessons from this supervision-heavy era **User Experience Design**: Understanding this history informs interface design for emerging autonomous systems ## References - Source: [[Before the agents became reliably autonomous, we chatted with them...]] - X Post: https://x.com/philogroves/status/2048380085942542395/