Autonomous AI Loops: Moving Beyond Prompting to Self-Optimising AI Agents

2026-07-22 · Industry Analysis

This presentation explores a new approach to AI automation centred on autonomous iteration rather than traditional prompting. Inspired by Andrej Karpathy’s concept of “Auto Research”, the framework enables AI agents to work continuously towards a defined objective, evaluating and refining their own outputs until predetermined success criteria are met. Instead of relying on repeated human prompts, organisations define the goal, performance metrics and operational boundaries, allowing AI agents to optimise solutions autonomously. The approach represents an important step towards long-running, agentic workflows capable of solving increasingly complex business problems.