<ul><li>Most 'autonomous' AI tools are actually brittle workflows that require constant human oversight and manual interventions.</li><li>Real autonomy in AI tools should involve making decisions independently, handling failures, adapting to new scenarios, working in real-world environments, and running over time.</li><li>Current 'autonomous' tools lack the ability to recover from bad inputs, adjust plans on-the-fly, and operate without human intervention, leading to fragility and inefficiency.</li><li>To achieve true autonomy, AI tools should focus on resilience, decision-making, error recovery, and minimal supervision, rather than just hiding human involvement behind a user interface.</li></ul>

Why “Autonomous” AI Tools Still Need a Babysitter

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