What do you actually trust AI agents to do repeatedly ??

Reddit r/AI_Agents News

Summary

A discussion exploring the practical, repetitive tasks people delegate to AI agents in daily workflows, focusing on trust, tool access, and real-world utility.

there's a lot of discussion around increasingly capable agents, MCP, skills, tool use, computer use, memory, etc. !!!! But I'm more interested in the boring question: What are you actually letting an agent do every week? For people using agents regularly: what tasks have become genuinely useful enough that you keep doing them? what tools/services do you give your agent access to? What do you still refuse to give it access to? do you prefer agents that operate through your existing tools, or standalone agent apps? Are you using MCP/skills in your daily workflow? If so, what actually made them useful? how much autonomy do you give an agent before requiring approval? what made you stop using an agent/workflow that looked impressive initially? what's one task where you wish your agent had better access to context or tools? One thing I've noticed is that the impressive demos aren't necessarily the workflows people keep using. I'd love to hear about the boring, repetitive, genuinely useful stuff you've ended up delegating. Bonus: if your agent touches cloud infrastructure, what do you let it do there???
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