What does an agent actually need from your app to do one useful thing
Summary
The post explores what AI agents actually need from applications to accomplish useful tasks, asking developers to share their workflows and where integrations break down.
Similar Articles
Where do AI agents actually fit into your workflow?
The article investigates the practical integration of AI agents into daily workflows through questions about their roles, human intervention, and impact.
Are we all building AI agents nobody actually needs?
A discussion on whether the AI agents being built are genuinely useful or just demos, questioning if a killer app for agents exists.
For those building AI agents: what would you actually want an agent to do for you?
The author, working in conversational AI and AI agents, asks builders and users what specific tasks they would want an AI agent to handle in their businesses, emphasizing the value of agents that excel at solving single painful problems.
How to create an ai agent that actually does something useful, not just a demo?
The article discusses the gap between impressive AI agent demos and real-world deployment, focusing on practical challenges in business processes like sales ops, and calls for production case studies.
Where AI agents actually break in real workflows (not demos)
A discussion on where AI agents fail in real workflows, highlighting issues with coordination, reliability under messy inputs, and the challenge of reducing human intervention in production.