I helped a 300-person company deploy agents. A few more lessons learned
Summary
The article shares practical lessons learned from assisting a 300-person company in deploying AI agents, highlighting challenges and takeaways for enterprise agent implementation.
Similar Articles
@alexxubyte: Salesforce deployed 20,000 enterprise AI agents. The biggest lesson? The work is inverted! Traditional software → 90% o…
Salesforce deployed 20,000 enterprise AI agents, revealing that the majority of effort comes after launch, not before. John Kucera, CPO of Agentforce, shares lessons on what separates successful agents from those that stall.
I run a company with 89 AI agents across 22 departments. Here is what I have learned about multi-agent coordination.
A CEO shares practical lessons from running a company with 89 AI agents across 22 departments, highlighting delegation as the bottleneck, the value of agent memory, the need for department structure, and the continued importance of human leadership.
Lessons Learned from Building Cloud Agents (12 minute read)
Cursor shares key lessons from building cloud agents, emphasizing that providing a full development environment is critical for agent output quality, and that long-running agents require durable execution and enterprise-like infrastructure.
Put AI to work: Lessons from hundreds of successful deployments
OpenAI hosted a webinar sharing lessons and insights from hundreds of successful AI deployments in production environments, offering practical guidance for organizations implementing AI solutions.
Has anyone deployed a multi-agent AI employee in production?
A discussion about deploying multi-agent AI systems in production, where different agents handle planning, execution, communication, and project management, asking about real-world experiences and bottlenecks.