Autonomous agents, orchestration frameworks, and the future of AI workflows.
OpenAI's Operator is the most capable consumer browser agent yet. We tested it extensively. Here's what it excels at, where it falls short, and what it tells us about where agents are heading.
Complex tasks require multiple cooperating agents. Here's how leading teams are architecting multi-agent systems, the patterns that work, and the failure modes to avoid.
Anthropic's computer use capability gives Claude direct control of a desktop environment. We analyze the architecture, test the capabilities, and evaluate the safety model.
Both frameworks have matured substantially. We compare their architectures, strengths, and ideal use cases to help teams make an informed choice.
Enterprise AI agents need governance, security, and reliability that consumer showcases don't address. Here's what it actually takes to deploy agents at enterprise scale.
Prompting an agent is fundamentally different from prompting a chatbot. Here are the techniques that work for reliable, long-horizon agent behavior.
Devin, GitHub Copilot Workspace, Cursor, and Claude Code represent different points on the autonomous coding spectrum. Here's an honest assessment.
Memory is the unsolved frontier of agentic AI. We map the types of memory, current implementation approaches, and the research directions defining the next generation.
As agents gain more autonomy and take more consequential actions, the safety and alignment challenges multiply. Here's what the research says and what practitioners should be doing.
