Should agents make recommendations based on the workflow rather than the product category?
Summary
This article discusses whether AI agents should base recommendations on workflow analysis rather than product category, emphasizing that users' true needs are workflow outcomes.
Similar Articles
What is one AI agent workflow that businesses should automate before anything else?
The article discusses which AI agent workflows businesses should automate first, seeking recommendations from real-world experiences and identifying potentially overrated automations.
Are we calling too many workflows “agents”?
The author questions whether many so-called AI agents are better described as workflows, arguing that for repeatable browser tasks, defined workflows may be more reliable than agents that reinterpret steps each time.
Everyone is selling AI agents, but almost nobody is selling the workflows to make them useful.
The article argues that while many are building and selling AI agents, the real value lies in the workflows and training that make them useful, not the underlying technology.
Agent recommendations
This article discusses recommendation systems powered by AI agents.
Is “AI employee” becoming a real product category?
The article examines the trend of companies positioning their products as 'AI employees' or role-based agents (e.g., AI SDRs, support agents), questioning whether this is a genuine product category or just marketing hype, and noting that it resonates most in workflows with clear ROI.