How to Design Agentic Products

How to Design Agentic Products

TLDR: Agentic products are a different product category, not a feature. How an agent fails is more important to user trust than how it succeeds. Most teams building with agents are repeating the chatbot-era mistake of wrapping technology in thin UX and calling it done.

Summary:

The teams I see struggling most with agents are the ones who scoped the project as "add an AI feature." That framing guarantees a certain kind of product: one where the agent does something impressive in a demo and something confusing in production. The article from TheCircuit puts a name to what is going wrong, and it is useful.

The core argument is that an agent needs a job to be done, not just capabilities. An agent that "can do anything" is actually harder to ship than one that owns a single workflow from start to finish. I have seen this play out. The broader the capability surface, the harder it is to tell users what to expect, the harder it is to build trust, and the harder it is to know when the thing is working. Narrow scope is not a limitation, it is a design decision.

The part I found most clarifying was the reframing of the user relationship. In traditional software, users control steps. In agentic software, users control intent and verify outcomes. That sounds like a small shift but it requires rethinking almost every UX pattern you know. How does a user specify what they want? How do they know the agent is on track? How do they course-correct without micromanaging? These are hard design problems and most agent UIs I have used have not solved them.

Failure modes as product personality is the framing I am taking with me. Every agent will fail. The question is whether the failure teaches the user something or just breaks their trust. An agent that fails loudly, explains what it tried, and gives the user a clean recovery path is a product people will keep using. An agent that silently produces wrong output is a product people will stop trusting after the third incident.

The human-in-the-loop discussion is also worth reading carefully. The article is clear that it is not about how automated something should be, it is about identifying the specific decision points where a human needs to be in control. That is a much more useful question to bring into a product sprint than "should we add a confirmation dialog."

Key takeaways:

• Agents need a narrow, well-defined task scope. Broad capability surfaces make trust and UX harder, not easier
• The user relationship with agentic products is fundamentally different: users control intent and verify outcomes, not individual steps
• How an agent fails and recovers defines the product experience more than the happy path does

Why do I care: I have been in enough product reviews where someone says "we should make it agentic" without being able to answer what job the agent owns, who verifies its output, or what happens when it is wrong. This framework gives me sharper questions to ask before a team goes deep on agent infrastructure. The failure-modes-as-personality framing is also something I will use when reviewing agentic feature proposals. If you cannot describe how the agent fails gracefully, you have not finished designing it.

How to Design Agentic Products