How to Create Agents That People Actually Want to Use
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How to Create Agents That People Actually Want to Use
Stack Overflow published a blog post on November 18, 2025, exploring the challenges of creating AI agents that users genuinely adopt. The article emphasizes that successful agents require more than just technical proficiency; they must address user needs and preferences.
Why This Matters
Current AI agent development often prioritizes functionality over usability, leading to tools that are technically impressive but fail to gain traction with end-users. This disconnect results in wasted development effort and resources, as agents are built without a clear understanding of how people actually work and what they expect from AI assistance. A poorly adopted agent represents a significant cost, both in terms of initial investment and ongoing maintenance.
Key Insights
- monday.com’s approach: The work management platform integrates AI across its suite to enhance planning and execution.
- User-centric design: Prioritizing user needs and preferences is crucial for AI agent adoption.
- Populist badge: Vilx- was awarded a Stack Overflow badge for answering a generics question, highlighting community expertise.
Practical Applications
- Use Case: monday.com leverages AI to streamline workflows and improve team collaboration.
- Pitfall: Building agents solely based on technical feasibility without considering user experience leads to low adoption rates.
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