From prompt engineering to agent experience

📰 Dev.to · Danilo Poccia

Learn how to evolve from prompt engineering to designing agent experiences for more effective large language model interactions

intermediate Published 9 Apr 2026
Action Steps
  1. Design an agent experience by defining the goals and tasks you want the agent to perform
  2. Develop a set of prompts that align with the agent's goals and tasks
  3. Test and refine the prompts to ensure they elicit the desired responses from the large language model
  4. Implement a feedback loop to allow users to correct or modify the agent's behavior
  5. Evaluate the effectiveness of the agent experience and make adjustments as needed
Who Needs to Know This

Developers, data scientists, and product managers can benefit from understanding how to design agent experiences to improve user interactions with large language models

Key Insight

💡 Designing agent experiences can lead to more effective and engaging interactions with large language models

Share This
🤖 Evolve from prompt engineering to agent experience design for better LLM interactions! #AI #LLMs

Full Article

Not long ago, the craft of working with large language models was all about the prompt. You'd...
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