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Webflow

Agent Instructions in action — Webflow lesson

플랫폼
YouTube
길이
3:40
사용 언어
영어(미국)
조회수
1.4천
컷 간격 중앙값
4.37s
얼굴 노출
20%
어두운 프레임
34%
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Agent Instructions in action — Webflow lesson 자막 전문

브랜드가 작성한 것이 아니라, 영상의 오디오를 음성 모델이 받아쓴 것입니다. 아무 줄이나 클릭하면 그 순간으로 이동합니다.

  1. 0:00Agent instructions give your agent context about your site, how your team builds, what your brand
  2. 0:05sounds like, which components to use, and which standards to follow. Once they're set up, an agent
  3. 0:10connected through MCP, like Claude, Cursor, or another supported agent can read those instructions
  4. 0:16and use them while it works. In this video, we'll see how those instructions shape a real task,
  5. 0:23what the agent does with them during a session, and how to troubleshoot a result when it doesn't
  6. 0:29quite match what we expected.
  7. 0:30Now, we already have a few instructions in place.
  8. 0:33There's a class naming rule that applies
  9. 0:35whenever the agent creates new classes.
  10. 0:37And there's a design system skill that tells the agent
  11. 0:41how to work with our components and variables.
  12. 0:43Let's put those instructions to work.
  13. 0:45We'll open the session with our agent, Claude,
  14. 0:48and give it a realistic task.
  15. 0:50On the homepage, add a feature section
  16. 0:52with three features below the hero.
  17. 0:55Use our existing design system components and variables
  18. 0:58and use placeholder copy for the headings and descriptions.
  19. 1:02This is normal specific prompt.
  20. 1:04We're telling the agent what to build and where to build it,
  21. 1:08while our instructions handle the component choices,
  22. 1:10variables, implementation details, and class naming.
  23. 1:14That's shaping a real task.
  24. 1:16Let's look at what an agent does with them during a session.
  25. 1:19Before the agent builds anything, it calls the guide tool,
  26. 1:22which prompts it to our stored instructions.
  27. 1:25instructions.
  28. 1:25The agent then reads our instructions and builds the section.
  29. 1:29It uses the Feature Card component, selects the correct variants, and names the classes
  30. 1:35according to our rule.
  31. 1:37And all of that happens without us repeating those requirements in the prompt.
  32. 1:40And the important thing here is that the agent isn't making those decisions by guessing.
  33. 1:45It reads our instructions at the start of the session and uses them alongside the prompt
  34. 1:49to decide how it should work.
  35. 1:52That's the value of agent instructions.
  36. 1:53They help the agent make better decisions without us repeating the same context every time.
  37. 1:59Now, one thing to keep in mind, the agent may not always load our instructions automatically.
  38. 2:05The guide tool is designed to encourage that, but different agents can handle it differently.
  39. 2:10This is a great example.
  40. 2:12Claude's results don't really reflect the standards in this instance.
  41. 2:15Maybe it uses the wrong component, ignores a naming convention, or writes copy that doesn't
  42. 2:21sound like our brand.
  43. 2:22It's definitely worth taking a closer look.
  44. 2:25We can start by asking the agent directly.
  45. 2:28Claude, did you use my agent instructions for this task?
  46. 2:32If it didn't, we can ask it to reload them and try again.
  47. 2:35And we can always proactively ask the agent to use them in future prompts.
  48. 2:40If we keep running into these issues, we can go back to the instruction itself, make the
  49. 2:45guidance more specific, point to the exact resource, or add an example.
  50. 2:50But even with solid guidance, the agent may still give us a different result.
  51. 2:54That's just part of working with AI.
  52. 2:56You can also help to ask the agent what it found on the site.
  53. 2:59If a component was renamed, a variable changed, or there are several similar patterns to choose from,
  54. 3:06the instruction may be accurate but out of date, or the site itself may be giving the agent mixed
  55. 3:12signals. The best agent instructions aren't written once and then left alone.
  56. 3:15When the agent makes a choice we wouldn't have made, we can use that as feedback and
  57. 3:20improve the instructions over time.
  58. 3:21The agent can be a partner in this.
  59. 3:23OK, we saw how agent instructions shape a real task, how the agent uses them during
  60. 3:28a session, and what to check when the result doesn't match what we expected.
  61. 3:33And that's agent instructions in action in Webflow.
61줄 · 639단어

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