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October AI Project Practice: Building Your First Agent Employee from Scratch

With a few Skills already in hand, how do you organize them into a truly functional Agent? On Saturday, October 31st, I will host another session in Xuhui, Shanghai titled 'From Skill to Agent'

Contributor: Feng Chi2026.10.26
Summary

Review the results before exploring further

You already have several Skills. How do you organize them into a truly functional Agent? On Saturday, October 31st in Shanghai's Xuhui district, I will host another session titled 'From Skill to Agent'. This time, using the same materials as before, we will continue clarifying this path under the theme of 'AI Workbench Efficiency' for this month and walk through it together. I will treat the Agent like an employee you are hiring: first, clearly define what they are responsible for, which Skills they already have running, what tasks they can handle independently, where your approval is required, and then consider how to integrate them, assign tasks, and verify results.

Our Take

Three things to consider about this case

Why it matters
First, run a small, verifiable task, recording the outcome, manual modifications, and maintenance effort.
Who it suits
Suitable for reference by those who already have similar needs and can verify effectiveness through small tasks.
What to check first
The achievements mentioned in the summary belong to the author's self-report; distinguish between revenue and profit, and consider costs, man-hours, and reproduction conditions.
Our Suggestions / Try This
Who it suits
Independent developers and those needing to improve workflows
What to try first
Select a small task with clear boundaries and create a minimum viable version that can be handed over for others to try.
What to measure
Record task completion rate, number of manual corrections, and whether users reuse the service.
Try Related Open Source Projects ↗

What should you ask before trying this?

  • What specific need does this practice solve for you?
  • How should the minimum viable test be accepted, and how much time needs to be invested?
  • Which steps still require human processing and continuous maintenance?
Still deciding? Read our decision guides
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