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Class 4KRNM · Workshop Archive · ran Oct 2026

AI agents at work.

When a task needs an agent — and how to make it reliable.

You already know roughly what an AI agent is. This class is about when you actually need one, and how to make it reliable: working through messy information, repeating a weekly job, and remembering what matters. This run has ended — the page stays as the record.

The record
RanTue 6 Oct 2026 · 19:30–22:00
WhereKwun Tong · WeMine Office, MG Tower
Attended0 attended
Taught byTaught by Horris Tse
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What we covered
19:30

Chatbot, workflow or agent

A short refresher on models and tools, then where the lines between the three really fall.

19:47

Where it runs

Grok Bot, Hermes, Claude Cowork and Muse compared; cloud or local; steering a task from your phone.

20:00

The case: failure and repair

One realistic case, done three ways — and fixing what goes wrong.

20:28

Break

Seven minutes.

20:35

Recurring work, memory and context

Handing a regular job to an agent; making sure it remembers what matters; keeping the context window in check.

21:05

Several agents, one owner

When to split work between agents, and how to give each one a clear job.

21:17

Jev: quick decisions

Where Jev fits, what it can save, and its trade-offs.

21:40

Your work, and questions

Pairs sketch one recurring job of their own; open discussion.

What attendees said
Horris is highly experienced in the field. He presents complicated and abstract AI concepts in a simple, accessible way, using plenty of live examples. With his guidance, I've already started exploring different business ideas using the agent I built, and I highly recommend this course.
Michelle W. · Multi-Family Officeattended: OpenClaw Hands-On Workshop · 20 Apr 2026
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