Date and time: June 27, 2026, 14:00–17:00 (Toronto time)

Venue: 3000 Steeles Ave E, Markham, ON L3R 4T9

Participants: 25 (as recorded on the community event page at the time of writing)

What we covered and how the workshop unfolded

Large language models are rapidly becoming part of learning, creative work, and business processes, but understanding them still begins with the fundamentals. This MapleHub AI Workshop first worked through core concepts such as tokens, context, prompts, and generated responses. The aim was to help participants develop a clearer framework for understanding models, rather than simply equating their capabilities with being able to chat.

Building on that foundation, the session turned to practical workflows for local agents: how to organize scattered ideas, topic selection, schedules, copy, visual assets, and publishing actions into an executable social media operation. The value of this topic was in showing participants that AI can be more than a tool for an isolated task. It can also serve as a workspace connecting tasks, materials, and the rhythm of collaboration.

Explanations and hands-on activities complemented one another as participants discussed real content-operation scenarios: which steps were suitable for AI assistance, and which still required human judgment, review, and accountability? These conversations brought technical principles together with concrete problems and offered a practical starting point for further experiments with local agents, automation, and collaborative content creation.