Dates: Oct. 15, 29, Nov. 12, Jan. 21, Feb. 4, Feb. 18
Duration: 75 minutes
Time: 4:30-5:45 Colombian time 

The series below is built around a single thread: your AI as a coworker. Each session builds on the framework and gives participants a new skill for collaborating with AI more effectively — understanding who they're working with, communicating clearly, delegating wisely, and ultimately defining the kind of working relationship that serves their students and their practice.
Each session builds on the last for participants who join the full series, and stands on its own for those who drop in on one or two that meet their current moment.
 

Session 1: Meet Your New Coworker
Participants explore and compare AI models, building a clear mental model of how these tools actually work — what they're designed to do, where they excel, and why different tools suit different purposes. They leave with the language to explain AI confidently to students and colleagues, and a framework for evaluating any AI collaborator they encounter now or in the future.
Core idea: You can't collaborate effectively with someone you don't understand — knowing your AI coworker's strengths and limitations is where great teamwork begins.

Session 2: Onboard Your Coworker
Teachers build a reusable "context document" that gives any AI model a working understanding of their classroom, students, standards, and priorities — just as you'd brief a new colleague before they hit the ground running. They leave with a transferable understanding of why context is everything when working with AI, a principle that applies to every tool, in every subject, at every grade level.
Core idea: The quality of any working relationship depends on how well each party understands the other's context.

Session 3: Communicate Clearly
Educators learn to prompt their AI coworker to explain its reasoning, surface its assumptions, and refine its outputs — turning prompting from a guessing game into a structured thinking process. They leave with a transferable approach to clear, purposeful communication with any AI system — a skill that deepens with every conversation.
Core idea: Clear, precise communication is the foundation of any productive working relationship — human or AI.

Session 4: Delegate Wisely
Teachers use AI to generate first-pass feedback, then develop the judgment to know when to trust it, when to refine it, and how to use it as a springboard for richer student conversations. The session builds the skill of smart delegation — using your AI coworker's strengths to free up your energy for the personal relationship building that makes feedback meaningful.
Core idea: Good collaboration means knowing whose strengths serve the task — the teacher remains the architect of learning.

Session 5: Coach Your Students to Collaborate Too
Educators design learning experiences that help students analyse AI outputs for accuracy, bias, and gaps — turning the tools their students are already using into teachable moments for critical thinking. Teachers leave with a reusable framework for helping students become discerning, confident AI collaborators in their own right.
Core idea: AI collaboration is a learnable skill — and teachers are uniquely positioned to model and teach it.

Session 6: Define the Relationship
Participants synthesise the series into a personal professional framework — a clear set of principles for how, when, and why they choose to collaborate with AI in their practice — leaving with the grounded clarity to navigate whatever comes next: new tools, new policies, new pressures. This is where the series arrives.
Core idea: How you define your relationship with technology is a statement of your values as an educator.
 

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