Live webinars with practical takeaways you can apply the same week

This session focuses on building a repeatable loop: input, constrained output, error logging, and spaced repetition. You will learn how to write a simple rubric that prevents “I skimmed it” from being mistaken for mastery, and how to use AI tools as a tutor without outsourcing the thinking.

Practice task: draft a one-week plan with two checkpoints and a review schedule. We will show a template and how to keep it lightweight enough to actually follow.

A practical clinic on output constraints. We cover prompt selection, timeboxing, and how to use a short error tag system (pronunciation, verb forms, collocations) so correction becomes drillable instead of overwhelming.

Practice task: record a 90-second response to a fixed prompt, then apply a three-tag correction method. This mirrors how our language cohorts run weekly checkpoints.

Tone accuracy improves faster when practice is narrow and measurable. We will use minimal pairs and short sentence frames to reduce cognitive load, then add a correction routine you can repeat. The goal is not “perfect tones in one night” but a reliable feedback loop.

Practice task: a small minimal-pairs set with a self-check method and a short repetition schedule (spaced repetition over a few days).

A step-by-step walkthrough of a small script that renames files, extracts simple data, and outputs a clean CSV. We focus on I/O, basic error handling, and a “test-first checklist” that keeps scripts from becoming brittle.

Practice task: adapt the script to your own folder structure using a parameterized input, then run a controlled test. This matches the capstone style used in short intensives.