---
title: "Keep class and student notes so AI sequences fit the people in the room"
description: "Record student modifications, past sequences, workshop results, and schedule patterns so Claude plans classes that build on what you taught before."
canonical: "https://scalewithsearch.com/articles/ai-for-yoga-instructors"
date: "2026-01-28"
modified: "2026-09-25"
---
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# Keep class and student notes so AI sequences fit the people in the room.

You plan class sequences, track student modifications, design workshops, and manage a schedule. A fresh ChatGPT chat starts without any of your student notes or sequence preferences.

A set of plain-text files changes that. Your class profiles, student notes, sequence log, and workshop history sit in a folder that Claude reads before it plans. It knows which students need knee modifications, which sequences worked for beginners last month, and which workshop topics your community asks for.

## Why class planning needs a record

You teach a Monday evening class of regulars with specific needs. One student has a shoulder limitation. Another cannot do inversions. A third works on hip mobility.

You ask ChatGPT to plan tonight's sequence. It gives you a generic flow, and you filter out the poses that will not work for your students. Next Monday, you ask again. A fresh chat has no record of those students or of what you taught last week.

So you explain the context every time. The assistant cannot build on earlier sequences. It does not know your teaching style, your studio's props, or the seasonal themes you follow.

## Set up the files

Claude Code reads `CLAUDE.md` from the folder where you start it. Use it for your standing rules, and name the other files:

```text
## Teaching practice
style:: vinyasa and slow flow; alignment cues first, then breath cues
props:: blocks, straps, bolsters (12 of each); no wall space in studio B
rule:: offer modifications within yoga practice; no medical advice
files:: classes.md, students.md, sequences.md, workshops.md, schedule.md
```

Class profiles. Each recurring class gets an entry: day, time, length, level, and usual attendance. For example, Tuesday morning is a 60-minute beginner class, and three regulars have wrist sensitivity.

Student notes. Limitations, goals, and progress for students who agreed to share them. First names or initials only.

Sequence log. Each class you teach: the theme, the peak pose, what flowed, where students struggled, and which transitions worked.

Workshop history. Past outlines, attendance, and feedback.

Schedule patterns. Which class times fill fastest, seasonal attendance, and substitute availability.

## Plan around the students in the room

A synthetic entry in `students.md`:

```text
## M. (Monday evening regular)
limitation:: right shoulder; avoids full weight on the right arm
modifications_that_work:: forearm plank, knees-down chaturanga, puppy pose
goal:: return to full sun salutations by spring
last_update:: 2026-09-21 (student reported less pain in plank)
consent:: agreed to notes on 2026-06-02
```

You plan a vinyasa flow for Monday. Claude reads the class profile and the notes for the regulars. It suggests a modification at each point where a regular needs one. You no longer run a mental filter over every pose, and nobody's need gets forgotten.

A student returns after months away. You check the notes, and Claude drafts a re-entry sequence from that student's history and past limitations.

A worked request: "Plan Tuesday's 60-minute beginner class with a hip opener theme." Claude reads the Tuesday profile, sees the three students with wrist sensitivity, and checks the sequence log. The draft replaces weight-bearing wrist poses with forearm variations. Where it keeps a wrist pose, it puts blocks under the hands. It ends with a supported bridge on a block.

## Check a plan before you teach it

A draft plan is a proposal. Read it against the files before class, with five checks:

- Each regular's limitation has a modification at every pose that needs one.
- The peak pose builds on a pose from the last two weeks in the log.
- Every prop in the plan exists in the studio you teach in.
- The timings add up to the class length, with time for the final rest.
- The cues match your recorded teaching style.

A plan that fails a check goes back with one instruction, such as "Replace the headstand prep; M. avoids inversions." If the same failure repeats, the rule belongs in a file, not in another instruction. Add it to the student note or to `CLAUDE.md`, and the next plan starts with it. Keep a tally of failed checks for a month. The tally shows which file needs the most work.

## Build each sequence on the last one

Log every sequence you teach. Note what flowed well, where students struggled, and which transitions worked.

You want to teach hip openers this week. Claude sees in the log that you taught hip flexor stretches two weeks ago. It suggests poses that build on that base instead of a repeat.

You plan a four-week progressive series. Claude reads weeks one and two in the log. Week three then builds on what the students practiced, not on a plan you drifted from.

## Plan workshops from past results

Record each workshop's outline, attendance, and participant feedback. Claude reads all of it when you plan a new one.

Last fall you ran a restorative workshop. You recorded what resonated and what fell flat. Now you plan a spring workshop, and Claude suggests themes from what worked, adjusted for the season.

You also track which topics draw the most interest. Claude then recommends topics from recorded demand, not from a guess.

## Use the schedule record

Your `schedule.md` file holds the patterns: which slots fill fastest, how attendance changes by season, and which substitutes can cover which classes.

You need a summer schedule. Claude reads last summer's attendance and the slots that stayed full, and it proposes a schedule from your studio's own pattern. Export attendance from your booking system each month so the numbers stay current.

You plan a retreat. Claude reads your past retreat notes: logistics that worked, logistics that did not, participant preferences, and the price level that sold out. You start from your own history.

## Keep your teaching voice consistent

Record your teaching approach: how you cue transitions, where you stand between strict alignment and intuitive movement, and the terms you prefer.

You ask Claude to draft a class description. It writes in your voice, because the file says how you describe your teaching. You ask for a new sequence theme, and the options fit your approach. For marketing copy, keep stable voice rules apart from current facts such as dates and prices. [Brand memory for content work](/articles/ai-brand-memory-content-creation) shows that split.

## Treat injury notes as health information

A note about a student's shoulder or back is health information. Handle it with care:

1. Ask each student before you record anything about an injury, and note the consent date.
2. Record what the student told you and the modification that works. Do not record diagnoses you were not given.
3. Keep full names, phone numbers, and medical documents out of the files.
4. When a student describes pain or a new injury, refer them to a healthcare provider.

The files stay on your computer, but Claude Code sends the text it reads to Anthropic's servers during a session. Retention and training terms depend on your plan. The [minimum-necessary test for personal data](/articles/client-data-in-ai-agent-memory) helps you decide what each note needs.

## Set up the files in under an hour

1. Set up Claude Code, which needs a paid Claude plan or an Anthropic API account.
2. Create a folder you can open in Obsidian, which is free to download.
3. Write `CLAUDE.md` with your style, props, and standing rules.
4. Add class profiles for each recurring class.
5. Add notes for students who consent.
6. Start the sequence log with this week's classes.

After each class, add three lines: what worked, what did not, and any new modification. Claude reads the relevant files every time you plan. [What context an agent should read](/articles/what-context-should-an-agent-read) explains how to keep each request to the files it needs.

When a plan suggests a pose a student cannot do, fix the student note, not the chat. The [correction then reaches every later plan](/articles/corrections-become-system-memory).

----

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```
