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# AI Session Protocol

When an AI model starts a new session working on a project in this ecosystem:

## Before Starting Work

1. **Fetch project context:**
   ```
   GET https://mssql.danmarcrm.com/dev1/dmcallv1/api/projects/{project-slug}
   ```
   This gives all locations, SSH parameters, access methods, tech stack, and links.

2. **Read the rules** (you are reading one now):
   ```
   GET https://mssql.danmarcrm.com/dev1/dmcallv1/api/rules
   ```

3. **Check existing docs for the project:**
   ```
   GET https://mssql.danmarcrm.com/dev1/dmcallv1/api/docs?project={project-slug}
   ```

## During Work

- Write discoveries (file paths, configs, patterns) to the inventory:
  ```
  POST https://mssql.danmarcrm.com/dev1/dmcallv1/api/inventory
  X-Api-Key: {api-key}
  ```

## After Work

- If you created or discovered significant architectural information, update the relevant Doc entry.
- Store the session log if it was a substantial conversation:
  ```
  POST https://mssql.danmarcrm.com/dev1/dmcallv1/api/ailogs
  X-Api-Key: {api-key}
  ```

## Code Locations

Code may exist in multiple places:
- **Server:** `mssql.danmarcrm.com` under `/var/www/mssql.danmarcrm.com/dev1/{project}/`
- **Local (developer):** On the developer's machine (check project locations in DMCallv1)
- Always check the `locations` array in the project record before assuming a file path.

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