GrokBot, N8n Webhooks & Measuring AI Token Costs

A hands-on session testing GrokBot as it updates workflow JSON in a repo, deploys to local N8n, and runs image generation with R2 uploads. The host debugs webhook responses that did not match expectations, uses ChatGPT to separate UI output from HTTP responses, and validates fixes with a live prompt. Later segments walk through Cursor Ledgor sets to track upgrade costs, compare bloated vs fresh bot context on simple commands, and audit repetitive tasks like listing skills.