wa-maintain

To diagnose issues in a deployed WhatsApp bot, describe the symptom and current bot state. The system routes you to the appropriate sub-flow for tone, scope, tools, or tokens, guiding you to the smallest effective fix without rushing into code changes.

The best way to fix a live WhatsApp AI agent without downtime is applying a minimal-change philosophy. It prioritizes the smallest, safest adjustment that achieves your goal and only triggers Render redeploys when strictly necessary.

Yes, you need a running Render deployment. The maintenance workflow requires that the initial WhatsApp bot deployment is already completed and the bot is actively running on the Render platform before proceeding with any diagnostics.

To refresh tokens for a live WhatsApp AI agent, the diagnostic router directs you to the specific token sub-flow. This workflow guides you through the minimal, safe adjustment needed to restore connectivity without unnecessary redeploys.

Yes, you can adjust the tone or scope of your deployed WhatsApp bot. The router-based diagnostics ask what you want to change and route you to the appropriate sub-flow, prioritizing minimal adjustments over unnecessary code modifications.

Yes, the WhatsApp bot debugging workflow supports Hebrew prompts. It provides multi-language interaction and guidance in Hebrew while orchestrating cross-tool diagnostic actions and coordinating Render deployment updates.