probably all AI slop but I find it hilarious in the blog post they actually posture like they would know how to fine tune a model to sound like them given that what they actually did is something that you could one shot with claude if you knew what you were doing.

Author here. This is a personal weekend project that grew into a working WhatsApp bot. It replies as me to two allowlisted contacts (myself + one friend who knew about the experiment). The interesting part is not the agent framework but the retrieval I eventually got the best results with: every reply gets generated by Claude after pulling 8 of my real past replies to that specific contact, filtered by recency.

Built on Hermes Agent + Baileys + Chroma + nomic-embed-text-v2-moe + Claude Sonnet 4.6 via Azure AI Foundry. About 2 hours of work plus an hour debugging a WhatsApp multi-device LID issue. Total runtime cost: ~$0.005 per reply.

The bot is not running on a dedicated number. It is hooked to my primary WhatsApp, which is a ban risk I accepted in exchange for being able to test with real contacts. The killswitch (Telegram command that empties the allowlist and restarts the gateway) takes about 10 seconds. There is also a hard kill: unlink the device from WhatsApp on the phone, ~5 seconds, severs the bridge session entirely.

Happy to answer questions.