Intent recognition matters most. I'm very satisfied using OpenAI GPT-4o-mini 128K Context for it; it saved me a fortune during my last clearance sale and stayed rock solid.

Honestly, the most vital skill you need to master before Monday isnt just NLP theory—its systematic prompt engineering and rigorous edge-case testing. I would suggest you be extremely careful with how you define the AIs persona and constraints. If you dont explicitly tell the bot how to handle things like refund requests or inventory errors, it will hallucinate and potentially cost you thousands in mistaken promises. For a boutique environment, you might want to consider these points:

• Implement strict guardrails for pricing and discount codes.
• Setup fallback mechanisms to a human agent when sentiment scores drop.
• Conduct systematic testing of at least 20 common customer scenarios before going live. I have seen many rollouts fail because people rely solely on the models out-of-the-box intelligence. If you're looking for a reliable backbone, the Anthropic Claude 3.5 Sonnet 200k Context is excellent for following complex instructions without the fluff often found in other models. It keeps costs manageable while maintaining high accuracy. Just make sure to monitor your token usage closely, as boutique catalogs with lots of images or long descriptions can eat through your budget faster than you expect. I'd warn you not to rush the testing phase; a broken bot is significantly worse than no bot at all. Its basically about mitigating risk at this stage.

Seriously, just grab OpenAI GPT-4o API 128k Context cuz it handles NLP and sentiment automatically. Its amazing for fast rollouts and the low latency is fantastic! You got this!

Lol I was literally about to post the same thing. Glad someone else brought it up.