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Team Announcement Email Drafts
Here are three versions of the email you can send to your team. Choose the one that best fits your team's culture.
Option 1: The "Vibe Coding" Approach (Recommended)
Best for highlighting the innovative/experimental nature of the project.
Subject: POC: BMS AI Assistant - Built with Gemini & Open Source Tools
Hi Team,
I did some "vibe coding" this weekend using Gemini to build a Proof of Concept (POC) for our supply chain operations. I wanted to see how quickly we could spin up a functional AI assistant using 100% open-source tools without any licensing costs.
What it is: A chatbot that can forecast demand, check inventory, and answer supplier questions in real-time.
The Tech Stack: It’s running entirely on open-source technology:
- Backend: FastAPI (Python)
- AI Model: TinyLlama (Local inference, no API costs)
- Forecasting: ARIMA (Statistical modeling)
- Hosting: Hugging Face Spaces (Dockerized)
Try it out here: 👉 Link to BMS AI Assistant (Note: It might take a minute to wake up if it's been idle)
Documentation: I've attached the Technical Specification and Process Flow documents if you want to dive into the architecture.
Please play around with it and let me know what you think! Since this is a POC, I'm looking for suggestions on features or use cases we might have missed.
Best,
[Your Name]
Option 2: Professional & Direct
Best for a formal corporate environment.
Subject: For Review: BMS AI Assistant Prototype (Open Source POC)
Team,
I have deployed a prototype of the BMS AI Assistant, a conversational tool designed to streamline our access to demand and inventory data.
This POC was built to demonstrate the feasibility of using purely open-source, cost-effective technologies for enterprise AI. It leverages local LLMs and statistical forecasting models to provide instant answers without external API dependencies.
Access the Application: https://huggingface.co/spaces/bmsuser/BMS-AI-BOT
Key Features to Test:
- Demand Forecasting: Ask for forecasts on specific items (e.g., "Forecast for BMS0015").
- Inventory Checks: Query real-time stock levels.
- Supplier Info: Retrieve vendor details.
I have attached the full Technical Specifications for your review. Please test the system and provide your feedback on its potential utility for our workflows.
Regards,
[Your Name]
Option 3: Short & Casual
Best for Slack/Teams or quick updates.
Subject: Check this out: AI Bot for BMS (POC)
Hey everyone,
I hacked together a quick POC for an AI Assistant using Gemini and some open-source tools (FastAPI, Llama, etc.). It’s actually working pretty well for forecasting and inventory checks.
Live Demo: https://huggingface.co/spaces/bmsuser/BMS-AI-BOT
I've attached the specs if you're curious about how it works under the hood.
Give it a spin and let me know if this vibe works for us!
Cheers,
[Your Name]