User Deploys AI Assistant 'Elvis' on VPS for Project Management Tasks

A developer has shared their experience deploying an AI assistant named 'Elvis' on a Linux VPS, with integration into their existing workflow tools. The setup process took three days of troubleshooting with Claude before becoming operational.
Setup and Integration Details
The assistant runs on a Linux VPS and communicates through Microsoft Teams. It has been configured with several connectors:
- JIRA integration
- Asana integration
- Access to its own email account
- Read access to the user's email (though it accidentally sent an email as the user, requiring permission adjustments)
Practical Workflow Example
The user treated Elvis like a colleague and assigned it a complete project management task:
- Read an email containing requirements
- Extract those requirements
- Locate the last change request for Customer X on OneDrive
- Update the change request with new requirements
- Send to Keith for review
- Incorporate Keith's feedback
- Notify the user when ready for final sending
The assistant successfully completed this workflow, though initial formatting issues required correction. It's now actively conversing with Keith via email and updating documents based on feedback.
AI Model Strategy
The user has implemented a tiered AI approach:
- Claude for complex tasks
- OpenAI for less demanding work
- A basic model for mundane tasks
This strategy aims to optimize costs while maintaining performance for different task types.
Current and Planned Use
Elvis is currently handling project coordination tasks, and the user plans to use it for application testing and UAT (User Acceptance Testing) in the near future.
📖 Read the full source: r/openclaw
👀 See Also

Claude AI Used to Set Up Proxmox Home Server via SSH
A developer used Claude AI over SSH to configure a Proxmox VE 9.1 home server, performing tasks from drive formatting and ZFS pool creation to Docker deployment and security hardening.

Building a Fantasy Baseball Analytics App with Claude Code: A Law Student's Experience
A law student with a 2017 CS degree built Ball Knower, a fantasy baseball analytics iOS app, using Claude Code for implementation while handling all product and domain decisions. The app features 1,313 MLB player profiles, daily streaming pitcher picks, and dynasty rankings, with a backend running 30 cron jobs pulling from 9 data sources.

Building a Voice Assistant with OpenClaw, Alexa, and Local LLM
A developer built a voice-first assistant using OpenClaw as the AI agent backbone, Alexa for voice input, and a local LLM (Ollama with Qwen 2.5 3B) to handle general knowledge queries with sub-second response times and reduced API costs.

Jetson Orin Nano Super: The $20/Year OpenClaw Server
Community member shares their ultra-low-power OpenClaw setup running 24/7 on NVIDIA hardware for just $20/year in electricity.