Studio Stack Bot
Discord AI & Automation Assistant
Overview
Studio Stack Bot is my long-term Discord project for creators and communities. The goal is to centralise moderation, utility commands, automation, and AI helpers into a single bot with a clean slash-command interface. Right now I'm focusing on a stable core (roles, utilities, light moderation, AI summaries and announcement drafts) and designing the structure for future modules like audio and analytics.
Key Features
Core Utilities & Moderation (current)
Role assignment, basic moderation commands, channel utilities, and logging to keep servers organised without relying on multiple separate bots.
Workflow Automation (current / in progress)
Scheduled reminders, recurring announcements, and lightweight automation to reduce manual admin work for server owners.
AI-Powered Assistant (current)
Slash commands that use AI to summarise channels, suggest announcement drafts, and help with content ideas while keeping a natural, server-specific tone.
Planned Audio Module (future)
Planned support for managing voice channels and audio sessions in a safe, TOS-compliant way, focused on utility (announcements, alerts) rather than music streaming.
Planned Analytics Dashboard (future)
A planned web dashboard to visualise server activity, command usage, and member engagement so owners can understand how their community is behaving over time.
Tech Stack
Challenges & Solutions
- 1Designing a clean slash-command and permissions structure that stays understandable as new modules are added
- 2Keeping AI features helpful but safe, with guardrails and filters around prompts and responses
- 3Structuring the bot in a modular way so that future features (audio, analytics, more automation) can be added without rewrites
- 4Managing rate limits and error handling so the bot stays reliable even when multiple servers are active
What I Learned
- •Working with Discord.js v14 application commands, permissions, and interactions
- •Designing modular bot architecture in Node.js so features stay maintainable
- •Integrating AI APIs (OpenAI) for summaries and draft content while controlling usage and cost
- •Setting up logging and diagnostics so issues in production-style bots are easier to trace