For all you AI nerds out there — this one’s for you.
When Club Ichi announced the AI Hackathon, I wanted to see how far I could push AI beyond theory and into practice.
The result? The AI Production Assistant, an intelligent co-pilot built to manage tasks, timelines, and run-of-show details for our September 24th hackathon, which I vibe coded from scratch: ✅ 4,000+ lines of code | ✅ 61 commits | ✅ 57 deployments | ✅ 100% task completion. It started as a wild idea to build a bot that could run a full cue-to-cue of a show… and turned into a production-ready Slack assistant that saved us hours, kept everything synced, and gave the team real-time clarity. This was about testing what AI can really handle under the pressure of live event production. From the wild idea of a bot that could run a cue-to-cue of the entire show, to a production-ready Slack assistant that tracked 30+ tasks, ran gap analysis, automated summaries, and stayed rock-solid through 57 deployments, this is the full journey. Short Reel:Project Overview
- Project Name: AI Hackathon Production Assistant
- Event Date: September 24th, 2025
- Duration: Multi-week development cycle
- Final Status: ✅ 100% SUCCESS – Mission Accomplished
- Repository: GitHub Repo
- Live Application: Heroku App
Development Metrics
Code Statistics
- Total Lines of Code: 4,000+
- Files Created/Modified: 30+ spanning backend, frontend, and integrations
- Core Languages: JavaScript/Node.js, HTML/CSS, JSON
- Key Frameworks: Express.js, Socket.io, Slack Bolt SDK, OpenAI API
Git Repository Stats
- Total Commits: 61 commits (tracked end-to-end)
- Branches: Main branch with continuous deployment
- Contributors: Development team + Claude AI assistance
- Commit Range: From initial concept → celebration completion
Production Deployment Metrics
- Total Deployments: 57 versions released to Heroku
- Platform: Heroku Cloud Platform
- Uptime: 99.9% operational throughout lifecycle
- Zero Downtime: All deployments completed without interruption
- Average Response Time: <2 seconds maintained consistently
️ Technical Architecture
Backend Services (Node.js)src/ ├── index.js # Main Express server (400+ lines) ├── models/ │ └── Task.js # Task model with timeline logic (200+ lines) ├── services/ │ ├── taskManager.js # Core task management (500+ lines) │ ├── smartTaskCreator.js # AI-powered task creation (300+ lines) │ ├── slackBot.js # Slack integration (700+ lines) │ └── dailySummaryService.js # Automated summaries + celebrations (450+ lines) ├── utils/ │ └── logger.js # Winston logging (100+ lines) └── public/ └── index.html # Real-time dashboard (1,300+ lines)- JSON-based persistent storage
- Real-time sync via WebSockets
- Backup systems with Git + Heroku persistence
- OpenAI GPT-4 for task creation
- Slack API with full slash commands
- Heroku cloud hosting & deployments
Feature Development Timeline
Phase 1: Foundation (Commits 1–15)- Express server setup, initial database, basic dashboard
- GPT-4 task parsing, smart suggestions, gap analysis automation
- Slack bot with commands, daily summaries, duplicate prevention
- 7 AM alerts, real-time completion tracking, celebrations, and post-event transitions
Task Management Success
- Total Tasks Managed: 32
- Event Tasks Completed: 30/30 (100%)
- Categories: Tech, Marketing, Content, Logistics, Post-Event
- Critical Path Tasks: 15 identified and completed
- All deadlines met — ahead of schedule
AI & Automation Features
- Natural language → structured task creation
- Smart recommendations and next steps
- Gap analysis for missing elements
- Timeline optimization with risk detection
- Daily summaries (9 AM) and pre-event alerts (7 AM)
- Celebration messages to boost morale
- Duplicate prevention with 80% similarity detection
Slack Integration Metrics
Bot Commands- /hackathon status → overall progress
- /hackathon create [description] → AI task creation
- /hackathon gaps → gap analysis
- /task [description] → quick task creation
- @assistant → general help
- 15+ automated daily summaries
- 3 celebration messages
- Pre-event alerts at 7 AM
- Final success announcements
Deployment History
Version Stage Highlights v1–v10 Early Development Core tasks + basic dashboard v11–v20 Mid Development AI integration, Slack bot foundation v21–v35 Pre-Event Daily summaries, duplicate prevention v36–v45 Event Prep Gap analysis, timeline optimization v46–v52 Event Final 7 AM alerts, final rehearsals v53–v55 Event Day 100% completion, post-event transition v56–v57 Celebration Team congratulations + final success notesSuccess Metrics
Quantitative Achievements- ✅ 100% Task Completion
- 57 Deployments, zero downtime
- 99.9% uptime throughout
- ⚡ <2s response times
- 15+ AI-generated tasks
- 20+ automated Slack messages
- Flawless event execution
- Perfect live stream coordination
- Boosted team morale
- Seamless pre/post event transitions
- Proactive issue prevention
Business Impact
- 50+ hours saved through automation
- Risk reduced via proactive alerts
- Improved team coordination with Slack integration
- Audit trail for all planning + execution activities
Final Celebration
- Team recognition messages sent during event day
- Pre-stream motivation boosts
- Final “Mission Accomplished” announcement
- Open-sourced repo + docs
- Proof of AI-powered event management in practice
- Framework for future hackathons and events
Conclusion
The AI Hackathon Production Assistant delivered:- 4,000+ lines of code
- 61 commits
- 57 deployments with zero downtime
- ✅ 100% task completion
- Automated celebrations + team coordination
The Full Build:
Ready to see what an AI Production Assistant could do for your team? Book me to build it for you — or to teach your team how to vibe code their own practical AI tool. Meet with me to chat about your next event.