AI-Powered Multi-Protocol Message Generator

[amiable-dev]

AI-Powered Message Generator

Create a message generator tool that produces realistic MIDI and Gamepad input sequences using AI assistance. Supports AI-generated patterns (via MCP), manual message creation, and record-replay for capturing real device input.

Dependencies

Blocked by: #2 (MCP Server for Protocol Specs)

Features

1. AI Generation Mode

Natural language prompts → realistic test sequences

conductor-generator --ai "Generate fighting game combo: quarter-circle forward + punch"
conductor-generator --ai "Simulate 5 seconds of FPS gameplay with WASD + mouse"
conductor-generator --ai "Create drum pattern with velocity dynamics"

2. Manual Mode

CLI flags for precise control

conductor-generator --gamepad --button 128 --duration 100ms
conductor-generator --midi --note 60 --velocity 100

3. Record-Replay

Capture real device input

conductor-generator --record --device "Xbox Controller" --output test.json
conductor-generator --replay test.json

Implementation

• Virtual MIDI/gamepad device creation
• AI integration via MCP (MCP Server for Protocol Specifications and AI Test Generation #2)
• JSON sequence format
• Direct IPC to daemon (bypass virtual device on macOS)
• Pre-generated test library

Timeline: 9-11 hours

Labels

enhancement, testing, ai, v3.1

[amiable-dev]

Strategic Pivot: Enhanced and Incorporated into #5

This issue's core concept has been enhanced and incorporated into the crowdsourced pattern platform (#5).

Superseded by: #5 (Crowdsourced Pattern Platform)

Evolution

Original scope (this issue):

• AI-powered message generator
• Virtual device simulation
• Manual/AI/Record modes

Enhanced scope (#5):

• All features from this issue PLUS:
• Crowdsourced real pattern library
• Cloud-based pattern marketplace
• AI trains on actual human behavior (not synthetic)
• Community-driven test data

What's Being Built

The message generator concept evolves into:

1. conductor-capture (Phase 1): Record real input with consent
2. conductor-generator (Phase 4): Enhanced with cloud pattern search
3. conductor-cloud (Phase 2): Pattern marketplace backend
4. conductor-cloud-web (Phase 5): Web UI for browsing patterns

Why This Is Better

• Real human patterns > synthetic AI patterns
• Network effects (more users = better data)
• Community knowledge sharing
• Training data for AI fine-tuning

Status

This issue is superseded but its core features are enhanced in #5.