docs: Define "AI-native DAW" category positioning and product narrative

[ChuxiJ]

Context

From DAW tech stack research, there is a clear gap in the market:

Traditional DAW (Ableton/Bitwig)    AI Tools (Suno/Udio)
    Professional but no AI    ←→    AI but not professional
                         ↓
                    ACE-Step DAW
                 "AI-native DAW"
          Professional DAW + Native AI + Agent-native

No competitor occupies this position:

• Ableton/Bitwig/Logic: Adding AI features as afterthoughts (stem separation, smart tempo)
• Suno/Udio: Building basic DAW features around AI generation (Suno Studio)
• ACE-Step DAW: Built from day one as AI + DAW + Agent-programmable

Our unique combination: VST3 host + WASM DSP + 4 AI models + Strudel live coding + Agent API

Goal

Formalize the "AI-native DAW" category definition and product narrative for marketing, developer docs, and community positioning.

Acceptance Criteria

• Category definition document: what makes a DAW "AI-native" vs "AI-enhanced"
• Competitive positioning matrix (vs Ableton, Bitwig, Suno, Udio, BandLab)
• Key differentiator messaging (3-5 bullet points)
• Developer pitch: why build agents/extensions for ACE-Step
• User pitch: why choose ACE-Step over traditional DAW + AI tool combo
• Landing page copy recommendations

Strategic Context

Timing: Suno Studio is emerging — we must define the category before they do
Audience: Musicians, producers, AI developers, content creators

Part of: DAW Best Practices Research Series