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Compare AI tools

Side-by-side: what they do, what they cost, what Kai actually thinks. Pass up to 4 tools via ?tools=claude,chatgpt,gemini.
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Dev Platform
Audio
Research
Agents
Coding
Chatbots
Image
Video
Voice
Meetings
Design
Productivity
Writing
Data
Marketing
Education
Udio
A
Claude Code
S
Figma AI
A
Aider
A
TaglineSuno's main rival. Often better on instrumental nuance.Anthropic's CLI agent. Opus-powered, operates on your repo directly.AI features baked into the design tool you already use.Terminal-based AI pair programmer. Git-aware, model-flexible.
CategoryAudioCodingDesignCoding
PricingFree + $10-$30/moPart of Claude Pro/Max/Team plansIncluded with Figma plansFree (open source) + whatever API you use
Best forMusicians comparing AI outputs. Anyone who didn't click with Suno.Developers who want an agent, not autocomplete. Large refactors, tests, docs.Designers already on Figma.Developers who want open-source tooling with full control.
Strengths
  • Strong instrumentals + genre fidelity
  • Extend/remix features
  • Good lyric understanding
  • Runs locally, edits your actual files
  • Strong on large codebases with 1M context
  • Great at multi-step tasks
  • First drafts with Make Designs
  • Rename/rearrange layers automatically
  • Natural language asset search
  • Works in any terminal
  • Auto-commits changes with meaningful messages
  • Works with any model (Claude, GPT, local)
  • Minimal learning curve
Weaknesses
  • Same copyright gray zone as Suno
  • Ecosystem smaller
  • Terminal-based — learning curve
  • Can't be used without Claude subscription
  • Features vary by plan + region
  • Still rolling out
  • Terminal-only
  • Less agentic than Claude Code
  • Setup on Windows is fiddly
Kai's verdictA-tier. Genuinely different vibe from Suno — worth trying both for a month.S-tier if you live in the terminal. Different shape than Cursor — complementary, not replacement.A-tier. No reason not to use it if you're on Figma. Not worth switching for.A-tier. The right answer if you want open-source + terminal-native + model-agnostic.
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