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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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S
Otter.ai
B
Raycast AI
S
Ollama
S
TaglineRun any open-source AI model with an API call.Meeting transcription veteran. Cross-platform, team-friendly.Mac launcher + AI. Command-bar genius.Run LLMs locally. One-line install, GUI optional.
CategoryDev PlatformMeetingsProductivityDev Platform
PricingPay per second of computeFree + $17-$30/user/moFree (app) + $10/mo AIFree + open source
Best forDevelopers using open-source models (Flux, SDXL, Whisper, etc).Teams on Windows/PC. Anyone needing cross-platform coverage.Power users on Mac who type a lot.Devs wanting offline/local LLMs for privacy or experimentation.
Strengths
  • Tens of thousands of models (image, video, audio, LLMs)
  • One-line API for any model
  • Cog framework for custom model deploy
  • Joins meetings as a bot (Zoom, Meet, Teams)
  • Team sharing + search across transcripts
  • Live captioning
  • Invoke AI from anywhere on Mac with a hotkey
  • Choose your model (Claude, GPT, etc.)
  • AI Commands for repeatable workflows
  • Run Llama, Mistral, Qwen, etc. on your laptop
  • Simple CLI + API
  • Hardware-aware (picks the right quant)
Weaknesses
  • Cold starts on less-popular models
  • Pricing gets real at scale
  • Bot joining is intrusive
  • UX feels dated
  • Mac-only
  • Monthly AI sub on top of free app
  • Needs beefy laptop for larger models
  • Speed way behind cloud APIs
Kai's verdictS-tier for open-source model APIs. The default in this space.B-tier. Granola is better UX but Otter works everywhere. Pick based on your platform.S-tier if you're on Mac. The fastest way to get AI answers without context-switching.S-tier for local inference. If you care about privacy or want to tinker, install this today.
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