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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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Devin
A
Hume AI
A
Rows
A
Otter.ai
B
TaglineCognition Labs' autonomous coding engineer.Voice AI that reads + expresses emotion.Spreadsheets with AI + live integrations baked in.Meeting transcription veteran. Cross-platform, team-friendly.
CategoryAgentsVoiceDataMeetings
Pricing$500/moFree tier + pay-as-you-goFree + $19-$89/user/moFree + $17-$30/user/mo
Best forEngineering teams offloading tickets. Ops/platform work.Therapy apps, customer service, any voice agent where emotion matters.Ops teams, marketers, anyone building dashboards from multiple sources.Teams on Windows/PC. Anyone needing cross-platform coverage.
Strengths
  • Works like an engineer — takes Slack tasks, opens PRs
  • Handles multi-hour engineering work
  • Reports back with what it did
  • Detects + mirrors emotional tone
  • EVI (Empathic Voice Interface) feels different
  • Expressive voice output
  • Pull live data from Stripe, Slack, Google Analytics, etc.
  • AI functions inside cells
  • Modern UX
  • Joins meetings as a bot (Zoom, Meet, Teams)
  • Team sharing + search across transcripts
  • Live captioning
Weaknesses
  • Expensive
  • Best for well-scoped tasks
  • Not for solo hobbyists
  • Niche use case
  • Pricing ramps fast
  • Not a full Excel replacement for heavy users
  • Integrations best on paid tiers
  • Bot joining is intrusive
  • UX feels dated
Kai's verdictA-tier for the right use case. Not for solo devs. If you manage engineers, try one license.A-tier in its niche. The only one that actually gets emotion right.A-tier. The most interesting spreadsheet in years. Great for ops dashboards.B-tier. Granola is better UX but Otter works everywhere. Pick based on your platform.
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