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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
Otter.ai
B
DeepSeek
S
Perplexity
S
TaglineCognition Labs' autonomous coding engineer.Meeting transcription veteran. Cross-platform, team-friendly.Chinese open-weight powerhouse. Crazy cheap, genuinely smart.AI search done right. Cited answers, not chat theater.
CategoryAgentsMeetingsChatbotsResearch
Pricing$500/moFree + $17-$30/user/moFree web + ultra-cheap API (~$0.14/M input tokens)Free + $20/mo Pro
Best forEngineering teams offloading tickets. Ops/platform work.Teams on Windows/PC. Anyone needing cross-platform coverage.Developers + cost-conscious builders. Anyone fine with self-hosting.Replacing Google for any question where you want a cited answer in seconds.
Strengths
  • Works like an engineer — takes Slack tasks, opens PRs
  • Handles multi-hour engineering work
  • Reports back with what it did
  • Joins meetings as a bot (Zoom, Meet, Teams)
  • Team sharing + search across transcripts
  • Live captioning
  • Open weights you can self-host
  • Strong reasoning + math
  • Near-free API pricing
  • DeepSeek-V3 / R1 are serious models
  • Sources every claim
  • Fast, current answers
  • Pro Search runs multi-step research
  • Spaces for persistent context
Weaknesses
  • Expensive
  • Best for well-scoped tasks
  • Not for solo hobbyists
  • Bot joining is intrusive
  • UX feels dated
  • Data goes to servers in China — privacy concerns for business use
  • Chinese policy filters
  • English polish trails Western models
  • Not a general chatbot
  • Answers can be shallow on complex topics
Kai's verdictA-tier for the right use case. Not for solo devs. If you manage engineers, try one license.B-tier. Granola is better UX but Otter works everywhere. Pick based on your platform.S-tier for price/performance. A-tier for consumer use. If you build apps, this is the budget pick.S-tier for search. I use it before Google now. If you're still Googling everything, try this for a week.
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