Compare AI tools

	GitHub Copilot B	Perplexity S	Granola S	Devin A
Tagline	Microsoft/GitHub's autocomplete. Deep VS Code + JetBrains integration.	AI search done right. Cited answers, not chat theater.	Meeting notes that don't suck. Runs locally, no bot joins.	Cognition Labs' autonomous coding engineer.
Category	coding	research	meeting	agents
Pricing	Free (limited) + $10/mo Pro + $19/mo Business	Free + $20/mo Pro	Free + $18/mo	$500/mo
Best for	Teams with GitHub already. Devs who don't want to change IDEs.	Replacing Google for any question where you want a cited answer in seconds.	Founders, execs, consultants who live in calls.	Engineering teams offloading tickets. Ops/platform work.
Strengths	Great enterprise story Works in your existing IDE Chat + autocomplete	Sources every claim Fast, current answers Pro Search runs multi-step research Spaces for persistent context	No bot in the call — runs on your Mac Strong templates Fast summaries	Works like an engineer — takes Slack tasks, opens PRs Handles multi-hour engineering work Reports back with what it did
Weaknesses	Less agentic than Cursor/Claude Code Model quality varies	Not a general chatbot Answers can be shallow on complex topics	Mac-only Single-user by design	Expensive Best for well-scoped tasks Not for solo hobbyists
Kai's verdict	B-tier. Solid for autocomplete but the category moved past it. Pick Cursor unless you can't.	S-tier for search. I use it before Google now. If you're still Googling everything, try this for a week.	S-tier. Category-defining UX. If you take notes in meetings, switch this week.	A-tier for the right use case. Not for solo devs. If you manage engineers, try one license.
Link	Open →	Open →	Open →	Open →