Dart

Most project management tools bolt on AI as a chatbot sidebar. Dart didn't—it rebuilt workflows around AI from the ground up. We're talking natural language that creates tasks, fills properties, generates subtasks, even builds roadmaps. The command center where you type what you want is legitimately fast. The recent v7.11 and v7.12 updates brought in agent integrations (Devin, Nanobot, OpenClaw, Hermes, Manus) and local agent execution. That's a sign they're serious about letting AI do real work, not just suggest. The web search in AI chat is a nice practical touch. When should you pick Dart? If your team actively wants AI to do the grunt work—writing standups, planning sprints, filling custom fields—and you don't mind learning a slightly different rhythm of work. It's especially good for startups and small teams moving fast. When should you pass? If you hate AI suggestions (they're woven into everything), or if you need offline-only mode constantly. Also, the free tier caps at 4 teammates; larger teams on a budget might feel squeezed. The Business plan at $12/user is competitive, but the added agent features are still rolling out. Compared to Linear or Asana: Linear is faster for pure dev workflows; Asana has more templates and mature portfolios. Dart beats both on AI depth, but it's younger and less battle-tested at huge scale. We'd reach for Dart when the team is excited about AI agents. If you just want a clean kanban board, keep it simple. In practice, the MCP server for custom AI/LLM connections is a differentiator—teams can hook in their own models. That's rare in this category. Just know that agent execution is still early access; expect quirks as they flesh out the feature.