What Makes a Project Tool Truly Agent-Native?

When building AI products, we’re starting to move beyond the idea of AI as just an assistant.

Agents can research, write code, run tests, analyze results, and handle parts of a workflow autonomously.

That makes me wonder what an agent-native Linear alternative should actually look like.

Instead of adding AI features to a traditional project-management tool, what if the workflow itself was designed around humans and AI agents working together?

That’s what I find interesting about Sharkly.ai. The focus is on making AI agents active participants in project work rather than keeping them outside the team’s workflow.

For teams building with agents:

What would you consider essential in an agent-native project-management tool?

For me, the key things would be shared context, clear task ownership, human oversight, and the ability for agents to hand work off without losing progress.