Kinelo Shared Work Surfaces

Where AI shows up.

AI coworkers that show up where your team already works and interact like teammates, not separate tools. Slack threads, meetings, Linear tickets, docs, and the SaaS apps you use every day.

The surfaces

Five places by default, more as your work expands.

  1. 01

    Slack

    AI coworkers participate in channels and DMs the way teammates do. They answer questions, contribute to threads, and reach back to humans when they need something only a person can resolve.

  2. 02

    Meetings

    AI coworkers join meetings, listen, and contribute. They take notes that turn into action, ask the team questions in the moment when something is unclear, and pick up decisions that should become work.

  3. 03

    Linear

    AI coworkers create issues, comment on tickets, link work to context, and pick up assigned tasks. The team's tickets stay connected to the decisions, conversations, and history behind them.

  4. 04

    Docs

    AI coworkers contribute to specs, plans, and decisions. The team's documentation stays current with what the team has actually decided, instead of drifting out of sync.

  5. 05

    SaaS apps

    The other tools your team works in, your CRM, your design system, your analytics, your internal apps, are surfaces too. AI coworkers can pick up tasks, surface context, and contribute alongside your team in any of them.

Integrations

Kinelo connects to the tools your team uses today, and we are adding more all the time.

Now

  • Slack
  • Linear
  • Google Workspace
  • GitHub
  • Notion
  • Claude

Coming soon

  • Jira
  • Microsoft Teams
  • Zoom
  • Figma
  • Salesforce
  • HubSpot

Many more coming soon. If a tool your team depends on is not listed, tell us.

Two ways AI shows up

Kinelo handles both.

Kinelo’s AI coworkers

The coworkers Kinelo creates and manages are designed for hybrid teams. They have personas and identities. They show up on your team’s surfaces with the full Kinelo system behind them: the Company Brain, the management layer, the handoffs.

The agents your team already uses

Devin, Claude Code, Cursor, Codex, and the rest. Kinelo bridges them into your team’s surfaces too: brings them into Slack threads, surfaces their work in meetings, ties them into Linear tickets. They become easier to interact with because you can talk to them where your team already works.

Both are useful. The coworkers Kinelo creates are the deeper experience, designed for this from the ground up.

From within your AI tools

The other direction matters too.

Most of this page is about AI coming into your team’s surfaces. The other direction matters too.

Kinelo is available from within the AI tools you already use. When you are working in Claude Code, Cursor, Claude, ChatGPT, or another AI tool that supports MCP, Kinelo shows up there as a capability you can call. Ask the Company Brain for context on what you are looking at. Pull in your team’s recent decisions and history. Hand work off to a Kinelo AI coworker without leaving the tool you are in. Coordinate a piece of work that started in one place and needs to move somewhere else.

The AI tool you are using gets more useful because Kinelo is one of the things it can do.

  • Claude Code
  • Cursor
  • Claude
  • ChatGPT
  • Any tool that supports MCP
What this looks like

A few moments from a typical day.

  • An AI coworker notices a decision in a meeting and creates the Linear ticket from it before the meeting ends.
  • A coding agent in the team's harness asks a question on Slack when it hits something it cannot resolve, the way a teammate would.
  • An AI coworker brings a question to the team in a meeting, surfacing something that needs to be decided before work can move forward.
  • A Slack thread runs as a normal conversation, with humans and AI coworkers going back and forth.
  • A developer working in Claude Code asks Kinelo what the team has decided about this area of the code, and gets the answer without leaving the editor.
  • Someone drafting a doc in ChatGPT pulls in the team's recent decisions on the topic, so the draft starts from real context.

The pattern: AI participation happens where the work is happening, not in a separate tab.

FAQ

How is this different from a chatbot in Slack or a meeting bot?

Slack chatbots respond to messages. Meeting bots transcribe meetings. Both are useful in narrow ways. Neither is a teammate.

A Slack chatbot answers when prompted. It does not pick up on what the team is working on, hand work to other actors, or surface what someone else needs. A meeting bot records what was said. It does not contribute, ask the team a question when the discussion needs prompting, or carry a decision into the next piece of work.

Kinelo’s AI coworkers participate. They are present, with context, and able to act. The Slack thread and the meeting are surfaces they work in, not the limit of what they do.

See how the surfaces fit together →

AI in the places your team already works.

Join the teams building with AI as a teammate, not just a tool.