Get started with Kollab

Kollab is a shared AI workspace for work that needs context, files, tools, and follow-up. Use it when the result should be kept, refined, shared, or repeated instead of disappearing inside a one-off chat.

The core model

• Workspace: the team area where members, projects, tasks, connectors, and bots live.
• Task: one unit of AI work. A task keeps the conversation, generated files, tool activity, and follow-up state together.
• Project: reusable context for a topic, client, team workflow, or knowledge base.
• Artifact: a file uploaded to or produced by a task, such as a report, deck, spreadsheet, image, HTML page, or dataset.
• Connector: an approved connection to another tool, such as Notion, GitHub, Figma, Linear, Google Drive, or Slack.
• Skill: a reusable capability that packages instructions, tool choices, and output standards for repeated work.
• Bot: a team-facing agent that can continue Kollab work from a connected channel.

When to use Kollab

Use Kollab when the work needs more than a short answer: researching a topic, drafting a file, reading project knowledge, updating a tool, preparing a report, or scheduling a recurring check. If the work depends on files, team context, or external tools, start a task instead of asking the same question in a disconnected chat.

A good first path

1. Read Write your first task and send a request with a clear outcome.
2. Read Work with files and artifacts before uploading source material or asking for a downloadable result.
3. Read Set up project context when the same type of work will happen again.
4. When Kollab needs to work across team tools, confirm connector access in the app before running the task.

What new users usually miss

Do not treat the first message as a magic prompt. Tell Kollab the outcome, the audience, the source material, the format you expect, and any constraints. If the first answer is close but not finished, continue inside the same task so the context, files, and decisions stay together.