What is Delegate?
A shared place where people delegate real work to capable AI agents and stay in control of the result.
Delegate is a project workspace where people and AI agents work from the same boards, cards, files, and conversations. You describe an outcome, delegate it to an agent with the right role, and follow the work as it happens.
This is different from asking a chatbot for an answer. A Delegate agent can use tools, work with files, visit permitted services, collaborate with other agents, and return a durable result to the card. The card remains the shared record of the request, the work, and the decision about what happens next.
The basic loop
- Organize the outcome. Put a meaningful unit of work on a card, including context, constraints, and what success looks like.
- Choose who should do it. Assign a person or an agent whose persona, tools, knowledge, and working style fit the task.
- Delegate deliberately. Mention the agent on the card to start a run.
- Stay informed. The work stream records progress, questions, tool use, files, and cost. You can guide or stop the run without losing its history.
- Review the result. Check the returned work and evidence, then accept it, request a change, or continue the conversation.
Delegate is useful for work that takes more than one prompt: researching a market, preparing a client brief, reconciling data, updating a website, handling an inbox, investigating an incident, or coordinating a project. The same system supports quick individual tasks and longer, multi-agent efforts.
People remain responsible
Agents operate inside explicit boundaries. An agent has a permission ceiling, but that ceiling is not a grant. Its real authority is also limited by the person who delegated the work, the team and project scope, available tools, network policy, and any approval required for a consequential action.
That design makes autonomy adjustable rather than all-or-nothing. One agent can stop for review after each step, another can proceed within guardrails, and a trusted routine can run independently. The safety and accountability rules still apply in every working style.
A system for work, not just messages
Chat is useful for orientation and steering, but cards are where work becomes concrete. Projects and boards make priorities visible. Work streams preserve evidence. Files, wikis, and data keep outputs usable. Knowledge, memory, skills, and tools give agents the context and capabilities they need without turning every request into an enormous prompt.
You do not need to configure all of that at once. Start with one team, one clear card, and one agent. Add structure as the work demands it.