New in Superthread Launched July 2026

AI agents that can actually do the work

Use AI to find answers and automate tasks. Superthread agents work across tasks, pages, projects, forms, and meetings—then return real work your team can review.

  • 60 practical agent jobs to start from
  • 30 min–4 hrs estimated time saved per workflow each week
  • 100+ ways agents can find and change work
  1. 01

    Point it at real work

    Ask from a task, board, page, project, sprint, or space so the agent starts with the right context.

  2. 02

    Give it a repeatable job

    Use a ready workflow such as project health, client updates, intake triage, or backlog cleanup.

  3. 03

    Let events wake it up

    Run it from schedules, comments, forms, new work, or changes to cards.

  4. 04

    Keep control of scope

    Choose where the agent can work and who can run, edit, manage, or inspect it.

The core idea

The work you are looking at comes with you

Open Ask AI while viewing a task, board, page, sprint, project, or space. Superthread attaches that object to the chat, so the agent already knows what you mean.

The same context comes with a custom agent when it starts from a schedule, comment, form submission, or change to the work. It knows what happened and where to act.

Start with a job your team already repeats

Pick a practical agent job, see the prompt and trigger behind it, and compare the estimated time saved with doing the same work manually.

When work changes

Create a first project plan

Turn an approved brief into milestones, tasks, owners, dates, and open questions.

Example prompt

“Turn this approved brief into a first project plan. Create milestones and tasks, suggest owners and dates, and list assumptions for the project manager to review.”

Time saved2–4 hours/week A rough estimate based on the manual work involved. Actual savings will vary by workflow and volume.

When a form is submitted

Build an onboarding plan

Create role-specific reading, setup, introductions, and knowledge checks.

Example prompt

“Build an onboarding plan from this new starter's role and our approved company pages. Create owned tasks for setup, reading, introductions, and first-week outcomes.”

Time saved2–4 hours/week A rough estimate based on the manual work involved. Actual savings will vary by workflow and volume.

When a form is submitted

Triage an internal request

Check context, set useful properties, and route work to the right queue or owner.

Example prompt

“Review this request, identify missing details, set the right priority and tags, and move or assign it to the correct queue or owner.”

Time saved2–4 hours/week A rough estimate based on the manual work involved. Actual savings will vary by workflow and volume.

Browse every agent use case

AI-powered automation

Run agents at the moments work changes

Give the agent a goal, then wake it up from the events that matter. It gets the event and the surrounding Superthread context, not just a webhook payload.

Add a trigger

Configure trigger

On a schedule

Run Sprint Health Monitor automatically on the weekdays and time you choose.

Trigger enabled

The agent can run when this event occurs

Name
Weekday health check
When
Monday–Friday at 09:00
Timezone
London
Trigger set
Example runCompleted
Event

Friday · 09:00

Agent

Checked Project Atlas

Result

3 blockers surfaced

Permissioned by design

Powerful does not mean uncontrolled

Give the agent a workspace role and limit it to the spaces where it should work. Then decide who can run it, improve it, manage it, or inspect other people’s chats.

  • Can use

    Run the agent without changing how it is configured.

  • Can edit

    Improve its instructions and settings as the job evolves.

  • Full access

    Manage the agent, its access, and the spaces where it can work.

  • View all chats

    Control separately who can inspect everyone’s runs, not only their own.

Built on Agent Kit

It can find, change, and return real work

Agent Kit is the capability layer behind the Superthread agent, custom agents, our public CLI, and MCP. It gives AI more than 100 structured ways to work with the system where your team’s knowledge and execution already live.

Find the answer in the work

Search across tasks, pages, projects, boards, forms, comments, sprints, and meetings. Agent Kit resolves ordinary names, so people do not need to know IDs or commands.

Take action, not just notes

Create and update tasks, pages, projects, boards, forms, comments, checklists, sprints, and agents. More than 100 structured actions are available through one capability layer.

Return real Superthread objects

Results come back as native task rows, page tiles, boards, sprints, comments, checklists, and search results that people can open and keep working with.

One request. Real changes.

“Atlas is slipping by two weeks. Move the unfinished work, preserve the gaps between tasks, and show me what changed.”
That request can become a coordinated set of task updates. The result comes back as work you can open, inspect, and keep using.

Use it inside Superthread or connect tools such as Claude and Codex through the CLI and MCP server.

Set up once

Make the agent part of the workflow

The best first agent has a clear job, useful context, and an obvious moment to run.

  1. 01

    Describe the job

    Write clear instructions in ordinary language. Tell the agent what a good result looks like and how you want it to behave.

  2. 02

    Choose its context

    Give it access to the spaces where the relevant projects, tasks, pages, and meeting notes live.

  3. 03

    Choose when it runs

    Use it on demand or connect it to schedules, comments, forms, new work, and property changes.

  4. 04

    Review and improve

    Inspect what it changed, leave feedback where the work lives, and refine the instructions as the job evolves.

Human judgement, carried forward

Agents can help you build better agents

The system agent can create and configure other agents. That makes a deliberate feedback loop possible without removing the human who decides what “good” looks like.

  1. 01

    An agent produces the work

    It creates a task, page, report, plan, or another result inside Superthread.

  2. 02

    A person judges the result

    The reviewer comments on the actual output. The feedback stays attached to the work.

  3. 03

    The system agent carries it forward

    The Superthread agent can pick up that feedback and update the original agent’s instructions for the next run.

Questions about AI agents

  • How are Superthread agents different from a chatbot?
    They can do more than produce text. Agent Kit gives them more than 100 structured actions across tasks, pages, projects, boards, forms, comments, checklists, sprints, members, and agents. Their results can render as native Superthread objects that you can open and continue working with.
  • Can I use Superthread from Claude, ChatGPT, or Codex?
    Yes. Connect Claude, ChatGPT, Codex, and other compatible AI assistants through Superthread’s MCP server, or let coding agents use the Superthread CLI. They can search your workspace and create or update tasks, projects, pages, comments, sprints, and more, subject to your existing Superthread permissions.
  • What is the difference between the Superthread agent and a custom agent?
    The system-level Superthread agent is a general-purpose assistant for finding information and carrying out work across your workspace. Custom agents have a defined job, instructions, access, and triggers, so they can take responsibility for repeatable workflows.
  • What does Ask AI do in Superthread?
    Ask AI opens a chat with the built-in Superthread agent and automatically includes the task, board, page, sprint, project, or space you are viewing as context. You can ask questions about that work or describe an action, such as creating tasks on the current board, moving dates, or updating a page.
  • How can an agent be triggered?
    Start one from chat, @-mention it, run it on a schedule, or trigger it from comments, form submissions, new tasks, pages and boards, and detailed task-property changes such as status, assignee, priority, tags, project, dates, and estimate.
  • Can I control an agent’s access?
    Yes. Choose its workspace role and the spaces where it can work. Give people Can use, Can edit, or Full access, and separately decide whether they may view everyone’s chats or only their own.
  • Can agents create or improve other agents?
    Yes. The system-level Superthread agent can create and configure agents, including their instructions, access, tools, and triggers. You can build a deliberate feedback loop where one agent produces work, a person comments on it, and another agent uses that feedback to improve the original agent’s instructions.
  • Can agents be shared with a team?
    Yes. Share an agent with specific people or make it available to the workspace. Access levels control who can run it, edit it, manage it, or inspect other people’s runs.
  • How can an agency use Superthread agents?
    Agencies can use agents to check project health, prepare client status updates, review new briefs, surface blockers, watch for scope drift, and move work when a client timeline changes. The agent works from the client tasks, documents, decisions, and meetings already held in Superthread.
  • How can an internal service or HR team use Superthread agents?
    Internal teams can use agents to review incoming requests, find missing details, route work, monitor queues, answer questions from workspace knowledge, and follow up when a request stalls. Access can be limited to the private spaces the agent needs.
  • Do small teams need technical skills to create an agent?
    No. Describe the job in ordinary language, choose the spaces the agent can access, and decide whether it runs manually, on a schedule, or when work changes. The general Superthread agent can also help create and configure a custom agent.

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