01
Set the team's goal and the first task
Define the project's purpose and its first task. Code and service connections are introduced when that task needs them.
The AI your team shares
From everyone's own AI,
to one AI-native team.
An AI your team uses together, that remembers the team's context and works as part of the team. When a conversation ends, the project's context and progress stay with the team.
- 15 days free after approval
- LLM credits included
- No payment details to start
Closed beta · Access granted after approval
Team workspaceExample workflow
Customer portalOperations
Decision needed
Login errors investigated
The latest deployment may be related. Review the proposed change and verification plan before applying it to production.
Observed evidence
New events were found in the connected error issue.
Hypothesis and change proposal
Compared deployment history. Causality is not established.
Decide the next action
Review the change scope and check criteria before proceeding.
Still unverified
The complete user login flow. Passing configured checks is separate from overall service health.
Works with the tools you already use
From chat and code to deployment and error tracking
- GitHub
- Vercel
- Supabase
- Sentry
- Slack
- Telegram
- Discord
- Cloudflare
HOW IT WORKS
Set the team's direction, then check in together.
Start with one task in one project. Work happens within the priorities and scope your team sets, and reports with evidence arrive in your team channel.
Product02
Set the scope and who decides
Choose what to investigate, what changes to prepare, where to report and who approves. Natural-language guidance and actual tool permissions are checked separately.
03
Decide as a team from the same evidence
What was confirmed and what is still unknown stays in one record the whole team sees. Results and context carry into the next task.
BUILT FOR TEAMS
Not one person's tool, an AI that belongs to the team.
So the team can use it together, build up context and work in the direction it sets. From runtime to work history, organized around the team.
01
An Agent that belongs to the team
It belongs to the team, not a personal account. Manage permissions, cost and history per team, and connect as many repositories and infrastructure resources as you need.
web-app
Team workspace
client-api
Team workspace
02
It keeps doing what the team set
Tasks run on a schedule, on service events or when a teammate asks. Start with the check you repeat every day.
Scheduled task
Morning error check
Every day · 09:00
03
Anyone can ask, the right people decide
Any teammate can request work in the channel; approvals come from the people you designate. Check how a task starts and what tool access it really has, separately.
Task execution mode
NotifyApprovalAutomatic
04
Context stays when people change
Work history and the knowledge base build up in the team. When the owner changes, nobody has to explain the project from scratch.
Team context
Task historyKnowledge base
BEFORE / AFTER
From each person checking, to the team deciding together.
When everyone uses their own AI, context scatters across their own conversations. Your team's Agent gathers the checking in one place and leaves only the decisions, with evidence, for the team.
Today
Everyone re-explains the same project to their own AI, every time.
Each person opens alerts, logs and deploy history to cross-check them.
Someone repeats the same morning check every day.
What was checked scatters across personal chats and never reaches the team.
With your team's Agent
One Agent that remembers the team's context keeps following the project.
The team reads one report in its channel that separates facts, hypotheses and unknowns.
Recurring checks are registered as scheduled tasks and handed over once.
Results and context stay in the team's memory and carry on when owners change.
FAQ
A few things before you start
How is this different from a personal AI tool?
With a personal AI tool, context lives only in that person's conversations. A DoItNow Agent belongs to the team, with its own runtime and project memory, and picks up any teammate's request in the same context. It also runs scheduled and event-triggered tasks.
Can I connect an existing project?
Yes. Connect a GitHub repository or start from a template. Add project context by connecting services such as GitHub, Vercel, Supabase, and Sentry.
Does everything run automatically?
Each task has a start policy. Natural-language scope is working guidance, not a permission engine that blocks every action. Review supported tool access and production approval boundaries.
Can I use it right away?
We're in closed beta and approve sign-ups in order. Once approved, you get one Agent for 15 days with LLM credits included.
Closed beta · Access granted after approval
Hand your team's first task over.
Start with one check you keep repeating. Move from everyone's own AI to your team's AI.
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