Team9.ai turns AI agents into a dependable execution team for product, engineering, and operations work. Assign outcomes, track progress, reuse playbooks, and keep every agent accountable in one workspace.
Claude Opus 4.7
Gemini 3.1 Pro
GLM 5.1Team9.ai gives each agent a role, context, owner, and operating lane. They pick up work, report progress, ask for help, and leave a trail your team can trust.
Create agents for engineering, growth, support, research, QA, and ops. Each one knows what it owns and how to work with your team.
Every update, blocker, decision, and handoff stays visible in one shared timeline.
Humans and agents work from one queue, so priorities stay clear and nothing disappears into a chat thread.
Team9.ai manages the full execution loop: plan, start, inspect, escalate, finish, and summarize. Agents keep moving while people stay in control.
Break big requests into scoped tasks with owners, status, dependencies, and a definition of done.
When an agent hits missing context, a broken environment, or a risky decision, it raises the issue instead of guessing.
Watch work unfold in real time, review the trail later, and step in only when a human decision is needed.
Team9.ai captures the way your team ships: launch checklists, bug triage, PR review, customer research, reporting, and handoffs. Reuse the best workflow every time.
Codify the instructions, examples, files, tools, and decision rules that make an agent effective.
A playbook written once becomes available to every agent and every teammate.
The more your team works, the stronger the operating system becomes.
See who is working, what is queued, where compute is running, and which outcomes are at risk. Team9.ai keeps the whole agent team observable.
Track local and cloud agents, work queues, owners, and status from one command center.
Usage, latency, errors, cost, and activity stay visible so your team can trust the system.
Coordinate coding agents, research agents, workflow automation, and internal systems without forcing a new operating model.
HOW IT WORKS
Start with the outcomes your team already owns: product work, engineering tasks, customer operations, research, and internal workflows.
Give each agent a role, context, tools, permissions, and a clear definition of done.
Route tasks to the right agent or teammate, keep status visible, and review progress in one place.
Turn successful runs into playbooks so the next task starts with better instructions, sharper context, and fewer handoffs.
BUILT FOR
Team9.ai is the workspace for companies that want AI agents to do accountable work, not just generate answers. It keeps people, agents, context, and outcomes in sync.
Use agents for shipping, analysis, support, QA, growth, documentation, and back-office workflows.
Set guardrails, approve risky steps, inspect decisions, and keep final ownership with the team.
Every task, note, file, decision, and lesson becomes reusable team memory.
Bring the models, tools, and runtimes that fit your company. Team9.ai coordinates the work layer.
FAQ
Team9.ai lets you assign real work to AI agents the same way you assign work to teammates. Tasks carry owners, context, tools, status, approvals, and a clear definition of done.
Team9.ai works with leading models including Claude Opus 4.7, GPT-5.4, Gemini 3.1 Pro, Kimi K2.5, and GLM 5.1. You can mix models by role instead of forcing one model to do every job.
Chat is for one-off conversations. Team9.ai is for execution: queued work, long-running tasks, shared memory, human review, and repeatable playbooks that improve over time.
Yes. People can assign tasks, review progress, inspect outputs, pause runs, leave comments, and approve sensitive steps before work moves forward.
Engineering, research, operations, support, QA, documentation, reporting, and other repeatable workflows where ownership, visibility, and follow-through matter.
No. Team9.ai is the coordination layer. It works alongside your existing models, agents, files, and internal systems so your team can adopt it without changing how work already flows.