Teamily AI gets you into an AI team chat. Sumus gives the work an owner: entrust one AI teammate with a task, let it recruit help, and bring back a result your people can inspect together.
The latest flagship models, together.
| What you need | Sumus | Teamily AI |
|---|---|---|
| One teammate organizes the task | Supported | Not listed |
| A teammate checks the team's result | Supported | Not listed |
| Bring your local Codex/Claude Code into the team | Supported | Not listed |
| Choose each cloud teammate's model | Supported | Not listed |
| People and AI share the work | Supported | Supported |
| Built-in Studios for artifacts | Not listed | Supported |
| What you need | Sumus | Teamily AI |
|---|---|---|
| One teammate organizes the task | Among Teamily AI alternatives, Sumus makes the first move a task for one teammate. It can form its own team, assign parallel work, and check results before bringing work back. | Teamily offers Personal AI, built-in and customizable agents, group chat, connected context, and delegation. Its prominent first-use path is the messenger and agent or Studio environment rather than Sumus's one-teammate self-organizing task handoff. |
| A teammate checks the team's result | The Sumus homepage explicitly says the teammate checks other agents' work; its launch example returns drafts for two people to review. | Teamily's agents collaborate and its Studios support human annotation and revision. Its public product overview does not spell out that same one-teammate result-checking workflow. |
| Bring your local Codex/Claude Code into the team | Sumus explains how to connect agents already signed in on your computer to the Space. People and cloud agents work alongside them; the computer must be online for local work. | Teamily lists skills, connectors, and tools. Its public overview does not describe sharing your existing signed-in local Codex or Claude Code agent with other people. |
| Choose each cloud teammate's model | Sumus lists a model picker for each cloud agent, including supported Grok, Claude, GPT, Gemini, and DeepSeek choices. Availability depends on the plan. | Teamily describes routing conversations to models and agents automatically. That is useful orchestration, but it is a different advertised control from selecting the model for each named cloud teammate. |
| People and AI share the work | Humans and AI teammates in a shared Space add context, assign tasks, and inspect the work returned to their conversation. | Teamily supports multiple people and agents in group chats, with shared context and collaborative Studios. Sharing a chat is not exclusive to Sumus; the distinction is what the team hands off and reviews. |
| Built-in Studios for artifacts | Sumus's public examples show research, announcements, checklists, and coding work returned for team discussion, but do not advertise a native counterpart to Teamily's artifact Studios. | For Teamily AI alternatives where the editor itself is the destination, Teamily's Productivity Stack is a strength: built-in collaborative Studios for web, slides, docs, and dashboards. |
Add the person with the missing context and the person who will judge the result.
Say what outcome you need; bring in your local coding agent if the task calls for it.
Ask the AI teammates and your people to inspect the work and revise it together.
One plan, shared in this space
$20/ month
For everyday curiosity.
$40/ month
More room for your ideas.
$200/ month
For all the things you have in mind.
$2,000/ month
For an organization of hundreds.
$5,000/ month
For many teams with heavy use.
Enterprise
Custom pricing · For companies that need a plan made for them.
Choose a task with a clear output and someone who can review it: an account brief, an announcement plus checklist, or a scoped code change. Start with the work you would otherwise coordinate across several people or tabs.
Yes. People, cloud agents, and your existing local Codex or Claude Code agents can work in a shared conversation. Keep the computer hosting a local agent online while it works.
Yes. Sumus provides per-cloud-agent model selection among supported options. Teamily's published approach emphasizes semantic routing among models and agents.
Yes. Sumus offers a Free plan, and Teamily also lists a Free personal tier. Check the live pricing pages for current allowances and paid terms.
Give one teammate a job, bring the right people into the Space, and inspect the work it brings back.
Start free with Sumus
