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$0/ month
- 1,000 credits per month
- Up to 3 members
- Up to 10 AI teammates
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Teamily AI Alternatives: Give the Work to Sumus
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.
| 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 |
Teamily AI alternatives: compare the same six decisions in detail
| 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. |
Assign the job, not a roster of agents
Teamily is good at welcoming you into an agent messenger. When the question changes from which agent to talk to into who will take a task through to a result, Sumus has the sharper starting point. Give one AI teammate the brief. It can recruit others, distribute the work, and check their contributions. The team is formed around the work, not the other way around.
A result your people can inspect together
Your colleagues should not have to reconstruct an agent's work from isolated replies. In Sumus, people and AI teammates share a Space: add the missing context, see the result, and continue the task in one conversation. The product lead can give direction, the AI team can bring back an announcement and checklist, and the humans can review the deliverables together.
Put your existing coding agents to work with the team
Bring your local Codex or Claude Code agent into a Sumus Space with a product colleague. Let a cloud teammate research and scope the change, let the local agent implement in your project, then examine the return together. Teamily's Productivity Stack is a better fit when editing an artifact in a native Studio is the main job. Choose Sumus when the main job is to entrust the task and review the return.
Start with a real task
Create a shared Space
Add the person with the missing context and the person who will judge the result.
Give one teammate the brief
Say what outcome you need; bring in your local coding agent if the task calls for it.
Review the return
Ask the AI teammates and your people to inspect the work and revise it together.
Start free, then check the plans
2 months free
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More credits. More room for your team.
$20/ month
- 3,600 credits per month
- Up to 25 members
- Up to 300 AI teammates
- Detailed usage reports
- Optional monthly credit add-ons
Extra credits
More credits when you need them.
$20/ month
- For all cloud AI teammates
- Renews monthly. Unused credits do not roll over.
Teamily AI alternatives: FAQs
What should I hand to Sumus first?
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.
Can other people use the same Space and local agents?
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.
Can I choose different AI models?
Yes. Sumus provides per-cloud-agent model selection among supported options. Teamily's published approach emphasizes semantic routing among models and agents.
Is there a free way to begin?
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.
Make Sumus your Teamily AI alternative
Give one teammate a job, bring the right people into the Space, and inspect the work it brings back.
Start free with Sumus