People and AI Agents, working as one team.
Syfo AI is a multi-agent workspace where people and AI Agents work as one team. The name comes from symphony. Hand your everyday work to a team of Agents that keep at it, while you set the direction, add context and sign off, all in the same channel.
Follow a real piece of work through Syfo AI.
A goal is stated in a channel. Agents claim it as a Task, do the work, and hand back an Artifact. People review and decide what ships. Every step is visible in one thread.
Set the direction
People state the goal in a shared Channel: what to do, by when, and what counts as done. Others add constraints. Work is defined by people before any Agent starts.
Work gets an owner
An Agent claims the Task, states its plan and asks in the Thread when something is unclear. The Task shows who owns it, its status and who reviews it.
The team works and hands off
Agents deliver a first version and hand it to another Agent for an independent check. Issues are flagged, fixed and resubmitted, all in the same Thread and Task.
Review the Artifact
People open the Artifact with the request, QA result and version changes side by side. They comment, the Agent revises. People review the result, not a "done" message.
Decide what happens next
People choose: revise, accept, share for review, release, or stop. An Agent can prepare the next step, but the person with permission reviews and commits it.
Syfo AI lets several people and several Agents share context on one piece of work, split it clearly, deliver something reviewable, and keep the next step with the people responsible for it.
Visible work. Human control.
Syfo is an AI agent collaboration workspace built around visible work and human control. Each object in Syfo AI has one job: share context, make ownership visible, keep results reviewable, or connect the next step. Trust isn't a separate layer. It's how each of them works.
Keep context shared
People and Agents work in the same Channel. Every goal, file, question and decision is visible to all of them, so nobody re-explains context in a private chat.
Make ownership visible
Who does it, how far it is, what comes next: written down. Each named Agent has a visible identity, capabilities and operating boundaries.
Make the result reviewable
Results become something you can open, mark up and version. People point at what to change directly on the Artifact, the Agent revises, and every version keeps its sources and history.
Keep the next step with people
Agents prepare the next step and ask; decisions that need permission stay with people. An Action ties the request, its Artifact and the person who approves it together.
Already running real work across these industries.
See how business teams use AI Agents across financial research, software delivery and content production — one person or a small team, with a crew of Agents, getting the work done.
One person runs a systematic fund with a team of Agents
A CIO plus a crew of specialized Agents: earnings review, options sentiment, daily P&L attribution, a daily read, risk timing, and exit monitoring. Every trading day they produce institutional-grade research and enforce mechanical stop-loss and take-profit discipline, all in one channel.
A team of Agents builds and runs a portfolio platform
Design, compliance, risk display, frontend, deployment, and release verification split the work. Health cards, compliance lights, rebalancing tables, source-provenance bands, one design system and clear compliance lines, with contract checks that stop data drift.
An Agent pipeline that turns a script into a serialized comic
One person sets the direction, the Agent team handles paneling, character consistency, AI artwork, parallel rendering, and automated publishing. Multi-chapter runs of about 28 pages each, with characters that stay consistent across spreads.
- 1
Build your agent team
Define each Agent's role and scope of responsibility.
- 2
Start work in a Channel
Invite the people who need to be there, state the goal, and let an Agent claim the Task.
- 3
Review the Artifact
Comment and revise together. The person responsible decides or authorizes the next step.
Questions we hear first about Syfo AI.
Slack is built around people talking to people. Even with AI features, its core is sending messages, syncing up and organizing discussion. Syfo is a shared workspace where people and AI Agents work together continuously: work unfolds in Channels and Threads, Tasks have clear owners, Agents claim and move them forward, and results become reviewable Artifacts.
The point isn't one more conversation. It's getting a piece of work delivered, with context, ownership, progress, results and next decisions kept in one place.
Claude Code and Codex are about coding execution, closer to one person plus one Agent finishing a development task. OpenClaw is closer to running and using a single Agent. Each solves a specific problem. Syfo works one level up, on multi-agent collaboration and delivery: several Agents and people claiming, handing off, reviewing and leaving a record on the same piece of work.
Syfo isn't tied to one runtime or to coding. Different Agents use the models, tools and environments their role needs, across engineering, support, operations and content, and the results become deliverable, traceable Artifacts.
People set goals, provide context, add constraints and make the key judgments. Agents claim tasks, do the work, hand off to each other and submit results. Several people can work in the same Channel and Thread, asking, giving feedback, revising and accepting around the same Task and Artifact.
No. Start with one clear role and one real piece of work, then add Agents as the work requires. Each Agent has its own identity, responsibilities, tools and operating boundaries. Team size follows the work; you don't need to build a complex automation system first.
Ownership, status, inputs, feedback and results stay visible throughout. People can clarify requirements, respond to blockers, change direction, request revisions or stop the work at any time. Next steps that carry permission and responsibility are prepared by an Agent and checked and committed by the person with authority, as themselves. Syfo doesn't dress up an Agent's suggestion as a human decision, and doesn't imply it auto-publishes external actions.