Coordinated AI agents
Coming soonCrewly
Break a business task into roles, let a coordinated crew run the steps, and get one result back — with a history you can audit.
What it is
Crewly for buyers looking at coordinated ai agents.
A single chat thread is a bad project manager. Longer work has roles: someone researches, someone drafts, someone checks the plan against constraints. When a human has to relay context between those steps, the model never sees the whole job and the human becomes the bus.
Crewly is a coordinated AI crew for business tasks. It breaks work into roles, delegates the steps, and brings the result back together. Task history is kept so you can see what happened; reusable outputs and playbooks are how the same kind of job does not have to be re-explained from scratch every time.
Crewly is pre-launch. Join the waitlist at crewly.cleverai.ai. Multi-agent systems that have to run inside your permissions and tools are custom builds — we do that work, and it is not the waitlist page promising a stealth enterprise mode.
Capabilities
What Crewly is built to do.
Multi-agent task execution
More than one agent can work the same job, with roles instead of a single undifferentiated prompt.
Delegation without you as the router
The crew is meant to pass work between roles so a person is not copying context from one chat into the next.
A result brought back together
The output of a run is a completed piece of work, not a folder of disconnected agent transcripts you have to merge by hand.
Task history you can audit
You should be able to see what the crew did. History is an operational record, not a decorative log.
Reusable business playbooks
Repeatable jobs should not require a new prompt novel. Playbooks are how a crew runs the same kind of task again.
Reusable outputs across projects
Work the crew already produced should be available to later tasks instead of disappearing into a one-off run.
Who it is for
Three situations Crewly is meant to change.
01 · Chief of staff running a recurring briefing
The problem
Each week needs research, a draft, and a consistency pass. Doing that in one chat produces a mush; doing it in three chats produces glue work for you.
How Crewly helps
Give the crew the briefing as a playbook: roles for research, drafting, and assembly, with a history you can check before it goes to the rest of the team.
02 · Operator spinning up a new process
The problem
The work is real but not yet worth a full engineering project. You still need something more structured than “ask the model to figure it out.”
How Crewly helps
Describe the roles, run the task, and keep the history. If the process stabilizes, it is a candidate for a playbook — or for a FlowCraft workflow later.
03 · Founder who is the entire research function
The problem
You bounce between search, notes, and a writing model, and you lose the thread of who-said-what when a decision is questioned later.
How Crewly helps
Let a coordinated crew execute the steps and leave an auditable task history, so the result and the path to it are in one place.
It is multiple agents working one business task with roles, rather than a single chat doing every step. Crewly delegates the work and brings a result back, with history you can inspect.
Related products
Other tools in the same portfolio.
Workflow automation
Coming soonFlowCraft
A visual canvas for AI workflows you can test before they touch production systems.
Learn more →Multi-model AI workspace
LiveConverso
Every leading model in one conversation — without tab-switching or lost context.
Learn more →AI chatbot builder
Coming soonBotsmith
A chatbot that answers from your content — and knows when to stop talking and hand off to a person.
Learn more →
On the waitlist