Delegate an outcome, not a task
You should not have to run five agents by hand and ferry their output between them. Hand Idam AI a goal, and it plans the work, routes each step to the right agent, and passes context along the way. You get a finished result, not a pile of tasks.
many agents, one result
between every handoff
the plan before it runs
Right now, you are the project manager for your AI
A specialized agent for each job is a great start. But the moment a goal needs more than one of them, the coordination lands on you. You become the routing layer between your own tools.
You are the handoff
Run the feedback analyzer, copy the output, paste it into the PRD writer, copy that, send it for review. The agents never talk to each other, so you carry the work between them.
You hold the whole plan
Which step comes next, what depends on what, what is still missing. A single goal turns into a checklist only you can see, and dropping a step is on you.
Everything runs one at a time
Doing it by hand means doing it in sequence, even when steps could run at once. The work that could take minutes stretches across your afternoon.
A plan you approve, then it runs itself
Give the orchestrator a goal and it lays out the steps, shows you the plan, and waits for your go-ahead. You stay the decision-maker. It handles the coordination.
From goal to done, without the babysitting
The orchestrator reads your shared context and memory before it plans, so the steps fit your product, not a generic template.
- Plans the steps and the order they need to run in
- Routes each step to the agent built for it
- Carries context and output from one step to the next
- Hands you the finished result, not a stack of fragments
Watch a goal become done
One request, four agents, no copy-paste. Each one picks up what the last produced, so the output compounds instead of restarting at every step.
It knows what waits and what runs at once
Some steps depend on each other and have to run in order. Others are independent and can run together. The orchestrator works out which is which, so nothing waits longer than it has to.
Runs in order
When a step needs the one before it
Runs at once
When steps do not depend on each other
Questions about orchestration
What makes orchestration work
Sub-agents
Orchestration coordinates agents toward a goal. Sub-agents go a level deeper, inside a single agent that delegates pieces of its own task in parallel.
Learn more →Shared context
The layer every agent in a workflow reads from, so handoffs carry your product reality instead of starting cold.
Learn more →Memory
What the agents have learned over time, applied across every step so the workflow fits the way you work.
Learn more →AI PRD Writer
A common step in an orchestrated workflow: it turns analyzed feedback into a structured, review-ready PRD.
Learn more →