One agent, with a team behind it
When a task needs depth, an Idam AI agent spins up focused sub-agents that work in parallel, each handling one angle, then merges what they find into a single clear answer. You get the thoroughness of a team without running the meeting.
depth without the wait
fewer blind spots
see which angle flagged what
A single pass has blind spots
Hard problems need more than one perspective. A lone agent doing everything at once tends to go wide and shallow. The depth you want takes a team, and assembling that team by hand is its own chore.
One pass, one angle
A single model making one pass tends to see what it looks at first. The legal risk, the edge case, the thing engineering will ask about: easy to miss when nobody is assigned to look for it.
Depth costs you prompts
Want a second perspective? You ask again. A third? Ask again. Getting thorough output means running the same task five times with different instructions and stitching the answers yourself.
Thorough means slow
Reviewing a draft from four angles one after another is four times the wait. So you settle for one angle and hope the rest holds up.
Depth on tap, no extra prompts
You ask once. Behind the scenes, the agent fans the work out to specialists and pulls their answers back together. This is depth inside one agent. For coordination across several agents, see multi-agent orchestration.
A team forms around the task, then dissolves
Sub-agents exist for the length of the task and nothing more. They spin up when the work calls for it and wind down once they have reported back, so you get the depth without managing a roster.
- The agent decides when a task needs more than one pass
- It spawns focused sub-agents, each with a single job
- They run at the same time, not one after another
- Their findings merge into one answer you can act on
The helpers an agent can call on
You do not assign these by hand. The agent reaches for the right sub-agents based on what the task needs. Here are the patterns you will see most.
Multi-perspective review
Legal, Technical, Sales, and Design sub-agents check a draft at the same time, each from its own angle. Cross-functional flags without four separate meetings.
Deep research
A question splits across sources, each sub-agent digs into one, and the findings come back synthesized instead of as thirty open tabs.
Ambiguity probe
Each requirement gets examined on its own for vague language, undefined metrics, and missing scope, so gaps surface before engineering does.
Edge-case hunt
Sub-agents pressure-test the work, looking for what breaks: the empty state, the abusive input, the path nobody specified.
Option explorer
Several approaches get drafted and compared in parallel, so you weigh real alternatives instead of the first idea that landed.
Cross-check
Claims get verified against your shared context and connected data, so the output holds up to your own product reality.
Spawn, work, merge
The whole cycle runs under one request. You see a single, thorough answer come back, with the work behind it open to inspection.
Spawn
The agent breaks the task into angles that can be handled on their own, then spins up a focused sub-agent for each one. No setup from you.
Work in parallel
The sub-agents run at the same time, each with a single job and your shared context in hand. Four perspectives take about as long as one.
Merge
Their findings come back together as one answer, with each flag traceable to the sub-agent that raised it. You see the conclusion and the reasoning.
Questions about sub-agents
How sub-agents fit in
Multi-agent orchestration
Sub-agents add depth inside one agent. Orchestration coordinates several agents across a whole workflow toward a goal.
Learn more →Shared context
Every sub-agent works from the same product context, so each angle is grounded in your real product, not a guess.
Learn more →Memory
Sub-agents apply what your agents have learned, so a review reflects the decisions and preferences you have already set.
Learn more →AI PRD Writer
Sub-agents in action: its multi-perspective review checks every PRD from four angles at once before your team sees it.
Learn more →