Sharing work with AI
Instead of entrusting all complex tasks to a single AI, understand an agentic structure that divides roles and designs flows of direction and execution, transmission and review.
When a Single AI Takes on Too Much
When you assign too many tasks to the same AI at once, the answers begin to blur at some point.
Ask it to search, analyze, judge, summarize, and even write a report—and it will seem to work smoothly at first. But as the task grows longer, criteria become unclear, conditions set earlier are missed, and the moment comes when it can no longer distinguish what matters.
The problem isn't just that AI is weak.
It's that too many jobs have been pushed into a single role.
When One AI Is Not Enough
The criteria needed for searching are different from those needed for writing.
When analyzing, you must doubt; when summarizing, you must discard. During review, you must be critical; when drafting, you must remain open to possibilities. When these roles mix within a single response, the AI wavers about which criteria to prioritize.
As the context grows longer, that wavering grows stronger. The conditions set initially get buried, and new information that appears midway quietly overrides existing judgments. Even if it seems to perform well at first, consistency is lost when viewing the entire flow.
In complex work, problems often stem not from lack of ability but from the mixing of roles.
What It Means to Divide Roles
Dividing roles doesn't mean attaching multiple AIs to get more answers.
It's closer to making each AI focus on a single criterion. The searching AI concentrates on finding good materials, the analyzing AI focuses on discerning the meaning of materials. The writing AI transforms content into a form readers can understand, and the reviewing AI finds missing criteria and errors.
Searcher — Finds relevant materials
Analyst — Extracts meaning and issues from materials
Writer — Transforms into text suitable for readers
Reviewer — Verifies adherence to criteria
Instead of assigning all work to one AI, it's about clarifying what should be done well at each stage.
What matters here is not the number of AIs. It's the boundary of roles.
The Orchestrating AI and the Executing AI
In complex work, you can divide the role of planning from the role of actually executing.
The orchestrating AI sees the overall goal. It determines the order of progression, what roles are needed, and when results should be reviewed. The executing AI takes on just one of those tasks.
A conductor doesn't play every instrument directly. They coordinate when each instrument should enter.
[ORCHESTRATOR]
Analyzes objectives and determines workflow.
[RETRIEVER]
Finds necessary materials.
[ANALYST]
Organizes meaning and issues in materials.
[WRITER]
Creates the final output.
[REVIEWER]
Verifies adherence to criteria.
Each role handles only the one thing it's responsible for. The orchestrator links that flow together.
In an agentic structure, what matters is not that a single AI becomes smarter on its own, but how the work flow is divided and then comes back together.
What AI Should Hand Over to AI
The most common problem when connecting multiple AIs is handoff.
If the previous AI left a long explanation but the next AI doesn't know what to take over, the flow breaks. The same goes for human collaboration. Just saying "I found some materials" isn't enough. What was found, why it matters, what parts are uncertain, and what the next role should do must be passed along together.
[HANDOFF]
Objective:
- Refine the wording on the Dechive Contact page.
Materials passed:
- The current page has a portfolio-style layout, which conflicts with the library concept.
- The direction should be: introduction of the librarian, managed shelves, and contact methods.
Uncertain points:
- It hasn't been decided whether to include the Works link on Contact.
Next role:
- Writer will create a draft of the page wording based on the above content.
Handoff is not merely transferring results. It's the work of telling the next AI what to look at, what to ignore, and where to continue from.
If this part isn't well designed, the flow keeps breaking even when roles are divided.
Coordination, Not Just Connection
Connecting multiple AIs doesn't automatically make them stronger.
If roles are blurry, confusion multiplies. If the search AI tries to also analyze, the writing AI regenerates evidence, and the reviewing AI adds opinions without criteria, the result becomes even more unstable.
For small tasks, a single AI is better. The moment you divide roles, the costs of handoff and review emerge. This structure makes sense only for work complex enough to justify those costs.
A strong structure doesn't come from the number of AIs. It comes from role boundaries, information being passed along, and review criteria.
Using multiple AIs is not about attaching more brains.
It's about designing what each brain should see and what it should hand over.