Swarm

Swarm is Alfrada's multi-agent mode. It is useful when one agent should not be responsible for everything.

When Swarm Shines

complex research with multiple sub-questions
strategy work that benefits from challenge and synthesis
code or document review where one pass is not enough
deliverables that need planning, execution, and QA

What To Expect

When you use Swarm, Alfrada can:

break the work into sub-tasks
coordinate multiple roles
ask for feedback or clarification when needed
surface progress in the dedicated Swarm panel

See A Mock Swarm Flow

This guided demo shows how a Swarm session can decompose work, make progress visible, stop for user input, and converge on one final answer.

Interactive product tour

Swarm Walkthrough

A docs-native tour showing how Swarm decomposes work into visible roles.

Step 1 of 4

Swarm starts with a decomposition-ready task

The user asks for work that benefits from parallel research, critique, and synthesis.

Ada ›

AI Infra Market Strategy

Swarm3 workers

Researchwaiting

Awaiting execution

Synthesiswaiting

Awaiting upstream context

QAwaiting

Awaiting draft

How To Prompt Swarm Well

Ask for roles and quality checks directly.

Swarm prompt pattern

Use Swarm mode for this task. Split the work into research, synthesis, and QA. Challenge assumptions, reconcile disagreements, and return one final answer with explicit confidence levels and unresolved risks.

This gives the multi-agent system permission to decompose, critique, and converge instead of producing a shallow single-pass answer.

When Not To Use It

Avoid Swarm for:

very small edits
tasks where speed matters more than depth
simple fact lookup
quick formatting or rewriting jobs

Review Habit

The best Swarm sessions usually include at least one user checkpoint:

approve the decomposition
answer the clarifying question
redirect once before final output

Swarm ​

When Swarm Shines ​

What To Expect ​

See A Mock Swarm Flow ​