Assigning tasks to multiple Agents does not necessarily make them faster. What truly affects the outcome is the dependency structure: whether two subtasks can read the same stable input, whether they will modify the same resource at the same time, and whether each can be rerun independently after a failure. Complete a dependency check before choosing parallel, sequential, or hybrid execution.
Step 1: Break the objective into the smallest deliverables
Do not divide the work by role names such as “research,” “writing,” or “operations.” For each subtask, clearly define its input, output, completion criteria, and downstream users. If B must read the result of A, A and B can only run sequentially.
Multiple tasks can usually run in parallel if they only read the same frozen source material and save their outputs separately. If multiple sources are collected independently and then reviewed together, a hybrid model is appropriate.
- Has the input been finalized?
- Can each output be accepted independently?
- Must downstream work wait?
- Can the task be rerun independently after a failure?
Step 2: Check shared resources and side effects
Writing to the same file, database record, or publishing queue can cause overwrites and duplication. Give each branch an independent output location whenever possible, then have a single aggregator write the final result. If writes cannot be isolated, switch to sequential execution or use an explicit lock.
Actions such as publishing, deletion, and payment should occur after aggregation and human confirmation, and they should be completed by a single executor. Multiple branches must not perform them simultaneously.
- Set shared materials to read-only
- Use a unique ID for each branch
- Limit concurrent accounts and API quotas
- Perform the final write only once
Step 3: Standardize the output contract
Require every branch to return the same fields, such as conclusions, evidence URLs, collection times, completion status, and uncertainties. Once the format is standardized, the aggregator can identify missing items, duplicates, and conflicts.
When parallel results conflict, compare their sources, dates, and evaluation criteria. If the evidence is insufficient, mark the item for verification rather than directly combining several outputs into a report that merely appears complete.
- Keep fields and types consistent
- Do not count an empty result as a success
- Retain evidence and timestamps
- Define rules for handling conflicts
Choosing parallel, sequential, or hybrid execution
Choose parallel execution when there are no dependencies and the input is read-only; choose sequential execution when one step produces the input for the next; choose hybrid execution when some branches are independent but require a final unified decision; and prioritize sequential execution when multiple tasks must write to the same resource.
Being logically parallelizable does not mean concurrency should be unlimited. External service rate limits, machine resources, and account restrictions may all require a concurrency cap.
- Parallel: Check multiple independent pages
- Sequential: Generate a report after data collection
- Hybrid: Conduct a unified review after multi-source verification
- Sequential or locked: Update the same publishing checklist
Complete acceptance testing with a failure trial
Start with a trial of two or three low-risk tasks and deliberately make one branch time out. Check whether the other branches still complete, whether the failed branch can be retried independently, whether the aggregation shows missing items, and whether the final action runs only once.
Add more branches only after the small-scale test passes. SmaugBrain can support parallel execution, but task boundaries, permissions, and acceptance criteria must still be defined in advance.
- Every branch has a completion marker
- A failure does not contaminate other outputs
- Rerunning does not create duplicate records
- The final result is traceable
Further reading
To continue reviewing related processes, read Comparison of multi-Agent orchestration patterns and Workflow error recovery methods.
Next step
Start by creating two read-only branches in SmaugBrain. Verify input isolation, the output contract, and failure recovery before expanding parallel execution.