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Last updated June 26, 2025

Task Breakdown Strategy

Task Complexity Assessment

Before designing your automation workflow, evaluate the complexity and scope of your task. This assessment determines whether you need a single agent or a coordinated multi-agent approach across your integrated apps.

TLDR: Break complex workflows into smaller, focused tasks.
Use single agents for simple linear processes and multiple agents
for complex workflows with parallel steps or different expertise areas

Single Agent Scenarios

Use a single agent when your workflow follows a linear path with consistent data processing requirements.

Ideal Single Agent Tasks

  • Calendar analysis → Google Sheets report generation

  • Notion database updates → Slack notifications

  • Email processing → CRM data entry

  • Document formatting → File organization

Single Agent Characteristics

  • Sequential steps with no parallel processing

  • Similar data handling throughout the workflow

  • Completion time under 10 minutes

  • No conditional branching based on intermediate results

Multi-Agent Scenarios

Deploy multiple agents when your workflow involves parallel processing, different expertise domains, or conditional logic that branches based on intermediate results.

Multi-Agent Triggers

  • Parallel data processing across different platforms

  • Different specialized skills needed (analytics vs communication vs data entry)

  • Conditional workflows based on data analysis results

  • Time-sensitive tasks that can run simultaneously

Example Multi-Agent Workflow

Project Status Report Generation:

  • Agent 1: Collects calendar data and calculates time spent. Dump into Google Sheet.

  • Agent 2: Analyzes Notion project databases for progress metrics. Dump into Google Sheet.

  • Agent 3: Pulls budget data from Google Sheets and calculates variance. Dump into same Google Sheet.

  • Agent 4: Compiles all data into formatted report and distributes

Task Size Optimization

Right-size your tasks to balance efficiency with reliability. Tasks that are too large become difficult to debug, while tasks that are too small create unnecessary overhead.

Optimal Task Characteristics

  • Complete within 2-8 minutes execution time

  • Have clear success/failure criteria

  • Can be retried independently if they fail

Breaking Down Large Tasks

  • Identify natural breakpoints in your workflow

  • Separate data collection from data processing

  • Create intermediate checkpoints for validation, e.g. in Spreadsheets