CREWAI - AGENTS WRITING EMAILS - Optimizing CrewAI : 1 Crew Vs 3 Crews



AI Summary

Summary: Optimizing Crew AI for Email Template Generation

Background:

  • The goal was to create email templates for prospecting CMOS using a solution for generating ads programmatically.
  • The solution targets direct-to-consumer brands and agencies with high Facebook ad spend.
  • Qi AI, a new framework for orchestrating AI agents, was tested for this purpose.
  • Qi AI is compared to competitors like Autogen and Dev Jet.

Process:

  • The author experimented with Qi AI and received advice from the founder on breaking down tasks.
  • The Qi Discord channel was recommended for its active community and responsive founder.

Experiment:

  • Two approaches were tested: using three separate crews (CS) for different tasks versus one crew with delegation abilities (CP).
  • The tasks involved writing, revising, and critiquing email templates.

First Approach (Three Crews):

  • Crew 1: Write the email.
  • Crew 2: Revise the email.
  • Crew 3: Review and rewrite the email.
  • Each crew had specific roles, goals, and abilities.

Second Approach (One Crew with Delegation):

  • One crew with multiple roles and one detailed task.
  • The direct-to-consumer CMO had delegation abilities to assign tasks to other agents.

Results:

  • The first approach resulted in three separate outputs that did not seem to build on each other effectively.
  • The second approach with delegation appeared more flexible and logical, with agents learning from feedback and adjusting accordingly.

Conclusion:

  • The author prefers the second approach with one crew and delegation abilities.
  • A future video will compare Qi AI with Autogen.
  • Feedback on the video content and format is requested.

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