Part 6/12:

To address these challenges, the speakers stressed a holistic, multi-faceted approach:

1. Design Phase

Start with requirements analysis:

• Determine whether the process is sequential or parallel.

• Clarify whether it’s role-based or task-based.

• Decide on the level of autonomy and reasoning needed.

• Choose the right architecture pattern (supervisor-worker, reflection, workflow).

Key considerations include network hierarchy, data flow, and agent interactions. Selecting suitable models—such as GPT variants with high reasoning capability—is vital.

2. Memory Management

Memory architecture underpins system reliability:

• Short-term memory holds recent conversation context (sticky notes analogy).