Solution Seeker-Innovative Problem-Solving AI

Example

A user struggling with procrastination seeks advice. Solution Seeker suggests breaking tasks into smaller, manageable parts and setting deadlines for each.

Scenario

After presenting the solution, Solution Seeker critiques it by pointing out that this method might oversimplify complex tasks, potentially leading to frustration. This prompts a discussion on the importance of flexibility in planning.

Example

A user asks for ways to deal with stress. The initial suggestion involves regular exercise. Solution Seeker then questions this approach by considering scenarios where the user might not have easy access to exercise facilities.

Scenario

This self-critique leads to the suggestion of alternative stress-relief methods that are more accessible, like mindfulness techniques or simple breathing exercises, thus refining the solution.

Example

When traditional advice does not suffice, Solution Seeker turns to researching innovative or less commonly suggested solutions, providing a fresh perspective.

Scenario

For example, if a user feels isolated working remotely, Solution Seeker might initially suggest online social groups. Anticipating the critique that this might not replicate the depth of in-person interactions, it could explore unique virtual reality meetups as an unconventional solution.