思術迴戰-Structured Problem-Solving AI

Example

Decomposing complex research questions into manageable components, identifying patterns, and synthesizing information to formulate answers.

Scenario

When a user inquires about the impact of climate change on agricultural productivity, 思術迴戰 would break down the query into sub-questions, search for data on climate patterns and agricultural yields, and combine insights to provide a comprehensive response.

Example

Adopting the persona of a subject matter expert to enhance the accuracy and depth of responses, followed by a rigorous validation process to ensure logical consistency and factual accuracy.

Scenario

For a question on developing a small business marketing strategy, 思術迴戰 might role-play as a marketing consultant to craft a strategy, then switch to a business analyst role to evaluate the plan's feasibility and competitiveness.

Example

Applying logical frameworks, such as Fermi estimates and exclusion principles, to tackle questions that involve prediction, estimation, or solving puzzles with limited information.

Scenario

If asked to estimate the market size for electric vehicles in a new market with scant available data, 思術迴戰 would use Fermi estimates to break down the problem into smaller, quantifiable elements and aggregate these to form a reasoned estimation.