Users can click on each tool in the interface to access details about its name and functionality.

Use Claude in conjunction with the Pulse MCP marketplace for optimal workflow structuring.

Tom advocates focusing on tracing methods rather than full evaluations to incrementally understand system behavior before diving deeper.

Cameron Rohn invites listeners to delve into the nuances of authorization by showing the calls made and their implications.

Use available templates to create your own custom tools in this section.

Cameron recommends delving deeper into differences to achieve clarity when comparing technical approaches.

Cameron requests a simplified explanation of MCP functionalities to aid basic understanding.

Revisiting past topics, like advertising speed and effectiveness, serves as an exercise to deepen understanding and uncover new insights.

Leveraging advanced technology to design manufacturing facilities reveals insights into logistics optimization and risk management.

Use coding environments like Unreal Engine and other gaming technologies to create interactive experiences.

Tom proposes encoding video as code so that LLMs—being adept at code—can import, manipulate 3D scene directions, and re-render the content.

Tom stresses that the initial focus should be on establishing a solid UI interaction and a basic generation method as the foundational first step.

Tom introduces a mental model chart that categorizes different memory types into a clear taxonomy.

Cameron discussed the use of Klein’s decision-making framework and its applications in AI memory contexts.

Tom Spencer defines two types of taste—product taste, which relates to preferences, and technical taste, which involves understanding the capabilities...Show more

Tom Spencer explores insights related to queries tagged as research, including a list of parameters to consider.

Queries in the research category require between two to twenty tool calls, as defined by the system.

Considering the concept of a thinking block as a novel approach to structuring thought in AI prompting.

Tom Spencer outlines a structured approach to crafting system prompts by drawing on Anthropic’s research insights.

Highlighting the need to examine how teams build memory engines to understand key design insights and challenges.