Using structured interviews, where defined criteria are established for evaluating candidates, leads to more accurate hiring decisions than unstructured interviews.

The structured data agent translates natural language into SQL queries or API calls, while the unstructured data agent processes various documentations and media to derive insights.

With increased internal information availability, we had to establish cultural norms around communication. It's important to manage how discussions happen, as many employees are now more visible in their interactions.

Existing CRM systems often suffer from incomplete data, with implementations only capturing about 40-50% of the necessary information, which hinders effective user workflows.

The document style interface is better suited for complex work, allowing users to provide simple prompts and letting the AI handle the intricate details of execution.

Investing a little more time in crafting your messages can prevent confusion and save time in the long run. Each piece of communication contributes to your overall work quality, so it's worth the effort to make it clear and effective.

Human interaction with agents enhances their memory by providing user interactions that inform future performance, making them more effective over time.

AI can ingest vast amounts of information, which is more powerful for B2B software than just generating content.

The last 10% of detail in a presentation can make a significant difference in how a message is received and understood.