Discussion on how sending metadata into calls improves flexibility by allowing specific information such as an address or booking details to be referenced during the call.
Example provided of using a web hook with client details like date of birth and claim numbers. To improve clarity, numbers were converted into a more natural format using an advanced prompt.
The metadata is passed into the conversation to prevent confusion and make the call more natural and smooth.
Emphasis on manipulating data from web hooks to provide a rich conversational experience by scraping URLs and generating summaries dynamically.
Clarification on the inconsistency of mid call actions, specifically when scheduling or retrieving data. Performed effectively when using singular actions such as sending a text message.
Troubleshooting discussed for a scenario where a text message link is sent for booking an appointment. The key is allowing the agent to communicate each step calmly to the caller.
Recommendation to let the caller confirm receipt of a text message and, if not received, re-confirm their phone number before resending.
Mid call actions were reported to be intentionally set to focus on completing the action, possibly causing abrupt transitions.
Discussion of challenges when using versions 1 and 1.8 of Thoughtly for booking applications with different calendar providers.
Queries on whether to practice with version 1 until version 1.8 is stabilized. V1.8 has known issues despite efforts to streamline scheduling through fewer interactions.
Announcement of work underway to simplify scheduling into one concise action node to address the complexity and reduce redundant steps in booking workflows.
New Feature Discussions: Prompts and Instruction Templates [00:35:00]
Introduction of using concise prompts instead of extensive script nodes for conversational agents, improving dynamic interaction.
A feature for instructional improvisation allows agents to understand user sentiment and respond more naturally without always following a strict path.
Prompts are discussed using instructions within normal brackets and parentheses to guide the conversation seamlessly.
Debate on the format for instructions, highlighting the importance of clarity for engineering and users.
Clarifications sought regarding workflow automation, particularly with verifying caller details like addresses for tasks such as sending postcards.
Insight shared into the use of forms and text message confirmations to verify user-provided information, ensuring high accuracy despite regional accents.
Exploration of extracting preferred contact numbers to remedy initial communication errors and refining workflow calls with web hooks.
Conversational Intelligence and Response Generation [02:00:00]
Review of external product integrations, including using third-party tools to enhance caller experiences through iPhone messaging and brand-integration.
Suggestions and future plans for applications with high pickup rates due to caller ID display and message color correlation.
Reflection on AI’s perceived trivial features having significant user perception and efficacy impacts.