Hey everyone, would love your opinion. Next month, I'm speaking in front of 800 people in Thailand about AI tools and what they should be learning to get ahead - find side hustles etc, specially in relation marketing tools as part of the day's workshop will also be about marketing and advertising (more my personal expertise). The audience are older - 35+ years, largely women, with little experience in technology but who are hungry to learn and find new ways of making money online and to learn about how to use AI in ways likely not yet seen in Thaliand. Other than prompt engineering, going over a broad view of different tools, and upcoming changes and trends in AI, what do you think I should focus on specifically in my speech? Any ideas?

Hello Everyone, I just want to showcase, how I made an AI voice Agent that transfers the call to different agents depending on the language that the caller is more comfortable with. I have made a full video on it but can't post videos here due to community rules, So I will try to write every step here. For this method, you would need Vapi to use GPT 4o which is excellent in other languages. For my use case, I made a Vapi Squad with 3 agents, a transient English-speaking agent, and two permanent agents for Hindi and French, so if someone is more confortable in hindi, the call will transfered to the agent which speaks perfect hindi. Each agent will have the ability to transfer to the other two languages, creating an interconnected system. Setting Up the Squad: - Squad: The "squad" is the top-level container for your group of assistants. It's important because it allows you to organize multiple assistants into a cohesive unit that can work together to handle complex workflows or multilingual support. - Members: The "members" array within the squad is crucial as it defines the individual assistants that make up your squad. - AssistantDestinations: The "assistantDestinations" array is perhaps the most important part of the squad configuration. It defines the possible transfers between assistants, allowing for seamless handoffs based on language needs or specific tasks. By specifying conditions for transfers in the "description" field, you can create context-aware switches between assistants. You can define multiple destinations for each assistant, allowing for complex workflows where an assistant can transfer to different specialists based on the conversation's direction. Task Specialization: Beyond language, this feature allows you to create task-specific assistants and define how they should interact, enabling more efficient handling of complex queries. The combination of these elements - squad, members, and assistantDestinations - creates a powerful system for handling multi-step, multilingual, or multi-task conversations.

Hey, so far it looks like the ai call agents are great for US based businesses. Does anyone have suggestions for outside US? and Other than English too btw?

FULL WRITE UP ON SOLUTIONS INCLUDING TOOLS NEEDED TO BUILD: https://docs.google.com/document/d/19GN94MKSBkE_9EknovH2Z7r9aOw8JqoV6yacKWlHoto/edit?usp=sharing --- In this video, I cover the six top AI marketing offers that are currently making waves in our community. I've got real proof from agency owners who are successfully selling these services right now. I break down each offer, showing you exactly what's working and how you can implement these strategies to see real results within your own agency. Liam 💪🏼