In this episode of the AI Marketing Navigator, Alex Carlson discusses the latest advancements in agentic AI, focusing on three main tools: Thoughtly, a no-code conversational AI platform for automating phone calls; Cursor, which has introduced an agent feature for coding environments; and a research study demonstrating AI's ability to emulate human behavior with 85% accuracy. The conversation highlights the implications of these technologies for marketing and research, emphasizing the potential for AI to transform data gathering and consumer insights.
Keywords
AI, voice agents, conversational AI, Thoughtly, Cursor, human behavior emulation, marketing, research, agentic AI
Takeaways
- Thoughtly allows users to build conversational AI agents without coding.
- The platform supports A/B testing for optimizing conversation flows.
- AI voice agents can be customized with personality traits and background sounds.
- Cursor's new agent feature enables natural language prompts for coding tasks.
- AI can emulate human behavior with high accuracy based on survey data.
- The study showed AI's potential to reduce bias in responses.
- Synthetic agents can gather valuable research data autonomously.
- AI can simulate focus groups for marketing insights.
- The implications of AI in research extend to social sciences and policymaking.
- Agentic AI is changing the landscape of marketing and business research.
Links
https://thought.ly/
https://thought.ly/blog/unlock-the-power-of-ai-with-thoughtlys-agent-accelerator-program/
https://docs.thought.ly/introduction
https://thought.ly/platform/
https://phonely.ai/top-5-ai-phone-providers-in-2024-expert-review-of-competitors-alternatives-pricing-and-features/
https://elevenlabs.io/blog/thoughtly
https://changelog.cursor.sh/
https://arxiv.org/abs/2411.10109
https://www.youtube.com/watch?v=fzGnyLov7ZU
https://www.youtube.com/watch?v=YK5zfFcacsU&t=1s
https://forum.cursor.com/t/enabling-the-agent-feature/201
https://www.reddit.com/r/cursor/comments/1gylj21/how_to_use_the_new_feature_cursor_composer_agent/
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