Most 'AI agents' today are more smoke and mirrors than true autonomy - just smart software with well-placed LLM calls. In this candid talk, we distill lessons from building with top founders to uncover what it really takes to ship LLM-powered products that actually work in production.
The consistency across models from different providers suggests this is not a quirk of any particular company's approach but a sign of a more fundamental risk from agentic large language models.
Autonomous agents have swiftly transformed from theoretical concepts to practical applications, revolutionizing various industries by automating complex tasks and enhancing decision-making processes.
The rise of autonomous agents marks a significant shift in AI, as they transition from experimental projects to essential components for automation and decision-making in various businesses.