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Founder Spotlight: Ariel Harmoko @Artifact AI and agentic AI systems
- 2024 is the year when AI agents are the talk of the town. AI agents have the ability to execute a multitude of tasks for you. The last couple of weeks were intense in this space as major tech companies have demoed their upcoming agentic products.
- Microsoft gave a demo on their Copilot Studio, Google showcased Jarvis, and Salesforce launched their own low-code agent building tool called Agentforce. Major AI architectures based on agentic workflows are emerging.
- Many people can build an agentic framework or multi-agent AI workflow highly specific to their use case today. OpenAI’s Swarm library is open source on GitHub for anyone to experiment with.
- Artifact AI's vision is to become the global standard in accounting software. They've developed a customizable, agent-driven workflow that covers everything from bookkeeping to tax filing and everything in between.
- Multi-agentic AI systems are essentially LLM-based agents that operate almost like an LLM in a loop, but with memory and states. This system is what we call a multi-agent AI system.
- Ariel Harmoko, the CEO of Artifact AI has spoken with 300-400 founders. He believes that most founders are not building their companies bottom-up with AI agents because this space is still new and requires deep technical knowledge of LLMs to stay current with the latest advancements.
- For those looking to build AI-native companies, it is recommended to build a tailored evaluation framework for different LLMs based on their use case. You don’t need to be a technical founder to start building such workflows.
- The next big leap in AI may be on the hardware front. Already, we are seeing this in the push towards AR/VR and the Tesla Bot gaining traction. The fusion of multimodal AI with hardware, enabling interaction beyond chat to include vision and more, is going to be thrilling to watch.
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