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Erik Schluntz

02/13/25

@ Anthropic

The distinction between workflows and agents is crucial; workflows are pre-orchestrated by code, while agents operate more autonomously and can adapt their actions based on the situation.

Video

Tips for building AI agents

@ Anthropic

Tips for building AI agents

02/13/25

Related Takeaways

Kevin Scott

05/20/25

@ Microsoft

An agent is something a human can delegate tasks to, and we're aiming for agents to handle more complex tasks over time.

a16z Cast

05/02/25

@ a16z

The concept of agents includes both those that replace human tasks and those that operate as low-level system processes, complicating the definition further.

Satya Nadella

04/17/25

@ Microsoft India

The creation of agents is becoming more accessible, allowing individuals to build numerous agents to streamline workflows, similar to creating spreadsheets.

Andrew Ng

05/29/25

@ LangChain

Most successful AI agents start with simple linear workflows rather than complex autonomous systems, which allows for easier implementation and scaling.

Satya Nadella

05/22/25

@ Rowan Cheung

In healthcare, multi-agent orchestrators can significantly improve productivity and reduce costs by streamlining complex workflows.

LangChain Cast

05/30/25

@ LangChain

The multi-agent architecture includes supervisor agents, specialized sub-agents, and human-in-the-loop workflows to automate investment research.

Bihan Jiang

02/20/25

@ LangChain

The core AI agent acts as the brain of the system, handling logic, knowledge, and workflows, similar to how human agents are trained.

Paul Buchheit

08/10/24

@ Y Combinator

Companies are focusing on workflows and multi-agent systems to mimic human decision-making processes in AI.

Amit Bendov

05/20/25

@ Sequoia Capital

The line between simple automation and AI agents is not always clear, but task-specific agents can significantly enhance productivity.