Building Effective AI Agents | Anthropic
anthropic.com
Saved by Raul Coutinho-Garrido and
Building Effective AI Agents | Anthropic
a high-quality domestic robot will constantly need to reevaluate. “Where am I?,” “What is my current status?,” “What risks and opportunities are there in my current situation?,” “What should I be doing, in the near term and the long term?,” and “How should I execute my plans?”*2
Ernest Davis • Rebooting AI: Building Artificial Intelligence We Can Trust
Building Agents is less about the code you write or framework you use. The difference between a cheap demo and a “magical” agent is about the quality of the context you provide. Imagine an AI assistant is asked to schedule a meeting based on a simple email:
Hey, just checking if you’re around for a quick sync tomorrow.
The "Cheap Demo" Age
... See morePhilipp Schmid • The New Skill in AI Is Not Prompting, It's Context Engineering
Goal content What objective should the AI pursue? How should a description of this objective be interpreted? Should the objective include giving special rewards to those who contributed to the project’s success? Decision theory Should the AI use causal decision theory, evidential decision theory, updateless decision theory, or something else? Epist
... See moreNick Bostrom • Superintelligence: Paths, Dangers, Strategies
Finding the right balance between autonomy and control depends on the specific application space. Park says one of the main challenges with generative agents is that they need a very clear objective function.
Sandhya Hegde • Autonomous AI agents could change the world, but what do they actually do well?
How to Work with Al - Without Losing the Work
• Choose your epistemology: What do you want to know, and what do you trust?
• Frame before you feed: LLMS will give you answers to bad questions. So design better questions.
• Simulate, don't surrender: Use models to stretch scenarios, not decide strategy.
• Decide what's sacred: Which parts of your proces