An AI agent is an intent-based abstraction that combines LLMs to plan and take action in order produce a desired goal.
Who is working on this?
- Sierra Agent OS is a framework for building AI agents
- Enso is a subscription to AI agents that perform various tasks
See also:
Links to this note
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As large language models proliferate into every service and ultimately replaces business logic, we will be left with the horrible burden of maintaining mush.
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Typed Languages Are Best for AI Agents
Typed languages should be the best fit for useful AI agents. Context is needed for practical LLM applications and type systems provide a ton of context. Compiling code provides a short loop that can help the agent.
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I’ve been testing out
goosean AI agent for writing code that runs on your machine instead of as an IDE co-pilot. -
Several startups are touting AI employees that you can hire to perform a specific function. Itercom announce Fin, an AI customer service agent and so did Maven AGI. Piper is an AI sales development representative, so is Artisan and 11x. Devin is a software engineer.
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An incomplete list of AI-powered web browser automation and AI agent projects.
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What Does it Mean to Be AI Native?
With the capabilities of large language models getting more useful for real work, the pressure is on to incorporate them everywhere. I’m seeing an increase in loud voices proclaiming people and businesses must become “AI Native” if they are to survive.
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Satya from Microsoft talks about how orchestrating between business applications is the next step for artificial intelligence which will replace business logic with AI.