Patrick Dougherty
@cpdough
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building ai agents for companies @ https://t.co/WOtsAGQqAO
North Carolina, USA
Joined November 2011
Here's my lessons learned while building a product around AI agents for the past year:
medium.com
Building AI Agents over the past year has been a roller coaster… Here’s a little overview of what I’ve learned so far.
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If I had a nickel for every time a client suggested building an “AI Agent” to do something that literally just requires a SQL query… 🤔.
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When waiting for technology to adapt and improve, it almost always happens faster than you’d expect. When waiting for humans to adapt and improve, it almost always happens slower than you’d expect.
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this is such a better term for what we actually do all day.
I really like the term “context engineering” over prompt engineering. It describes the core skill better: the art of providing all the context for the task to be plausibly solvable by the LLM.
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This is why the “handoff” multi-agent approach (one context window, passed between agents) doesn’t make sense to me. Hierarchical multi-agent setup is the only one we’ve gotten significant performance gains out of. And yes that’s mostly attributable to multiple context windows.
New on the Anthropic Engineering blog: how we built Claude’s research capabilities using multiple agents working in parallel. We share what worked, what didn't, and the engineering challenges along the way.
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“The reason that the Fortune 500 aren’t using LLMs to transform their workflows isn’t because the management is too stodgy. “. Agree! They are trying, it’s just not going well. So many crappy chains of prompts that are masquerading as “agents” 🤮.
Sometimes people say that even if all AI progress totally stopped, the systems of today would still be economically transformative. I disagree. The reason that the Fortune 500 aren’t using LLMs to transform their workflows isn’t because the management is too stodgy. Rather,.
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so MCP is the future of tool use but it can't decide if auth should use oauth, keys passed via command line args, or keys passed via env vars in json. not great!.
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Jobs AI can’t take, at least not soon. 1. Lifeguard.2. Preacher.3. Chef .4. Babysitter.5. Construction Worker. Will keep adding to the list.
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This housing market stat is bananas:. In 2007, the median homebuyer was born in 1968. Seventeen years later, the median homebuyer was born in. 1968. (from .
investopedia.com
In 2007, the median homebuyer was born in 1968. Seventeen years later, the median homebuyer was born in...1968.
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Rory and Brooks wearing Orange today as a tribute to Scottie's 1 year anniversary 😂
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The Pope choosing his name because of AI has to be the peak, right?
NEW: Leo XIV explained his name choice to the cardinals today as “mainly because Pope Leo XIII in his historic Encyclical Rerum Novarum addressed the social question in the context of the first great industrial revolution. In our own day, the Church offers to everyone the
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NBA scouting report of models in Cursor. Claude 3.7: low ceiling, high floor. Claude 3.5: High basketball IQ; last guy in the gym. Gemini 2.5: Knows exactly who he is; steady contributor. o3: Lottery-level talent. Looks great in an empty gym.
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Use Cursor to write your changelog in Docs. "i need your help updating our release notes!. git log -p --pretty=fuller -35 | cat. run this and then update my changelog". only reason is updated. shout out @mintlify for docs in the same git repo.
docs.asteragents.com
Stay up to date with the latest releases from Aster Agents
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Great interview question to see if someone understands how to build AI applications @ a 101 level:. “Why does Cursor get slower the longer I talk to it?”.
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o3 reasoning over images, cropping / zooming, and web searching all from a single prompt is so wild
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