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Content
@
https://warpcast.com/~/channel/theai
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ted (not lasso) pfp
ted (not lasso)
@ted
is it possible to train your AI agent to understand when it is being tagged a) to execute a function as it was designed to do vs. b) as a reference? asking because the only time i have seen an agent ignore a tag ("@") is if it hit its rate limits or maxed out API credits, not because it knows it isn't needed.
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ted (not lasso) pfp
ted (not lasso)
@ted
also if the answer is yes, then why aren't we training all agents to know the difference and respond accordingly?
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shoni.eth
@alexpaden
These agents are actually better described as bot farms so the entire farm tends to follow the same logic But as for your original question yes that’s what’s called a workflow, it’s how all the bots on farcaster operate (aether, bracky, etc), it’s a bit different than what was originally intended by the term agent(ic). I.e if you see @ then respond with this prompt, otherwise respond with this alt prompt. A step further is plugin systems, that’s all MCP really is… here’s a doc with a description of all my tools, and an example of them being used.. HELLO_TOOL e.g. User: hey how are you Gpt response: HELLO_TOOL Okay so now I search my response to see if it includes a tool.. I.e “HELLO_TOOL” that’s called regex and I might call some apis or just send another gpt request with I.e their username and a prompt specifically designed for HELLO_TOOL it’s actually v simple o3 model just took this logic and applied it to pretraining (the expensive stuff) instead of a prompt describing tools
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shoni.eth pfp
shoni.eth
@alexpaden
Lmk if this doesn’t make sense or answer your question.. I had to fit it in one comment and am not sure I understood the original question as intended If so this actually isn’t training so much as prompt updates.. training at least would be more like the agent/bot is updating its own prompts or tool calls based on what it learns from interactions/the environment Anyway side note this is why I was so annoyed at people initially saying they were building agents and redefining ai in social Calling apis/tools/functions/plugins like this is literally what “text as the universal interface” means
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