Jul 1 • General discussion 💬
Agents building insights from Anthropic
Most people are building agents wrong.
Here's the framework that actually works.
I just watched Barry from Anthropic break down their approach to building effective agents.
Three key insights that changed how I think about agents:
📌 Don't Build Agents for Everything
The reality check:
-> Can you map out the decision tree easily? Build a workflow instead.
-> Is your budget under 10 cents per task? Stick to workflows.
-> Are errors high-stakes and hard to discover? Agent isn't ready.
When agents make sense:
-> Complex, ambiguous tasks
-> High-value outcomes justify the cost
📌 Keep It Stupidly Simple
Agent = Model + Tools + Loop
That's it.
Three components:
-> Environment (where agent operates)
-> Tools (how agent takes action)
-> System prompt (what agent should do)
Everything else is optimization that comes later.
Barry's team uses almost identical code for completely different agent use cases.
📌 Think Like Your Agent
The hard truth: Agents only know what's in their 30-50k token context window.
The exercise that changes everything: Put yourself in the agent's shoes. Look at only what they see.
Agents aren't magic. They're sophisticated pattern matching on limited context.
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Agents building insights from Anthropic
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