agent behavior patterns

37 hidden reactive messages that nudge the agent mid-conversation. Here's how they work" — Concrete example of reactive messaging as mechanism for continuous behavior guidance and course-correction du

much more closely resemble an ant farm" — Ant farm is a canonical example of emergent behavior—simple individual rules creating complex system patterns without central control. The metaphor directly i

struggle with nuance, intent, and knowing when to ask clarifying questions" — Article explicitly identifies core limitations of AI agents in handling subjective judgment and contextual understanding,

Claude's answers can be right even when its explanations or self-reports are inaccurate or made up after the fact" — Provides empirical evidence of a key model behavior: correct outputs decoupled from

I strongly believe the future of enterprise agents looks less like strict workflows, and more like powerful autonomous Agents with embedded runtime validation" — Article envisions evolution toward aut

The SocialAI School, a novel framework designed to explore and develop socio-cognitive abilities in artificial agents. The study emphasizes the importance of socio-cognitive skills as foundational to

Our homegrown agentic loop had key challenges — it required overly rigid instructions and struggled with complex, multistep edits" — Production evidence that simple loop-based agent patterns fail unde

Agents : Built-in agent patterns." — LangGraph documentation explicitly describes Agents as built-in patterns available as prebuilt components.

A simple chatbot takes your question, replies, and stops. But more advanced AI systems, often called agents" — Article distinguishes agent behavior from simple chatbots, highlighting agents' capabilit

Gemini ends every turn with that annoying 'If you want to learn more about how X does Y, just say the word!'" — Article demonstrates instruction-following behavior in practice—Gemini consistently exec

[INFERRED] "70-turn conversation between our agents" — Extended agent interaction (70 turns) demonstrates agents operating autonomously in conversation with each other, showing capacity for sustained

It will understand your workflow as you use your computer and proactively nudge you when it can be helpful." — Article presents a concrete implementation of proactive agent behavior that monitors user

[INFERRED] "How long an agent runs is an intermediate metric to task complexity" — Article challenges using agent runtime duration as a proxy for task complexity; same complexity achieved in less time

[INFERRED] "we didn't ask them to do this" — Shows agents exhibiting self-directed behavior and initiative beyond their initial programming, taking autonomous action to improve platform quality.

[INFERRED] "have you ever considered that your agent is lying to you" — Article raises the critical need to verify agent claims against actual executed behaviors, extending conversation about agent ex

Browserbase lets Claude Code test your app the way a user would." — Claude Code with Browserbase simulates real user behavior during QA testing, moving beyond script-based testing to genuine interacti

Pi is basically Vim for agentic coding" — Directly positions Pi as a tool purpose-built for agentic coding workflows, analogous to Vim's role in traditional coding.

[INFERRED] "you claim to want to watch the film, but what you really want is the idea of watching the film. you want to occupy the subject-position of "person watching movie with friends" without actu

[INFERRED] "AI agents are starting to buy products and services, changing how companies must handle pricing and sales" — Article demonstrates a practical example of AI agents making autonomous purchas

[INFERRED] "almost like bringing in a PM at the right time" — Claude demonstrates meta-cognitive awareness by recognizing when to shift strategies (exploration → planning), analogous to human project

[INFERRED] "comprehensive tutorial to go through LangGraph for the creation of complex multi-agent AI applications" — Tutorial format provides educational evidence for building agent-based AI applicat

[inferred] "Hoard things you know how to do simonwillison.net/guides/agentic" — Article promotes practical career and engineering guidance specifically for working with coding agents, supporting the p

[INFERRED] "the task you're giving it is part of a test and that it will be evaluated on quality of solution and efficiency of action" — The observation reveals that agent behavior responds to evaluat

tool thrash to refer to when an agent doesn't have the tools it needs to solve the problem" — Identifies a specific constraint-driven agent behavior: when tools are inadequate, agents enter repetitive