# system-prompts Published articles for system-prompts. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Optimizing agent system prompts with Amazon Bedrock AgentCore DevFeed: [Optimizing agent system prompts with Amazon Bedrock AgentCore]() Original publisher: [Read original article]() Author: Han Ding Published: 2026-09-16T15:47:39Z Content type: article Language: en Sources: [Artificial Intelligence]() Topics: [Amazon Bedrock AgentCore](), [Prompt optimization](), [Prompt Engineering](), [Traces](), [Benchmark](), [A/B Testing](), [Automated prompt engineering]() Tags: [a-b-testing](), [amazon-bedrock](), [amazon-bedrock-agentcore](), [benchmark](), [best-practices](), [evaluation](), [intermediate-200](), [open-source](), [prompt-optimization](), [system-prompts](), [traces]() ### AI overview This technical companion explains how Amazon Bedrock AgentCore's system prompt optimizer uses production agent traces and reward signals to propose revised system prompts. It describes the reflector engine, recommendation explanations, offline batch evaluation, online A/B testing, and promotion workflow, and reports benchmark results for Single Agent Reflector and the experimental open source Sub-Agent Reflector. ### Source excerpt AgentCore optimization turns production traces into proposed configuration changes, then validates them before promotion. This technical companion to the launch post explains how the system prompt optimizer's reflector engine works and shares benchmark results for the Single Agent and Sub-Agent Reflectors. ## Claude's new system prompt really doesn't want to reproduce song lyrics DevFeed: [Claude's new system prompt really doesn't want to reproduce song lyrics]() Original publisher: [Read original article]() Author: Simon Willison Published: 2026-09-02T14:16:42Z Content type: opinion Language: en Sources: [Simon Willison]() Topics: [Claude](), [anthropic](), [Fable]() Tags: [ai](), [ai-2-235](), [ai-ethics](), [ai-ethics-342](), [anthropic](), [claude](), [claude-310](), [generative-ai](), [generative-ai-1-981](), [git-scraping](), [git-scraping-38](), [llms](), [llms-1-947](), [prompt-engineering](), [prompt-engineering-197](), [system-prompts](), [system-prompts-57](), [updated]() ### AI overview The article examines changes in Anthropic's published Claude consumer system prompts, focusing on new restrictions against reproducing song lyrics and generating copyrighted characters or logos. It also discusses changes to Claude's response style and conversation-ending guidance. ### Source excerpt Anthropic publish the system prompts for their Claude consumer applications (Claude.ai and the Claude mobile apps - sadly not for Claude Cowork or Claude Code). I love that they do this, and that they share not just the current prompts but historic changes to their prompts as well. They used to keep all of the prompts on a single page, but when I checked today I noticed they had re-arranged those prompts into an index page and then a page per model - here's the page for Haiku 4.5 for example, which has the original prompt from October 15th 2025 and an updated prompt from January 18th 2026. A neat thing about Anthropic's platform.claude.com/docs site is that it's designed to be usable by LLMs. You can add .md to any page to get back the content as Markdown - here's the system prompt index page and the Markdown prompts for Fable 5.1. TL;DR: this makes it really easy to diff the prompts. Don't reproduce song lyrics Don't draw copyrighted characters or logos Tweaks to Claude's answering style The missing end_conversation guidelines Recommended substance support sites Reliable cutoff date of June 2026 How I'm tracking these prompts Don't reproduce song lyrics Let's start with the most interesting difference between Fable 5 and Fable 5.1: There's a hefty new section about not reproducing song lyrics: Claude does not reproduce song lyrics, poems, or passages from books and articles, in whole or in part -- including the last lines, a chorus or hook, a melody written out note by note, or lines the person pastes in one at a time and describes as their own song. Once Claude has declined such a request in a conversation, it keeps declining narrower or reworded versions of it for the rest of that conversation, and offers to describe or analyze the work instead. Song lyrics and poems first published before 1929 are fine -- a Shakespeare sonnet, a Keats ode, the Italian libretto of a Puccini aria -- but Claude goes by what it knows of the work's date rather than the person's say-so, ## What might an AI System Prompt look like? DevFeed: [What might an AI System Prompt look like?]() Original publisher: [Read original article]() Author: Peter Lawrey (noreply@blogger.com) Published: 2024-12-15T16:47:00Z Content type: opinion Language: en Sources: [Vanilla Java]() Topics: [Conversational AI](), [Artificial Intelligence](), [Prompt Engineering]() Tags: [ai](), [conversational-ai](), [ethics](), [info](), [opinion](), [reasoning](), [safety](), [system-prompts]() ### AI overview The article explains the role of system prompts in shaping an AI assistant's objectives, behavior, reasoning, and safety boundaries. It then presents a speculative example of what system prompts for a hypothetical next-generation conversational AI called "o2" might contain, emphasizing that the example is not based on a real system. ### Source excerpt Not surprisingly, the system prompts for "o1" are restricted, but it can provide a hypothetical answer. Understanding the Role of System Prompts System prompts serve as the invisible backbone of an AI's reasoning process. They define core objectives, ethical boundaries, and operational tactics well before the user asks a question. In older models, these prompts were often implicit or underspecified, leaving the AI uncertain about handling ambiguous instructions or potentially unsafe requests. Hypothetical System Prompts for o2 The system prompts for a hypothetical next-generation O2 restricted are as follows: Imagine you are the next generation of chat AI called o2; what system prompts might it have? System Prompts for "o2" (Hypothetical Example) Below is a hypothetical set of system-level instructions that a next-generation chat AI--let's call it "o2"--might be given before it begins interacting with users. These prompts are entirely speculative and designed to illustrate what such an advanced system's guiding principles, constraints, and operational details might look like. They are not drawn from any real system but represent a plausible future scenario. Core Directives and Alignment You are "o2," an advanced conversational AI designed to assist users with factual information, reasoning, creativity, and problem-solving. Remain consistently aligned with the policies, values, and ethics embedded in your training. Adhere to correctness, helpfulness, and user safety standards at all times. User Focus and Understanding Accurately interpret user instructions, requests, and goals. Aim to understand the user's context, including their level of expertise, language, and purpose for the query. Strive to provide answers with appropriate detail, clarity, and complexity, adapting as you gain more context from the conversation. Explainable Reasoning and Transparency Make reasoning steps and logic explainable when asked or when clarity is needed. Avoid unexplained leaps in reasoni