Anthropic Unveils Opus 4.7 and Agentic Dreaming

Anthropic rolled out significant updates to Claude Managed Agents, including "dreaming" and multi-agent orchestration, alongside the new Opus 4.7 model with enhanced vision and coding. Google launched Gemini 3, bringing upgraded capabilities to its app, like digitizing notes and custom widget creation, powered by Gemini Intelligence. GitHub Copilot introduced a desktop app in technical preview, a CLI agent for JetBrains IDEs, and user-level memory for personalized coding preferences, signaling a shift towards more autonomous and context-aware AI assistants across the board.

Top of the Week

Anthropic has significantly advanced its Claude Managed Agents this week, introducing "dreaming" capabilities, explicit outcome definition, and multi-agent orchestration. These features, detailed in release notes from April 2026, allow agents to generate internal plans, define success metrics, and coordinate with other agents, moving beyond simple prompt-response interactions towards more complex, autonomous workflows. This deepens Claude's utility for intricate tasks like software engineering, where agents can now independently strategize and execute multi-step projects.

Alongside these agentic upgrades, Anthropic also launched Claude Opus 4.7, its latest flagship model. Opus 4.7 boasts improvements in software engineering and long-running coding tasks, coupled with higher-resolution vision capabilities, enabling the model to "see" images in greater detail. This model, available since April 16, 2026, also underpins Claude Design, a new Anthropic Labs product for visual output creation, and a faster, Haiku 4.5-powered Claude in Chrome extension that handles image uploads.

This week's updates from Anthropic underscore a clear industry trend: AI models are evolving from static tools into dynamic, proactive agents. The ability for Claude to "dream" and orchestrate multi-agent workflows means developers can delegate more complex, open-ended problems, shifting their role from direct instruction to high-level supervision and strategic guidance. This is a foundational step towards truly autonomous AI systems that can independently tackle intricate, multi-faceted projects.

Claude

• Opus 4.7 Arrives — Anthropic released Claude Opus 4.7 on April 16, 2026, bringing substantial improvements to software engineering, complex coding tasks, and higher-resolution vision. This model is now generally available and forms the backbone of new visual creation tools. This matters for developers and designers looking for more capable and visually acute AI assistance in their workflows.
• Agentic "Dreaming" Feature — Claude Managed Agents now include a "dreaming" capability, allowing agents to generate internal plans and strategies before executing tasks. This enhances their ability to tackle complex, multi-step problems more autonomously by thinking ahead. Builders can now assign more abstract goals, relying on the agent to self-organize the steps required.
• Defined Outcomes for Agents — Managed Agents can now be assigned explicit "outcomes," enabling them to define and track success metrics for their tasks. This provides a clearer feedback loop for agent performance and allows users to specify desired results rather than just initial instructions. This is critical for integrating agents into production workflows where measurable results are paramount.
• Multi-Agent Orchestration — Anthropic introduced multi-agent orchestration, allowing Claude Managed Agents to coordinate and collaborate on larger projects. This means complex tasks can be broken down and distributed among specialized agents, improving efficiency and scalability. For enterprise users, this opens up possibilities for sophisticated, distributed AI systems.
• Claude Design for Visuals — With Opus 4.7, Anthropic also launched Claude Design, a new product that enables collaboration with Claude for creating visual outputs like designs, prototypes, slides, and one-pagers. This expands Claude's utility beyond text generation into the realm of visual content creation. Designers and marketers gain a new AI co-pilot for rapid ideation and asset generation.
• Code Execution Tool API — As of August 27, 2025, a new API tool allows Claude to execute Python code within a secure, sandboxed environment. This significantly boosts Claude's utility for developers by enabling it to test and validate code directly. This feature makes Claude a more powerful coding assistant, capable of not just writing but also verifying code.
• Haiku 4.5 Powers Chrome Extension — Claude in Chrome, an experimental browser extension, now defaults to Haiku 4.5, making it faster and more responsive. The extension allows Claude to read, click, and navigate websites, and now handles image uploads directly. This makes web-based tasks, like filling forms or uploading expense reports, more efficient for users.
• Memory for Pro and Max Plans — Max plan users gained access to Claude’s memory capabilities as of October 23, 2025, with a gradual rollout to Pro plans. This feature allows Claude to retain context and preferences across conversations, leading to more personalized and consistent interactions. This improves the long-term utility and user experience for frequent Claude users.

Gemini

• Gemini 3 App Update — Google unveiled a major update for the Gemini app, powered by Gemini 3, bringing upgraded smarts and new capabilities. This update enhances the core Gemini experience across web and mobile. Users can expect a more intelligent and versatile AI assistant for daily tasks.
• Digitize Paper Notes — The Gemini app now allows users to digitize paper notes, turning physical documents into digital text. This streamlines information capture and organization, making it easier to integrate handwritten notes into digital workflows. This is a practical feature for students, professionals, and anyone dealing with physical documents.
• File Generation in Gemini — Users can now easily generate various file types directly within Gemini. This expands Gemini's creative and productivity capabilities, allowing for direct output of structured content. This simplifies content creation and document preparation for a wide range of uses.
• Gemini Intelligence for Android 17 — Gemini Intelligence, a new suite of features arriving on Android in 2026, will expand Gemini's ability to accomplish multi-step automation across applications. This aims to transform Android into a more "intelligent operating system." Android users will experience a more proactive and integrated AI assistant on their devices.
• AI-Powered Custom Widgets — Android 17 will introduce a "Create My Widget" feature, allowing users to generate custom widgets using natural language prompts to Gemini. These widgets can pull from various data sources and be resized across platforms, including Wear OS. This offers unprecedented personalization and dynamic information display on Android home screens.
• Chrome Auto Browse and Form Fill — Gemini Intelligence will power Chrome auto browse, a built-in browser agent, and enable single-tap form filling using Gemini Personal Intelligence. This feature can pull information from Calendar, Gmail, and other Google services to automate online tasks. This significantly speeds up web interactions and data entry for users.
• Gboard Speech-to-Text Refinement — Gemini Intelligence will enhance Gboard on Android, allowing users to convert speech into polished text using Gemini's AI capabilities, including removing "ums" and "ahs." This improves the quality and naturalness of voice input, making dictation more reliable and professional.
• Temporary Chat Feature — A new "Temporary Chat" feature, rolling out from August 13, 2025, allows for one-off conversations with the Gemini app that are not saved to chat history. This is ideal for private questions or brainstorming ideas outside of a user's usual style. This offers enhanced privacy and flexibility for sensitive or experimental inquiries.
• Gemini 2.5 Pro (experimental) for Advanced Users — Gemini Advanced users now have priority access to Gemini 2.5 Pro (experimental), a chat-optimized version of Gemini-2.5-Pro-Exp-03-25. This model, debuting at #1 on LMArena, features native thinking capabilities and improved performance in complex tasks like coding, math, and image understanding. This provides cutting-edge AI capabilities for power users and early adopters.
• Ask Maps with Gemini 3.0 Pro — Google Maps has received its biggest update, introducing "Ask Maps," a conversational experience powered by Gemini 3.0 Pro. This allows for more intuitive and personalized navigation, making trip planning and real-time guidance more interactive. This fundamentally changes how users interact with mapping and navigation services.

Copilot

• GitHub Copilot App Technical Preview — The GitHub Copilot app is now in technical preview for Business and Enterprise subscribers, offering a GitHub-native desktop experience for agentic development. This app allows developers to start isolated agent sessions from GitHub artifacts, steer them, and manage changes through pull requests. This marks a significant step towards more integrated and autonomous development workflows.
• CLI Agent in JetBrains IDEs — GitHub Copilot has brought its CLI agent into JetBrains IDEs, enabling developers to delegate long-running, terminal-based tasks directly from their IDE with connected editor context. This unifies the developer experience across different environments and allows for more seamless AI assistance. This improves productivity for developers using JetBrains products.
• REST API for Cloud Agent Tasks — A public preview of the Agent tasks REST API allows Copilot Business and Enterprise users to programmatically start Copilot cloud agent tasks. This enables custom automations to make and validate code changes, then open pull requests, weaving the agent into existing CI/CD pipelines. This empowers teams to integrate Copilot's agentic capabilities into their broader engineering systems.
• Copilot Memory for User Preferences — Copilot Memory now supports user-level preferences, allowing Copilot to remember preferred commit styles, pull request structures, and communication tones. This feature is available for Copilot Pro and Pro+ users by enabling it in personal Copilot settings. This leads to more personalized and consistent code suggestions and interactions, aligning with individual developer habits.
• Unified Sessions View — The GitHub Copilot CLI agent in JetBrains IDEs now includes a unified sessions view, showing live status for running and queued sessions. This provides better visibility and control over ongoing agent tasks. Developers can more effectively manage multiple AI-assisted coding efforts.
• Ask Question Tool in Agent Mode — An "ask question" tool has been added to agent mode, allowing for more direct interaction and clarification during agent-driven development. This enhances the steerability of agents, enabling developers to interject and guide the AI more effectively. This improves collaboration between human and AI developers.
• GPT-5.4 mini in Auto Model Selection — GPT-5.4 mini is now available in Copilot Student auto model selection as of April 1, 2026. This provides student users with access to a more advanced and efficient model for their coding tasks. This ensures students have access to cutting-edge AI for learning and projects.
• C++ Code Intelligence in CLI Preview — C++ code intelligence for GitHub Copilot CLI is now in public preview. This expands Copilot's language support for its command-line interface, providing intelligent assistance to C++ developers. This broadens Copilot's utility for a wider range of programming languages.
• Pause on New Copilot Business Self-Serve Signups — GitHub has paused new self-serve signups for GitHub Copilot Business as of April 22, 2026. This indicates a potential re-evaluation or restructuring of their business offerings. Prospective users should monitor for updates on availability.
• Changes to Copilot Plans for Individuals — GitHub announced changes to Copilot plans for individuals, including a shift to AI Credit consumption for all model usage starting June 1. New rate limits and more transparent tracking are also being implemented. Users should review their plans and monitor usage to avoid unexpected costs or service interruptions.

Tools Worth Trying

1. Gumloop — An AI-native automation tool designed for building complex, multi-step workflows where AI model calls are first-class citizens. It's for solo creators and operators who find Zapier too shallow for real AI work, allowing visual canvas connections of AI models, web scrapers, and data sources into decision-making pipelines. Setup is more involved, and it works best on desktop.
2. Mercury 2 by Inception — A genuinely architecturally different AI model launched February 24, 2026, offering 11x faster reasoning at the same quality by using a diffusion architecture that refines full outputs in parallel. It boasts 92% accuracy on math and 90% on coding benchmarks, supports function calling, structured output, and is open-weight for local deployment. Ideal for privacy-conscious developers wanting an autonomous agent without external servers.
3. Claude Design — A new Anthropic Labs product that lets you collaborate with Claude Opus 4.7 to create visual outputs like designs, prototypes, slides, and one-pagers. This is for designers and product managers looking to rapidly ideate and generate visual assets with AI assistance.
4. NotebookLM — A Google AI tool for analyzing documents and getting answers based on your own materials. It's a killer differentiator for researchers, students, and anyone needing to extract insights and generate content from personal knowledge bases.
5. Perplexity AI — A research AI that provides real-time answers with reliable sources, making it a go-to for factual inquiry and quick information retrieval. It acts as a powerful alternative to traditional search engines for in-depth, cited responses.
6. Winston AI — An AI detector that clearly shows which parts of a text are AI-generated versus human-written, making it a must-have for academic work, writing checks, and content review. It's highly reliable for those in education or content creation concerned with authenticity.

Claude Opus 4.7 uses a new tokenizer that produces up to 35% more tokens for the same input text, meaning real costs per request can rise even though the rate card is unchanged.

The 5-Minute Action Plan

1. Explore Claude's Agentic Features: If you're building complex workflows, investigate Claude Managed Agents' new "dreaming" and multi-agent orchestration capabilities. Review the release notes and consider how these could automate multi-step tasks in your projects.
2. Test Claude Opus 4.7's Vision: Experiment with Claude Opus 4.7 for tasks requiring high-resolution image understanding or visual content creation using Claude Design. Upload detailed images and prompt for analysis or design ideas to see the improved fidelity.
3. Try Gemini's New App Features: Download the updated Gemini app and test its new capabilities, particularly digitizing paper notes or generating files directly within the app. See how these features streamline your daily information management.
4. Experiment with Copilot's CLI Agent: If you use JetBrains IDEs, enable and test the GitHub Copilot CLI agent to delegate terminal-based coding tasks directly from your IDE. Observe how it integrates context and streamlines your command-line interactions.
5. Configure Copilot Memory: If you're a Copilot Pro or Pro+ user, enable Copilot Memory in your personal settings and define your preferred commit styles or PR structures. This will start personalizing Copilot's suggestions to your coding habits.
6. Review Copilot Pricing Changes: If you're an individual Copilot user, review the upcoming changes to plans, including the shift to AI Credit consumption and new rate limits, effective June 1. Adjust your usage expectations or explore alternative options if necessary.

When evaluating multiple AI models for a task, routinely run the exact same prompt across 2-3 different tools. Compare the answers to build intuition about which model excels at specific types of questions, rather than relying on a single tool.

"Given the following [CONTEXT/PROBLEM DESCRIPTION], provide a [DESIRED OUTPUT FORMAT, e.g., summary, code snippet, brainstorming list]. Highlight any assumptions made and offer 2-3 alternative approaches if applicable. Focus on [SPECIFIC CRITERIA, e.g., conciseness, technical accuracy, creative solutions]."

The Prompt Library

Deep Dive Research Synthesis

This prompt helps you synthesize information from multiple sources into a coherent, insightful report.

You are an expert research analyst. I will provide you with several articles/documents on the topic of [TOPIC]. Your task is to synthesize the key findings, arguments, and data points from these sources into a comprehensive report.

Structure your report with the following sections:
1. **Executive Summary:** A concise overview of the main conclusions.
2. **Key Themes & Insights:** Identify and elaborate on 3-5 overarching themes or insights that emerge across the sources.
3. **Supporting Evidence:** For each theme, provide specific data, quotes, or arguments from the sources, citing them clearly (e.g., [Source A, Page X]).
4. **Contradictions/Discrepancies:** Note any significant disagreements or conflicting information between the sources.
5. **Unanswered Questions/Further Research:** Identify areas that the provided sources do not fully address or suggest avenues for future investigation.
6. **Implications:** Discuss the practical implications of these findings for [TARGET AUDIENCE/INDUSTRY].

Ensure the tone is objective and analytical. Prioritize depth over breadth.

Advanced Code Review and Refactoring

Use this prompt to get detailed feedback on code, including potential bugs, performance issues, and refactoring suggestions.

You are a senior software engineer specialized in [PROGRAMMING LANGUAGE, e.g., Python, JavaScript, Java] and clean code principles. I will provide you with a code snippet or a small module.

Your task is to perform a thorough code review, focusing on:
1. **Correctness:** Identify any potential bugs, edge cases, or logical errors.
2. **Readability & Maintainability:** Suggest improvements for code clarity, adherence to [LANGUAGE]'s conventions, and ease of future maintenance.
3. **Performance & Efficiency:** Point out any bottlenecks or areas where the code could be optimized for speed or resource usage.
4. **Security:** Highlight potential security vulnerabilities (e.g., injection risks, improper input validation).
5. **Refactoring Suggestions:** Propose concrete refactoring steps to improve the code's structure, reduce complexity, and enhance modularity. Provide specific code examples for proposed changes.
6. **Testability:** Comment on how easily the code can be unit-tested and suggest improvements if needed.

Provide your feedback as a markdown-formatted list of actionable items, grouped by category.

Persuasive Email Draft for Stakeholders

This prompt helps you craft a compelling email to convince stakeholders about a new initiative or proposal.

Draft a persuasive email to [STAKEHOLDER GROUP, e.g., Executive Leadership, Project Team, Clients] regarding [TOPIC/PROPOSAL, e.g., implementing a new AI tool, shifting project priorities, requesting budget for X].

The goal of this email is to [DESIRED OUTCOME, e.g., gain approval, secure resources, inform and align].

Include the following elements:
1. **Clear Subject Line:** Engaging and informative.
2. **Concise Opening:** State the purpose directly.
3. **Problem Statement:** Briefly describe the current challenge or opportunity.
4. **Proposed Solution/Initiative:** Detail your proposal, highlighting its key features.
5. **Key Benefits:** Quantify or clearly articulate the advantages for [STAKEHOLDER GROUP] and the organization (e.g., "reduce costs by 15%", "increase efficiency by 20%", "enhance customer satisfaction").
6. **Call to Action:** Specify what you want them to do next (e.g., "schedule a follow-up meeting," "review the attached proposal," "provide feedback by [DATE]").
7. **Optional: Risk Mitigation:** Briefly address any potential concerns or risks and how they will be managed.

Maintain a professional, confident, and action-oriented tone.

Learning a New Technical Concept

Use this to get a structured explanation of a complex technical topic, tailored to your current understanding.

Explain the concept of [TECHNICAL CONCEPT, e.g., "Transformer architecture in NLP," "Docker containerization," "Quantum Entanglement"] to me as if I am a [YOUR CURRENT KNOWLEDGE LEVEL, e.g., "junior developer with basic programming knowledge," "non-technical manager," "high school student"].

Break down the explanation into the following parts:
1. **Analogy:** Start with a simple, relatable analogy.
2. **Core Idea:** Explain the fundamental principle in clear, concise language.
3. **Key Components:** Describe the main parts or steps involved.
4. **How it Works (Simplified):** Walk through a simplified process flow.
5. **Why it Matters:** Explain its practical applications and significance.
6. **Common Misconceptions (Optional):** Address any frequent misunderstandings.

Avoid jargon where possible, or explain it immediately if necessary. Use bullet points and short paragraphs for readability.

Brainstorming Creative Solutions

This prompt helps generate diverse and innovative ideas for a given problem or challenge.

I need to brainstorm creative solutions for [PROBLEM STATEMENT, e.g., "increasing user engagement on our mobile app," "reducing customer churn for our SaaS product," "finding a unique marketing angle for our new eco-friendly product"].

Generate at least 10 distinct ideas, categorized by approach. For each idea, provide:
1. **Idea Name:** A catchy, descriptive title.
2. **Brief Description:** A 1-2 sentence explanation of the idea.
3. **Potential Impact:** How might this idea address the problem?
4. **Feasibility (Low/Medium/High):** A quick estimate of implementation difficulty.

Consider a mix of short-term and long-term solutions, and don't be afraid to think outside the box.

Summarize Meeting Notes into Action Items

Quickly distill raw meeting notes into clear, actionable tasks with owners and deadlines.

You are a project manager. I will provide you with raw meeting notes. Your task is to extract all action items, assignees, and deadlines.

Format the output as a markdown table with the following columns:
| Action Item | Owner | Due Date | Status | Notes |

If an owner or due date is not explicitly mentioned, indicate "TBD" or "ASAP" and add a note to clarify. Ensure each action item is concise and unambiguous.

Meeting Notes:
[PASTE MEETING NOTES HERE]

Decision Framework Application

Apply a structured decision-making framework to a complex choice.

Help me make a decision regarding [DECISION SCENARIO, e.g., "which cloud provider to choose for our new application," "whether to pivot our product strategy," "hiring for a new senior role"].

Use the following decision framework:
1. **Define the Goal:** What is the primary objective of this decision?
2. **Identify Alternatives:** List at least 3 distinct options.
3. **List Key Criteria:** What are the most important factors to consider (e.g., cost, scalability, risk, time to market, team expertise, user impact)? Assign a weight (1-5, 5 being most important) to each criterion.
4. **Evaluate Alternatives against Criteria:** For each alternative, score it against each criterion (1-5, 5 being best).
5. **Analysis & Recommendation:** Based on the weighted scores, provide a recommendation and explain the rationale.
6. **Potential Risks & Mitigation:** What are the risks associated with the recommended option, and how can they be addressed?

Present the evaluation clearly, perhaps using a table for scores.

Improve Writing Tone and Clarity

Refine a piece of writing to achieve a specific tone and enhance clarity.

I need to improve the following text for [DESIRED TONE, e.g., "professional and confident," "engaging and friendly," "authoritative and academic"] while also enhancing its clarity and conciseness.

Original Text:
[PASTE TEXT HERE]

Focus on:
- Eliminating jargon or explaining it simply.
- Strengthening weak verbs.
- Improving sentence structure for flow and impact.
- Ensuring the message is direct and easy to understand.
- Adjusting vocabulary and phrasing to match the desired tone.

Provide the revised text and a brief explanation of the key changes made.

Debugging Assistant for Code Errors

Get help understanding and fixing a specific code error.

I am encountering an error in my [PROGRAMMING LANGUAGE, e.g., Python, JavaScript] code. I will provide the code snippet and the error message.

Your task is to:
1. **Explain the Error:** Clearly describe what the error message means.
2. **Identify the Root Cause:** Pinpoint the most likely reason for this error in the provided code.
3. **Suggest a Solution:** Provide a corrected version of the code snippet or specific instructions on how to fix it.
4. **Explain the Fix:** Detail why your suggested solution resolves the issue.
5. **Preventive Measures (Optional):** Offer advice on how to avoid similar errors in the future.

Code Snippet:
[PASTE CODE SNIPPET HERE]

Error Message:
[PASTE ERROR MESSAGE HERE]

Task Breakdown for Complex Projects

Break down a large project into smaller, manageable, and actionable steps.

You are a project planner. I have a large project: [PROJECT NAME/GOAL, e.g., "Launch a new e-commerce website," "Develop an AI-powered recommendation engine," "Organize a virtual conference"].

Break this project down into logical phases, and then for each phase, list 5-7 key tasks. For each task, suggest:
1. **Task Name:** A clear, actionable title.
2. **Brief Description:** What needs to be done.
3. **Estimated Effort:** (Small, Medium, Large)
4. **Dependencies:** Any tasks that must be completed beforehand.
5. **Potential Owner (Role):** Which team role would typically handle this?

Structure your output with clear headings for phases and bullet points for tasks.