Opinions all my own. APPLIED AI | DESIGN

Joined September 2008
60 Photos and videos
Ch 2 - Your Agent Toolkit. Claude Code, Codex CLI, OpenCode, Gemini CLI. Four agent platforms, different strengths. How to pick the right one for design work. piazr.github.io/the-agentic-…
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1/6: Most technical books ship once and then freeze. In a field moving this fast, that means they go out of date the week they're printed. So I built The Agentic Designer as a living book. v0.3.0 just landed: 10 new sections across 6 chapters.
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6/6: Automation isn't the point. The point is that a book about a fast-moving field should move too — without losing the editorial judgment that makes it worth reading. Same pipeline I teach inside the book, pointed back at the book itself.
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Read it free, now at v0.3.0: piazr.github.io/the-agentic-… notes downloads (PDF, EPUB, HTML): github.com/imehr/the-agentic…
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Ch 1 - The Agentic Design Paradigm. Design is shifting from clicking around a GUI to directing agents. The new loop: prompt, artifact, iterate, ship. The chapter maps the whole ecosystem. piazr.github.io/the-agentic-…
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27 Oct 2025
🐛 Bug in @AnthropicAI Claude Code on macOS: `/plugin marketplace add` fails due to Unicode decomposition in git paths. Quick fix: `git config --global core.precomposeunicode true` The command should handle this automatically on macOS! #ClaudeCode
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📚 Where Should AI Agent Research Go Next? This comprehensive review identifies several open challenges for AI agents: ✅ Efficient environment learning to adapt to specific apps/domains. ✅ Better planning capabilities for sequential tasks. ✅ Standardized benchmarks for fair performance comparisons. One prediction? Image-based observations and coordinate-based actions will dominate as they align closely with how humans interact with GUIs. Researchers, buckle up—this field has immense untapped potential! 🚀🔬 #AIResearch #FutureTech #AgenticAI arxiv.org/pdf/2501.16150
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⚠️ Can We Trust AI Agents With Our Screens? While AI agents promise efficiency, but their deployment raises critical safety concerns. What happens if an agent misinterprets an instruction and deletes crucial files? Or worse, access sensitive data unintentionally? This paper highlights the importance of constraining action spaces (e.g., disabling risky commands) and implementing guardrails through pre-execution checks. As these technologies evolve, balancing autonomy with oversight will be key to earning user trust. 🔒🤖 #AIEthics #SafetyFirst #AgenticAI arxiv.org/pdf/2501.16150

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🎨 How AI Agents Are Reshaping UI Design As AI agents like CCAs (instruction-based computer control agents) become more prevalent, designers need to rethink interfaces with agent-first principles. Instead of solely designing for humans, consider GUIs that cater to both users and machine agents—clear visual hierarchies, semantic identifiers, and consistent layouts will enable agents to interpret screens accurately. Bi-modal inputs (text images) are also gaining traction, indicating that hybrid designs may soon be the norm. The future of UX isn’t just human-centred; it’s agent-compatible, too! 🤖✨ #UIDesign #ProductDesign #AI #AgenticAI #Agents arxiv.org/pdf/2501.16150

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🎯 UX Researchers: Here's how @CursorAI ToolWeaver transforms your research workflow from raw interviews to actionable product features. Imagine having an AI assistant that helps you: 📝 Research Analysis: "Process these 20 user interviews and: • Extract key pain points • Identify common behavior patterns • Highlight memorable quotes • Tag feature requests • Spot emerging trends" ToolWeaver automatically creates tools that: • Convert interview transcripts to structured data • Generate affinity diagrams • Identify sentiment patterns • Create research highlight reels • Build searchable insight databases 🎭 Persona Creation: The system then synthesizes this data into: • Data-backed user personas • Behavioral archetypes • Goals and frustrations • Usage scenarios • Opportunity areas 🗺️ Customer Journey Mapping: Automatically generates: • Journey stages • Touchpoints • Pain points • Emotional states • Opportunity spaces 💡 Feature Ideation: Based on research insights, it helps: • Generate feature concepts • Create value proposition maps • Prioritize solutions • Sketch UI mockups • Build interactive prototypes The magic? Everything stays connected. When research data updates, your personas, journey maps, and feature ideas evolve automatically. No more manual updates or disconnected deliverables. This isn't just automation - it's intelligent synthesis that maintains the nuance and depth of your research while making it actionable for product teams. Perfect for research teams who want to spend less time on documentation and more time gathering insights that matter. github.com/imehr/toolweaver #UXResearch #ProductDesign #AI #UserResearch #CursorAI #cursorrules #CursorIDE #Agent #AIAgents

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🛠️ I made ToolWeaver: A smart extension for @CursorAI that automatically creates and manages development tools right when you need them. Think of it as having an AI assistant that crafts custom tools for your specific tasks. Here's a practical example: Imagine you're building an app that needs to process thousands of Excel files containing sales data. Instead of manually coding the solution, you simply describe what you need to Cursor's Agent mode: "I need a tool that can: • Process multiple Excel files • Calculate monthly sales totals • Generate performance graphs • Export results to a dashboard" ToolWeaver then: • Creates a dedicated Excel processor tool • Implements all the required functionality • Adds error handling and validation • Generates tests automatically • Creates clear documentation The best part? This isn't just a one-off script. It's a properly structured, documented, and tested tool that your team can reuse and modify. And when requirements change, the tool evolves with them. 🚀 Getting started is simple: git clone github.com/imehr/toolweaver.… toolweaverpython -m venv .venv && source .venv/activatepip install -r requirements.txt This same approach works for any development task - from API integrations to data processing to UI generation. ToolWeaver turns Cursor into your personal tool factory, saving hours of development time while maintaining high code quality standards. #CursorAI #DevTools #Programming #cursorrules github.com/imehr/toolweaver

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20 Dec 2024
It's much more efficient to use Markdown for your Claude or ChatGPT project's knowledge. I made a UI wrapper around the new Microsoft Markitdown library. My tool supports multifile upload and conversion. You can also upload a zip file of your presentations, and convert all of them to markdown to use as context in your Claude project, or even in your Coursour/Windsurf code editor as context. You can try the tool hosted on Streamlit server here or get it from GitHub. #Markdown #ProductivityHacks #Markitdown #Claude #ChatGPT markitdown-ui-f4sxavmjxiagcr… github.com/imehr/markitdown-…
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