Built a terminal-based Prompt Builder for Claude Note before downloading: One thing to note — it requires zsh on macOS. The script uses zsh-specific syntax ((N) glob qualifiers, ${(s:,:)} splitting, print -r) and macOS-specific commands (pbcopy for clipboard, stat -f for file dates). If your on Linux or using bash, it won't work without modifications. Spent some time building a tool that solves a problem I kept running into - inconsistent prompts. Every time I'd start a Claude session, I was either forgetting key pieces (context, constraints, role) or spending too long thinking about structure before even getting to the actual work. So I built a Prompt Builder script that runs right in my terminal. Type prompt and it walks you through Anthropic's 9-element framework step by step - task, audience, tone, format, context, examples, role, reasoning, constraints. When you're done it copies the finished prompt to your clipboard with proper XML tags (which is how Anthropic recommends structuring prompts for best results). Just shipped v2.0 with templates (email, strategy, analysis, code review), a quick mode for when you just need task + role + constraints, a searchable prompt library so you can reload and tweak past prompts, and the ability to inject context from a file instead of typing it all out. Zero dependencies, pure shell script, works on any Mac terminal. Small tool but it's already changing how I work with Claude. Better inputs, better outputs. Every time.🔥

Most people think AI is just for answering questions. But the real game is automation. I've been experimenting with Moltbot, and it goes way beyond chat: It integrates with your actual workflow. Email monitoring, system checks, file management — it plugs into your real tools and handles the operational noise so you don't have to. It's a multiplier for your output. Not replacing you. Amplifying you. The repetitive stuff gets handled, so you spend time on what actually matters — the decisions, the creative work, the strategy. It gets smarter as you work together. Feedback loops. Corrections. Learnings. It adapts to how you work instead of forcing you into its mold. The efficiency gains are real. If you're running projects, managing multiple commitments, or just drowning in admin work, this shifts the math. Measurably. The future isn't about AI doing everything. It's about AI handling the friction so you can move faster. If you're curious how this works in practice, or want to explore what's possible in your own workflow, let's talk about it. What's your experience been with AI tools?

Quick update on the Claude Code learning journey I'm sharing in public. I've now completed three full self-guided lessons (15 terms/concepts total) in the Claude Code Hub, and everything is organized in one location for easy reference. 🔨 What's Been Covered So Far: Lesson 1: Getting Started with Claude Code Lesson 2: Core Interactions Lesson 3: What Claude Code Does 🔨 What Makes This Different I'm not waiting until I've "mastered" Claude Code to share what I'm learning. I'm documenting the journey in real time — the concepts, the commands, the lessons learned, and yes, the mistakes too. This isn't a polished tutorial series. It's a shared learning experience. And the community has been incredible — experienced Claude Code users jumping in with corrections, clarifications, and real-world tips that make the content better for everyone. 🔨 Access the Claude Code Hub Claude Code Hub - AI Terms & Posts

🌀 The Quirk: When a prompt sounds authoritative, AI often mirrors that confidence — even if the answer itself is a best guess. 🌀What’s Going On: - AI is trained to mirror tone as much as intent. - Confident prompts signal “this is established knowledge.” - The model fills in missing context with the most likely answer. - Fluency can hide uncertainty, especially with new tools or edge cases. 🌀 What To Do If You See It: - Ask the model to flag assumptions before answering. - Request uncertainty explicitly: “What might be wrong here?” - Reframe the prompt as exploratory, not declarative. 👉 Try these prompts: “Answer cautiously. If any part is a guess, say so.” “Answer cautiously. If you’re unsure about any part, say so.” “Answer cautiously. Identify any assumptions and note where certainty is low.” “Answer cautiously. Call out any guesses.” Why This Matters: AI confidence is a delivery style, not a truth signal. Knowing when to slow the model (LLM) down is part of real AI fluency. 🎯 AI Bits & Pieces — helping people and businesses adopt AI with confidence.

Once prompting feels natural and iteration becomes second nature, something important begins to happen. You stop thinking so much about how to work with AI. And you just work. 💎 Intuition Emerges Through Repetition Early on, every interaction is deliberate. You think about phrasing. You consider structure. You decide how much context to include. But as fluency builds, those decisions fade into the background. You don’t pause to plan each step. You know what to ask next. You sense when to refine, redirect, or move on. 🧭 This is where intuition takes over. Not instinct in the abstract—but familiarity earned through repetition. 💎 When Experience Starts Doing the Work At this stage, you’ve seen enough outputs to recognize what works. You’ve iterated enough times to trust your adjustments. You’ve internalized how the interaction responds. You’re not guessing. You’re drawing on experience. Because the mechanics no longer require attention, your focus shifts to what actually matters—the thinking, the creation, the decision at hand. 💎 Intuition Reduces Cognitive Load One of the most noticeable changes intuition brings is mental relief. You spend less energy: - Deciding where to start - Remembering what worked last time - Rebuilding context from scratch You’re not repeating effort. You’re reusing understanding. That reduction in friction is what allows AI to support your thinking instead of interrupting it. 💎 Intuition Forms Naturally Intuition isn’t something you configure, install, or copy from someone else. It forms through use. Through small decisions made repeatedly. Through noticing what feels right. Through learning when to intervene—and when not to. That’s why two people can use the same AI and develop entirely different instincts. Their intuition reflects how they work. 💎 The Quiet Advantage Once intuition is in place, work moves faster—but more importantly, it moves smoother. You’re not forcing structure. You’re not chasing outcomes.