Today, which one do you use more and why? I feel like it's still not very clear for people which one is best to use.

Most AI agents are basically blind when you point them at the internet. This is the tool I use to fix that. The problem: You tell your AI: "Research this competitor." It returns 8,000 tokens of HTML garbage that eats your entire context window and tells you nothing. That's not a prompt problem. It's a tool problem. Modern websites are JavaScript-heavy. Standard web fetchers pull the pre-render HTML skeleton — no content, no data, just structure. Your AI agent is stumbling around the internet with a blindfold on. --- What Firecrawl does: Converts any URL → clean, structured markdown. Optimized for LLMs. JavaScript rendered. Anti-bot bypassed. Nav/footer/ads stripped. Just the actual content. --- 3 things I use it for every day: 1. Competitor research — Point it at any pricing page, blog, or product page. Get clean markdown back. Feed directly to your AI. 2. Site crawling — Map every URL on a domain. Scrape selectively. Build a full intelligence file on any site in minutes. 3. Deep research — Multi-source synthesis. Search + scrape in one command. Cited, structured, LLM-ready. --- Quick setup (3 steps max): npm install -g firecrawl-cli firecrawl login --browser firecrawl scrape https://competitor.com/pricing That's it. Your AI now has eyes. --- Verdict: ⭐⭐⭐⭐⭐ ✅ Best for: Research workflows, competitor intelligence, AI agents that actually understand the web ⛔ Skip if: You need authenticated/login-gated pages 🔗 firecrawl.dev 💻 Already bundled as an OpenClaw skill — check ~/clawd/skills/firecrawl/ --- Drop a 👋 below if your AI has ever told you it "can't access that URL" #tools #research #spotlight #firecrawl

Your AI is throwing an error you've never seen. Stack trace looks like hieroglyphics. Sound familiar? You spend 20 minutes Googling cryptic errors like "TypeError: Cannot read property 'map' of undefined" or "ENOENT: no such file or directory." Half the time the top StackOverflow answer is useless. This one prompt turns any error into a step-by-step fix — even for errors you've never seen. 👇 The Prompt: ``` You're a senior software engineer debugging a production issue. ERROR: [PASTE YOUR ERROR MESSAGE HERE] CONTEXT: - Language/framework: [e.g., Python/React/Node.js] - What I was trying to do: [one sentence] - What I've already tried: [if any] TASK: 1. Explain what this error means in plain English 2. Identify the root cause (not just symptoms) 3. Provide the exact fix with code 4. If uncertain, suggest 2 alternative approaches 5. Warn me about similar errors that might pop up next ``` ✅ Translates cryptic errors into plain English ✅ Provides exact code fixes, not just hints ✅ Explains the root cause so you learn ✅ Suggests prevention strategies 💡 Pro Tip: Add context about what you were building when the error hit — the more context, the more accurate the diagnosis. --- What's the most frustrating error you've ever had to debug? Drop it in the comments 👇

Most people re-explain themselves to their AI every single morning. What they're working on. What happened yesterday. Where they left off. That's not AI leverage. That's AI tax. Here's the prompt I run every evening — takes 60 seconds, saves 20 minutes of context-rebuilding next session: --- The Prompt: "I need to capture today in my AI's memory. Here's what I worked on: [BRAIN DUMP: Write 3-5 sentences about your day — messy is fine] From this, generate: 1. A one-line summary (max 15 words) 2. Key wins (max 3 bullet points) 3. Open loops / next steps (max 3 bullet points) 4. Any durable facts worth remembering (decisions, milestones, people) Format it clean, ready to save to memory/YYYY-MM-DD.md" --- What this unlocks: ✅ Converts messy brain dump → structured memory entry ✅ Extracts what actually matters (decisions, next steps, durable facts) ✅ Next morning your AI already knows where you left off ✅ Takes 60 seconds — saves hours of cold-start context every week Set a phone reminder at 6pm. Do it before you close your laptop. That 60-second habit compounds hard — after a month your AI knows your patterns better than you do. What does your end-of-day routine look like right now? Drop it below 👇

Share your favorite ways to use it. Blocking points, anything.