Prompting is not “better questions.” It’s leverage. Real money results come from levels of control. Most people never move past basic asking. So AI keeps guessing what they meant. And they keep editing the mess. Here are the 6 levels of AI leverage: 1/ Asking “Write me a blog post.” “Summarize this.” “Explain marketing.” No structure. No context. No direction. Generic answers. Inconsistent quality. More editing. 2/ Explaining Now you add context. “Write a blog post about AI automation for startup founders, beginner-friendly tone.” Better relevance and clarity. Still: variable quality and unpredictable structure. This is where most users stop. 3/ Structuring Now you define the format. “Write: - Hook - 5 bullet points - Final CTA - Under 300 words” Cleaner outputs. Better readability. Reusable workflows. Easier editing. This is where prompting gets operational. 4/ Positioning Now you assign perspective. “Act as a McKinsey consultant.” “Act as a senior product manager.” “Act as a technical CTO.” Reasoning changes. Tone changes. Depth and decision framing change. One of the biggest jumps in output quality. 5/ Constraining Now you add rules and boundaries. “Answer in 5 bullets.” “Use no jargon.” “Keep under 150 words.” “Only use the attached data.” More precision, consistency, predictability. Lower hallucinations. Most bad outputs come from prompts too open-ended. 6/ Directing Now you guide the thinking process. “Think step-by-step.” “Analyze risks before recommending.” “Challenge your own assumptions.” “Create the plan first, then execute.” AI stops just generating. It reasons, evaluates, plans, critiques, orchestrates. Sаvе this and audit your last 10 prompts. Which level are you actually using? ------ *** Wanт 27+ FŔЕЕ 𝐀𝐈 𝐆𝐢𝐟𝐭𝐬, Worth 💲15000? *** Enjoy with 100K+ AI Community and Accеѕs to ⤵️ ➡ 60+ Chapters of ChatGPT Mastery ➡ 38000+ AI Tools ➡ 600+ AI Courses ➡ 3000+ AI Prompts & More 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 👉 aiplanetx.com
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Santa Clara, California 11,794 followers
Daily AI Insights for Smarter Work and Business Growth
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AI Insights helps professionals, creators, students, entrepreneurs, and business owners understand and use artificial intelligence in a simple, practical, and useful way. This page shares daily insights on AI tools, ChatGPT prompts, automation, productivity, content creation, business growth, marketing, technology trends, and real-world AI use cases. Our goal is to make AI easier to understand for everyone. Whether you want to save time, improve your work, grow your business, create better content, learn new AI tools, or stay updated with the latest AI trends, AI Insights gives you clear and actionable knowledge without complicated technical language. On this page, you will find: AI tool tutorials ChatGPT and Claude prompts AI automation ideas Productivity workflows AI news and updates Business use cases Marketing and content creation tips Beginner-friendly AI guides Practical examples for daily work Technology insights for the future AI is changing how people work, learn, create, and build businesses. AI Insights helps you stay ahead by turning complex AI topics into simple lessons you can actually use. Follow AI Insights to learn how to use artificial intelligence smarter, faster, and more effectively in your career, business, and daily life.
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- Santa Clara, California
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- 2023
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- Visual Analytics, Custom Infographic Solutions, AI, AI Insights, artificialintelligence, ChatGPT Prompts, AI Automation, Artificial Intelligence, AI Tools, AI News, AI for Business, AI Tutorials, Claude AI, Business Growth, Digital Marketing, and Prompt Engineering
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Most people use Claude like a chatbot. But with the right setup, it starts running daily work like an AI operating system. Here are 11 tips to get there. 1/ Start with the right foundation Bad workflows usually start with bad setup. Use Projects (not random chats) Enable Extended Thinking for hard tasks Sаvе your best prompts Pin your writing style guide Use voice mode for brainstorming Projects keep files, memory, rules, workflows. 2/ Give Claude a clear role Bad: “Write a strategy.” Better: “You are a senior SaaS growth strategist helping a B2B startup increase retention.” Clear roles improve reasoning, tone, structure, decisions. 3/ Always define the output format Say exactly what you want: Return as a table Use bullet points Output JSON Create a LinkedIn carousel Structured prompts create structured outputs. 4/ Force step-by-step thinking Add: “Think step by step before answering.” Best for strategy, coding, analysis, planning, debugging. Fewer mistakes. Less shallow reasoning. 5/ Use negative instructions Tell it what NOT to do: Avoid generic advice No buzzwords No filler No corporate jargon Avoid repetition You control failure modes. 6/ Ask for multiple options Give me 5 versions Show 3 different angles Generate 10 hooks Use AI as an option generator first. 7/ Install Claude Code properly Install with: npm install -g @anthropic-ai/claude-code Then run: /init inside every project. It reads your codebase and builds context. 8/ Create a CLAUDE.md file Add standards, architecture rules, naming, style, workflow. Claude reads it automatically. Less repetition forever. 9/ Separate projects properly One project per client, business, or workflow. Cleaner memory. Better precision. 10/ Treat Claude like a real employee Give context, rules, feedback. Refine workflows over time. More operational context = better performance. 11/ The biggest mistake Random questions. Constant restarts. Weak prompts. Zero structure. Advanced users build systems, workflows, memory layers, templates. Sаvе this and try tip #1 today. ------ *** Wanт 27+ 𝐅𝐫𝐞𝐞 𝐀𝐈 𝐆𝐢𝐟𝐭𝐬, Worth 💲15000? *** Join Our 100K+ AI Community Enjoy Instant & Cоstlеss Accеѕs of ⤵️ ➡ 60+ Chapters of ChatGPT Mastery ➡ 38000+ AI Tools ➡ 600+ AI Courses ➡ 3000+ AI Prompts & More 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 👉 aiplanetx.com
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Solid post. It feels sharp, useful, and quietly powerful at the same time
GOODBYE CARMAX. GOODBYE CARVANA. I just bought a 2 year old SUV for $8,400 under MSRP without setting foot in a dealership! No haggling. No 4 hour test drives. No "let me check with my manager." Just 7 ChatGPT prompts that consistently expose every trick a dealer uses: 1. Spot The Dealer Markup "Act as a former F&I manager at a top 10 US dealership. Here is the listing [paste]. Break down the real cost the dealer paid, the average margin in this segment, and the maximum walk-away discount they will accept this month. Give me the exact dollar number I should counter with." 2. Read The VIN Like A Mechanic "Act as an ASE-certified master mechanic who has inspected 5,000 used cars. Here is the VIN [paste]. Pull every red flag: accident history, recall status, common failure points for this year/make/model, and the 3 inspections I must do before signing." 3. Decode The Out The Door Price "Act as a former auto loan officer who reviewed 200 deals a week. Here is the offer sheet [paste]. List every fee that is fake, padded, or negotiable. Tell me the real out-the-door number and the exact script to use to get there." 4. Compare Like A Wholesale Buyer "Act as a wholesale auto buyer who bids at Manheim auctions. For [year/make/model] in [my zip], pull comparable wholesale, trade-in, and retail prices. Tell me the highest I should pay, the lowest the seller will accept, and the 3 markets where this car is $2-4k cheaper." 5. Find Off-Lease Gold "Act as a former lease return manager at a major captive lender. List the 10 off-lease vehicles hitting the market in the next 90 days that are underpriced relative to retail demand. Sort by deal quality. Tell me how to get on the wholesale list before they hit the lot." 6. Negotiate Like You've Done This 1000 Times "Act as a professional car buying concierge. Write me a 3-message email script for [dealer name] that gets a final out-the-door price in writing within 48 hours. Make it polite, firm, and impossible to ignore." 7. Audit The Loan Before You Sign "Act as a senior credit analyst at a credit union. Here is the proposed financing [paste]. Tell me if the rate is fair, what my real qualifying rate should be, and the 4 add-ons in the contract I must refuse before driving off." Old way: walk in, get charmed, sign the same night for $8k more than the car is worth. New way: hand the dealer a number you already know they'll accept. That's the trade I wish I'd made 5 years ago. Try these and save this post for when you're ready to buy your next car! Follow me for daily prompts and AI hacks.
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You forget AI videos in 10 minutes. Fix it. Turn any YouTube video into a reusable Claude skill in about 5 minutes. The shift is simple: stop consuming content. start converting it into systems. 1/ Pick systems, not entertainment Best videos include: - tutorials - checklists - step-by-step systems - workflows - frameworks - repeatable processes Avoid: - vlogs - reactions - opinions - random commentary - entertainment clips Rule: If it teaches a repeatable method, it can become a Claude skill. 2/ Extract the 5 most important things Before building the skill, identify: - the problem it solves - the steps in order - the rules the creator repeats - the mistakes to avoid - the final output structure Claude skills work best when: workflows are structured, triggers are clear, outputs are predictable. 3/ Build the SKILL.md automatically Open Claude and paste: “Use The Skill-Creator To Build A Skill From This Video Transcript. * Video Title: [Paste Title] * Creator: [Paste Creator Name] * YouTube Link: [Paste Link] The Skill Should Activate When I Ask Claude To Use This Video’s Method To Complete A Task. The Skill Should Extract: ➔ The Main Problem The Video Solves ➔ The Step-By-Step Method ➔ The Rules The Creator Repeats ➔ The Mistakes To Avoid ➔ The Output Format Claude Should Follow Transcript: [Paste Transcript] Do NOT Use This Skill For General Advice Or Random Summaries. Tasks That Do Not Match The Video’s Method Should Not Trigger The Skill. Interview Me On Anything Missing Before Generating The SKILL.md. Then Run An Evaluation. This Creates Structured Reusable Workflows Automatically. 4/ Test before installing Test: - 5 similar requests - 3 unrelated requests - trigger reliability - output consistency A good skill should activate correctly, stay quiet when irrelevant, and follow the framework consistently. Sаvе this and try it on one video today. ------ *** Wanт 27+ 𝐅𝐫𝐞𝐞 𝐀𝐈 𝐆𝐢𝐟𝐭𝐬, Worth 💲15000? *** Enjoy with 100K+ AI Community and Accеѕs to ⤵️ ➡ 60+ Chapters of ChatGPT Mastery ➡ 38000+ AI Tools ➡ 600+ AI Courses ➡ 3000+ AI Prompts & More 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 👉 aiplanetx.com
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Most people still use AI like a chatbot They ask one question. Get one answer. Then manage the rest manually. Perplexity Computer works more like an OS. It runs the workflow end to end. Here’s the shift to notice: 1/ Not one model, but coordinated systems Most AI tools rely on one model. Perplexity Computer uses multiple models together. So instead of Q and A, it: - plans - executes - coordinates - delivers finished outcomes Assistant becomes workflow engine. 2/ The multi-model stack behind it It combines specialized models, like: - Claude = reasoning + orchestration - GPT = long context + broad search - Gemini = deep research + sub-agents - Grok = fast execution - Perplexity Search = live verified information - Veo + image models = visuals + video - QA agents = testing + debugging Each handles a different layer of work. That’s why the output feels different. 3/ It acts like a team, not a chat box Most products wait for instructions. Perplexity breaks work into parallel systems: - understand goal - split into tasks - assign specialized models - execute in parallel - combine final output Less prompting. More orchestration. 4/ The workflow stays simple You describe the outcome in plain English. Perplexity plans, assigns, coordinates, validates. You receive a finished product. 5/ What this enables in one prompt A full social life dashboard system: - aggregates local events - connects calendars - recommends groups - tracks friend activity - delivers weekend recommendations - summarizes monthly activity Plus filtering, availability checking, modern UI, personalization. 6/ Why it matters for business Teams can compress: - planning, research, execution - coordination, iteration into one workflow layer. The biggest advantage is no longer better answers. It’s faster execution across entire systems. Sаvе this if you’re tracking where AI is going. ------ *** Wanт 27+ FŔЕЕ 𝐀𝐈 𝐆𝐢𝐟𝐭𝐬, Worth 💲15000? *** Join Our 100K+ AI Community Enjoy Instant & Costless ассeѕs of ⤵️ ➡ 60+ Chapters of ChatGPT Mastery ➡ 38000+ AI Tools ➡ 600+ AI Courses ➡ 3000+ AI Prompts & More 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 👉 aiplanetx.com
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80% of your Claude time is pure waste Most people make Claude start from scratch. Every session. Every task. Every time. The upgrade is not better prompts. It’s using the features that carry the work. Here are 7 that change everything: 1/ CLAUDE.md = your memory layer Stop repeating the same instructions. Store: writing style, brand voice, product context, team rules, formatting preferences, workflow instructions. Claude reads it before every response. Result: more consistency, better outputs, less repetition, faster workflows. 2/ Skills = repeatable workflows Turn a process into one trigger command. Examples: content rewriting, PRD generation, research summaries, competitor analysis, code reviews. Trigger once, Claude runs the whole workflow. 3/ Projects = persistent context A project keeps files, notes, context, rules, references, workflows. Pinned in one workspace. Best for clients, research, product work, long-term content systems, team collaboration. Cuts context loss, repeated prompting, and workflow friction. 4/ Plan Mode = controlled execution Don’t let AI execute immediately. It leads to mistakes, wasted runs, messy outputs, expensive retries. Plan Mode flow: Claude makes a plan, you review, you approve execution. Great for coding, automation, research workflows, large edits, multi-step projects. Thinking → Approval → Execution = reliability. 5/ Subagents = AI pipelines One agent, one job. Example: research, analysis, writing, formatting. Cleaner, faster, more scalable, easier to debug. 6/ MCP Connectors = real automation Connect Claude to Gmail, Notion, Google Drive, Slack, Docs, internal systems. Pull live info, update workflows, summarize conversations, organize files, draft responses, automate ops. No constant copy-pasting. Shift: AI Assistant → AI Operating System 7/ The real AI advantage Persistent context. Reusable systems. Structured workflows. Automation layers. Controlled execution. People winning with Claude aren’t using AI occasionally. They’re building systems around it. Sаvе this and try one feature today. ------ *** Want 27+ 𝐅𝐫𝐞𝐞 𝐀𝐈 𝐆𝐢𝐟𝐭𝐬, Worth 💲15000? *** Join Our 100K+ AI Community ⤵️ 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 👉 aiplanetx.com
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60 AI tools founders ignore (and regret later) Most teams still do hours of busywork daily. Not because they have to. Because they have not picked the right tools. Here are 10 categories where AI Sаvеs hours. And helps you get more done. 1/ Content + Writing Top tools: Jasper, Copy.ai, Writesonic, Rytr, Anyword, Wordtune Use for: blogs, ads, emails, social posts, brainstorming, rewrites Result: faster writing, fewer blank-page moments 2/ Design + Visual Top tools: Canva AI, Adobe Firefly, Leonardo AI, Midjourney, DALL·E, Looka Use for: graphics, branding, mockups, logos, social visuals, concept art Design work that took hours now takes minutes 3/ Video + Audio Top tools: Pika, Synthesia, Descript, Runway, ElevenLabs, Lovo AI Use for: AI videos, voiceovers, editing, avatars, short-form, podcasts One person can run workflows once built for teams 4/ Meeting + Transcription Top tools: Fathom, Avoma, Bliro, Tactiq, Soundraw, Happy Scribe Automates: summaries, transcripts, action items, follow-ups, searchable notes More focus in the room, less admin after 5/ Research + Insight Top tools: Scite AI, Elicit, ResearchRabbit, Poe, You.com, Andi Use for: market research, evidence, competitors, trends, analysis Instead of 20 tabs, research in minutes 6/ Productivity + Automation Top tools: Taskade, Reclaim AI, Motion, Mem, Mindy, Relay.app Use for: scheduling, prioritization, workflows, reminders, systems Goal: remove unnecessary work entirely 7/ Customer Support + Chatbots Top tools: Intercom AI, Crisp, Tidio, Ada, Botpress, Chatbase Use for: FAQs, ticket reduction, response speed, scaling support Small teams handle workloads once needing big teams 8/ Data + Analytics Top tools: Akkio, MonkeyLearn, ThoughtSpot, ChatGPT For Data, DataRobot, Polymer Use for: reporting, forecasting, dashboards, trends, insights Ask questions in plain English, skip spreadsheet pain 9/ Development + Coding Top tools: GitHub Copilot, Tabnine, Replit AI, Codeium, Kite, Cursor Use for: code, debugging, autocomplete, refactors, faster builds AI becomes a second engineering brain 10/ Sales + Marketing Top tools: Surfer SEO, Salesforce Einstein, Lavender, Smartwriter.ai, Lemlist, Regie.ai Use for: outbound, SEO, personalization, leads, automation Prospecting to execution gets compressed fast Sаvе this and pick 1 category to test today. ------ *** Wanт 27+ 𝐅𝐫𝐞𝐞 𝐀𝐈 𝐆𝐢𝐟𝐭𝐬, Worth 💲15000? *** Join Our 100K+ AI Community Enjoy Instant & Cоstlеss Accеѕs of ⤵️ ➡ 60+ Chapters of ChatGPT Mastery ➡ 38000+ AI Tools ➡ 600+ AI Courses ➡ 3000+ AI Prompts & More 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 👉 aiplanetx.com
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Most Claude Code users only know 3 commands. That is fine for quick questions. But power users run full workflows. With shortcuts that protect context and speed. Here are the command groups worth learning. 1/ Basics (reduce friction fast) ➔ /help, /clear, /compact, /status, /context Best for long sessions, organization, and less clutter. Most people waste context without noticing. 2/ Navigation (stay in flow) ➔ /rename, /copy, /focus, /tui, /exit They feel small. But speed compounds in debugging and multi-project work. 3/ Planning + reasoning (fewer big mistakes) ➔ /plan, /ultraplan, /execute, /model, /effort Workflow: generate plan, review safely, execute after approval. Great for refactors, migrations, feature builds, infra changes. 4/ Speed + productivity (lower mental load) ➔ /fast, /recap, /powerup Step away, come back, run /recap. Claude rebuilds the workflow context quickly. 5/ Automation (where it gets serious) ➔ /batch, /loop, /tasks, /teleport Built for repetitive edits, multi-file operations, and long runs. Most users still do this manually. 6/ Remote + cross-device ➔ /remote-control, /rc, /remote-env, /mobile Remote sessions, cloud environments, mobile continuity, portability. Huge for distributed teams and async collaboration. 7/ Side agent multitasking ➔ /btw Ask side questions without polluting the main context. 8/ Optimization + debugging ➔ /insights, /simplify, /debug, /stats ➔ /less-permission-prompts, /voice The goal is not just faster code. It is less friction across the whole system. Sаvе this for your next long build. ------ *** Want 27+ 𝐅𝐫𝐞𝐞 𝐀𝐈 𝐆𝐢𝐟𝐭𝐬, Worth 💲15000? *** Join Our 100K+ AI Community ⤵️ 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 👉 aiplanetx.com
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AI Insights reposted this
Paid AI courses are a waste and these 20 Claude classes prove it. Anthropic just dropped 35 hours of free Claude courses. But do not study everything at once. Treat this chart like a ladder. Build your foundation first. Create real projects to get hired. Here’s how: Week 1: Build foundation Take: Claude 101 AI Capabilities and Limitations AI Fluency Goal: Learn what Claude is good at, where it fails, and how to write better instructions. Do not skip this. Bad prompting usually starts from weak basics. Week 2: Turn Claude into work assistant Take: Introduction to Claude Cowork Then create one real work folder. Add: your notes PDFs docs past work project brief writing samples Use Claude to summarize, organize, rewrite, compare, and create drafts from your own files. This is where Claude becomes useful. Week 3: Pick role path Students: Take AI Fluency for Students. Educators: Take AI Fluency for Educators and Teaching AI Fluency. Business owners: Take Small Business, Nonprofits, or Enterprise Adoption. Devs: Take Claude Code 101, Claude Code in Action, API, Agent Skills, Subagents, and MCP. Week 4: Build one project Do not just collect certificates. Build something. A research assistant. A content system. A customer support helper. A code review agent. A team training guide. A file analysis workflow. Paid classes give you ideas. This chart gives you skills. Save the image. Choose your path. Build something this week. - 𝐀𝐦𝐚𝐳𝐢𝐧𝐠 𝐀𝐈 𝐆𝐢𝐯𝐞𝐚𝐰𝐚𝐲: 𝐎𝐯𝐞𝐫 $𝟏𝟓,𝟎𝟎𝟎! - ChatGPT with 60+ chapters - 38,000+ AI tools - 600+ AI courses - 3,000+ creative AI prompts and more 𝐃𝐨𝐧'𝐭 𝐦𝐢𝐬𝐬 𝐨𝐮𝐭 𝐡𝐞𝐫𝐞👉 aiplanetx.com Or 𝐕𝐢𝐞𝐰 𝐦𝐲 𝐧𝐞𝐰𝐬𝐥𝐞𝐭𝐭𝐞𝐫 up there ⬆️
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Most PMs underuse Claude Code badly It is not just for engineers. Non-technical PMs run it like an AI Chief of Staff. Here is the simple setup that keeps your work moving. 1) Install Claude Code in VS Code - Open VS Code - Go to Extensions - Search “Claude Code” - Install the extension - Sign in with your Anthropic account Important: use the extension, not Terminal. Most PMs do not need complex CLI workflows. You get chat, file awareness, execution, and app integrations without real coding. 2) Choose the right Claude plan You do not need the priciest setup first. - Pro ($20/month): PRDs, planning, workflows, meeting prep, product analysis - Max ($100–200/month): larger context, long docs, heavy multi-project workflows Free option: OpenRouter Rule: do not obsess over models. Models change constantly. Workflow matters more. 3) Teach Claude your product This is what most people skip. Have it learn strategy, positioning, customers, workflows, team structure, terminology. Prompt: “Sаvе This Information Into CLAUDE.md And Use It As Product Context Going Forward.” Add overview, goals, segments, tone, roadmap. 4) Connect your work apps Connect Notion, Jira, Linear, Slack, Gmail, Calendar, Google Drive. Now Claude can review PRDs, summarize Slack, analyze tickets, prep meetings, draft updates, and organize info without constant copy-paste. 5) Use Claude Projects for long-term context Projects store docs, references, tone, workflows, and a persistent knowledge system. Less restarting from zero. More consistency, quality, speed, and long-term collaboration. 6) Use Claude like a Product Operating System PMs use AI like search. Advanced PMs use it like infrastructure. Slack = pain points Notion = PRDs Jira = execution Claude = reasoning layer 7) The real shift for PMs AI is not replacing PMs. PMs using AI systems will outperform PMs using manual workflows. If you build persistent context and connected tools, you unlock the real productivity gain. ------ *** Wanт 27+ FŔЕЕ 𝐀𝐈 𝐆𝐢𝐟𝐭𝐬, Worth 💲15000? *** Enjoy with 100K+ AI Community and Accеѕs to ⤵️ ➡ 60+ Chapters of ChatGPT Mastery ➡ 38000+ AI Tools ➡ 600+ AI Courses ➡ 3000+ AI Prompts & More 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 👉 aiplanetx.com
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