🚨 خدمة مجانية رائعة أغلبنا مايعرفهااا 🚨
تعرف مسجد أو دورات مياه مسجد تحتاج صيانة ؟!👀
بعلمك طريقة بخطوتين تطلب الصيانة للمساجد 👍👍
مبادرة عظييييييييييييييمة والله💡
حمل التطبيق وارفع بلاغ https://t.co/msD6Rh5dAI
صاحب المبادرة هو رجل الأعمال أحمد المحيسني جزاه الله خير
فاتوره AI Anthropic لمستخدم من كورياً بالليل دولار الصبح صارت 16 مليون دولار 🤯
الرجال انصرع من الخوف والبنك رفض العملية بسبب المبلغ
مو اول مرة Anthropic تصدر فواتير مضروبه كذا
شركه بعد التدقيق الداخلي اكتشفو انهم دافعين 1.3 مليون دولار لفواتير AI مضروبة
نافذة البحث في الموسوعة الحديثية
(لأصحاب المواقع)
يسرنا أن نضع بين أيديكم نافذة بحث الموسوعة الحديثية، وهذه النافذة يمكنكم وضعها إن شئتم في أي مكان في موقعكم ليتمكن زوار موقعكم من خلالها التأكد من صحة الأحاديث قبل نشرها.
علما بأن تركيب هذه النافذة سهل جدا ويستغرق دقائق، وكذلك لا يؤثر على أداء موقعكم. وهذه الخدمة مجانية من موقع الدرر السنية لأصحاب المواقع والمنتديات لمن يرغب في ذلك.
لتجربة الخدمة
https://t.co/sT3BGdccni
this is f*cking gold
a way to save Fable 5's brain before it gets locked behind pay-per-token pricing
if I had this every time a model got swapped, I would've stopped losing months of setup work overnight
in the right hands, this changes everything:
> pull the exact reasoning method
> turn it into one markdown file
> load that file into any new model
> the model changes. the operating layer stays.
Fable 5 comes off standard plans after July 12. Do this before then.
full extraction prompt + trap test in the guide below:
this is f*cking dangerous
someone just revealed how to run a 10-person company with zero employees using one Claude Project
Anthropic's CEO bet on a $1B one-person company by the end of 2026.
less than 6 months left. solo founders are already past several hundred million.
here is how:
1) Create a Claude Project and add your business files
2) Connect 10 MCP agents to it for research, leads etc
3) You sit in the decision seat. the agents run the execution layer.
you don't need more employees. you need MCP agents that know the business.
save and bookmark it no matter what
then read the full article below on how to build your first company with AI without any employee: ↓
أدوات ذكاء إصطناعي إحترافية 👏🏻🤩
ـ ChatGPT : يجيب على أي شيء
ـ NanoBanana : يصمم لك أي صورة
ـ Tome : للعروض التقديمية
ـ Tabnine : يبرمج لك
ـ Durable : يبني لك موقعاً
ـ Murf ai : نص إلى صوت
ـ Copy ai : كتابة الإعلانات
ـ Character ai : تقمص شخصيات
ـ Looka : يصمم لك شعارات
ـ Tryellie : يرد على الإيميل
ـ GeneratePrompt: يولد لك أوامر احترافية مجاناً لـ ChatGPT
بعض مما افتخر به
بصمة توعوية سبقت زمانها بـ 25 عاماً .
…..
قبل ربع قرن لم يكن قالب الإنفوجرافيك مجرد تصميم، بل كان وسيلة جاذبة ، وازعم انني اول من نفذها في المملكة كقالب ومحتوى لصالح احد كبار وكلاء الاطارات بالتعاون مع هيئة المواصفات @SASOGOV عام 2002م.
فخور بـأسبقية الفكرة وريادة المبادرة وشرف التوعية التي بدأتها منذ اكثر من 35 عاماً وما زالت ثمارها ممتدة
كان قالب الانفوجرافك أهم وأقوى القوالب الاتصالية الذي بدأ استخدامه عربياً عام 2012 والذي حول البيانات والنصوص الطويلة إلى هيكل مرئي ورقمي سهٌل على الدماغ البشري استيعابه وفهمه خلال ثوانِ.
Stop wasting hours searching for AI tutorials.
These 10 FREE AI courses can help you build real, in-demand skills in 2026:
1️⃣ Google AI Essentials – Learn practical AI for everyday work
2️⃣ Meta Generative AI Fundamentals – Understand the foundations of GenAI
3️⃣ Stanford Machine Learning (Andrew Ng) – Master machine learning from one of the best
4️⃣ IBM AI Engineering Foundations – Build a solid AI engineering skillset
5️⃣ Open-Source LLMs with Hugging Face – Learn to use and fine-tune open-source models
6️⃣ LangChain for LLM App Development – Build powerful AI applications with LLMs
7️⃣ Claude Code in Action – Learn how to code faster with Claude AI
8️⃣ AI for Everyone – A beginner-friendly course with no technical background required
9️⃣ MLOps Fundamentals – Learn how to deploy and manage AI models
🔟 Introduction to Generative AI with Google – Get started with modern generative AI
💡 Best part? Every course is FREE.
Bookmark this thread and start learning today.
Follow @David_TornAI for more AI tools, prompts, and productivity tips.
Most people say, “Build an AI agent.”
But what does that actually mean?
👇 Simple AI Agent Blueprint
1️⃣ Define the task
What problem will it solve?
2️⃣ Create the instructions
Give it a clear role, goals, and rules.
3️⃣ Choose the model
Balance speed, cost, and intelligence.
4️⃣ Connect tools
APIs, databases, and apps let agents take actions.
5️⃣ Add memory
So it can remember context and improve over time.
6️⃣ Build workflows
Handle triggers, tasks, and communication.
7️⃣ Create an interface
Chatbot, app, website, or Slack bot.
8️⃣ Test and improve
Gather feedback and keep refining.
💡 An AI agent isn't just one prompt.
It's a complete system working together.
The people who understand systems are building the best AI products today.
🔖 Save this for later
🔁 Repost if it helped
➕ Follow @Ziven_Coder for practical AI content 🚀
Stop calling everything an AI Agent.
Most people confuse automation with agency.
That confusion is why most AI projects never create ROI.
Let me clarify what's what:
𝟭. 𝗟𝗟𝗠 𝗖𝗵𝗮𝘁𝗯𝗼𝘁𝘀
You ask. They answer. Done.
They don't decide. They don't run tools. They don't own outcomes
They're interfaces, not workers.
𝟮. 𝗥𝗣𝗔 (𝗥𝗼𝗯𝗼𝘁𝗶𝗰 𝗣𝗿𝗼𝗰𝗲𝘀𝘀 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻)
These are strict scripts. If X, then Y, then Z.
When they hit an edge case, they break.
They're assembly lines, not decision-makers.
𝟯. 𝗥𝗔𝗚 𝗦𝘆𝘀𝘁𝗲𝗺𝘀
Fetch data, pass it to an LLM, and give you an answer.
Useful for support and docs.
But they don't plan or act. It's memory, not intelligence.
𝟰. 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗦𝘆𝘀𝘁𝗲𝗺𝘀
A true AI Agent is a digital worker, not just a tool.
Look at the image to see the difference. It requires an Orchestrator.
Agentic systems:
𝗣𝗹𝗮𝗻𝘀 → Figures out what to do first, what data to get, what comes next.
𝗔𝗰𝘁𝘀 → It calls APIs, updates CRMs, triggers workflows.
𝗥𝗲𝗺𝗲𝗺𝗯𝗲𝗿𝘀 → Has long-term memory and learns from feedback.
𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗲𝘀 → Manages sub-agents to get the job done.
Automation follows orders.
Autonomy figures them out.
Are you building digital workers or fancy chatbots?
♻️ Repost if someone in your network needs to read this.
This Claude setup turns random chats into a working clone in 48 hours.
Start with the files that stop Claude guessing.
1️⃣ about-me.md
This is the personal briefing.
Why it matters:
↳ Claude needs to know who you are before it copies your judgment
↳ Generic output usually comes from missing context, not weak prompts
Write 10 to 15 lines:
→ Who you are, what you do, and how you communicate
→ What you never tolerate in your work
→ Which standards matter when Claude writes or decides
Drop it into your Cowork workspace folder.
2️⃣ CLAUDE.md
This is your standing order document.
Use it for:
→ Read about-me.md before every new task
→ Match my voice and avoid generic AI phrasing
→ Ask questions before acting when the task is unclear
→ Keep output plain, direct, and ready to use
Write these rules once.
Then Claude stops relearning your preferences every morning.
3️⃣ Projects
Stop treating serious work like one long chat thread.
Build one Project for content, one for ops, and one for research.
Each Project gets its own files, memory, instructions, and examples of good work.
This is where Claude starts knowing where you left off.
4️⃣ Connectors
Connect the tools Claude needs to do real work.
Start with:
→ Gmail for emails and customer threads
→ Google Drive for docs, plans, and source files
→ Google Calendar for meetings and schedules
→ Notion for notes, briefs, and internal systems
The check:
↳ If Claude cannot access the source, it will guess
↳ If Claude can read the source, it can work from reality
5️⃣ Skills
Skills turn repeated work into one command.
Build them for:
→ /weekly-report for weekly team updates
→ /content-brief for repeatable post planning
→ /client-proposal for faster sales drafts
→ /research-summary for turning sources into decisions
Use /skill-creator to build the first one with Claude.
Pick one workflow that wastes 30 minutes every week.
Turn that into a Skill first.
6️⃣ Scheduling
Pick the job you do on repeat.
Monday briefing.
Weekly report.
Inbox cleanup.
Content planning.
Set the frequency inside Cowork.
Then Claude runs the task while you focus elsewhere.
This is the real shift:
Claude stops being a chat box.
It becomes a system with your voice, files, rules, and workflows.
Build the context once.
Improve it each week.
Which part would save you the most time first?
عاجل 🚨
الموافقة على النطاقات الجغرافية التي يجوز لغير السعوديين التملك فيها في #المدينة_المنورة
وشملت النطاقات حاليًا:
رؤى المدينة، مدينة المعرفة، مشراف، الغرة، ديار المقر، المهوى، دار الهجرة، وداون تاون المدينة
للاطلاع:
https://t.co/O8BKgHWwJ9
في البداية كانت استخداماتهم بسيطة:
تلخيص اجتماعات.
كتابة إيميلات
بحث داخلي
إعداد تقارير
لكن اليوم بعض الوكلاء يقدرون:
يقرأون ويعدلون البيانات
شغلون Workflows
يحدثون سجلات
فتحون تذاكر
ينفذون أوامر
يكتبون وينشرون كود