🚀 Claude Fable 5 is now available in Promptor.
Faster, smarter, and more capable than ever.
Our pre-production testing continues, and we're excited to bring the latest Claude experience to our users.
#ClaudeFable5 #AI #Anthropic #Promptor #ARZE #PromptEngineer #Claude #Fable5
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🚀 Promptor in beta continues to evolve.
We’ve added AI usage tracking (tokens, models, projects).
OpenAI, Claude, Gemini, Mistral, Groq → everything is centralised.
Not a direct request from testers, but a key product decision.
#ARZE #PromptEngineer #PromptEngineering #AI
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Jun 8
#BuletinBernama: Kementerian Komunikasi akan membangunkan bakat 'Prompt Engineer' atau 'Jurutera Arahan' di setiap Pusat Sebaran Maklumat Nasional (NADI) di seluruh negara.
#digitalbernamatv #komunikasi #NADI #AI #promptengineer
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1. Temel Açıklama Promptu (En önemlisi)
"Bu sözleşmeyi bana sıradan biri gibi açıkla. Hukuki terimleri sadeleştir, tam olarak neyi kabul ettiğimi madde madde söyle."
Fotoğrafını çek ya da metni yapıştır → Karmaşık maddeler normal insan Türkçesine dönsün.
#PromptEngineer
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Completed a Prompt Engineering certification, mastering prompts to improve LLM outputs. Learned how small changes yield big results, boosting my ability to build AI employee solutions. Now applying these skills to real projects.
#AI #PromptEngineer #AIEmployees #Udemy
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Jun 1
Hiring AI Prompt Engineer & Video Editor
#PromptEngineer #VideoEditor #CapCut #Midjourney #FluxAI #Veo3 #GenerativeAI #AIVideo #IslamabadJobs #ContentCreator
obtainjob.com/2026/06/hiring…
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10 อาชีพใหม่ที่เพิ่งเกิดขึ้นในยุค AI — ที่ยังไม่มีหลักสูตรมาตรฐานรองรับครบทุกตำแหน่ง
📖 อ่านเต็ม: eduzones.com/2026/05/11/ai-5…
#AI #อาชีพอนาคต #PromptEngineer #RAG #AIJobs #เด็กมหาลัย #TechCareer #Eduzones
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May 13
I just had a 10-minute verbal debate with a PDF... and the PDF won. 🤯
We’ve officially hit the 'Black Mirror' stage of productivity. I’m no longer 'reading' documents; I’m interviewing them in a live podcast booth. If you’re still scrolling through whitepapers the old-fashioned way, you’re essentially working in the stone age.
Here’s how the new NotebookLM update just killed the 50-page PDF:
🧵"ud.hk/en/blogs/insight/artic…
1/5: The "Talk Back" Feature is Unreal 🎤
The viral "AI Podcast" hosts aren't just a recording anymore. In the new Interactive Mode, you can hit the 'Join' button mid-listen. I literally interrupted them to ask, "Wait, how does that data apply to my project?". They stopped, explained the specific section, and then jumped right back into the flow.
2/5: Deep Research = No More Outdated Info 🌐
Most AI tools only know what you upload, but the new Deep Research toggle changes everything. It allows NotebookLM to browse the live web to find information that didn't exist when your documents were written. It can bridge the gap between your static files and real-time news in seconds.
3/5: The Studio Panel is a Content Factory 🏗️
Once the "debate" is over, you don't just have notes; you have assets. The new Studio Panel lets you generate Bento Grid infographics, Mind Maps, and even Cinematic Video Overviews in a few clicks. I turned a boring research paper into a full visual presentation before my coffee even got cold.
4/5: Custom Personas & Tone Control 🧠
You can now customize the focus, length, and tone of your audio before generation. Need a brief for a busy executive?. Use a custom prompt to force the AI hosts to skip the fluff and lead with actionable findings. It even supports 80 different languages for global research.
5/5: The Verdict 🏆
This isn't just a "cool AI tool" anymore—it’s a paradigm shift in how we consume information. Whether you’re a student, a founder, or a researcher, the days of "manual reading" are numbered.
Have you tried the "Talk Back" feature yet? Or are you still doing it the hard way? 👇
Follow @AINestHub1
Like/retweet and comments 👇
#InteractiveAI#NotebookLM@PromptEngineer
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May 5
Hai mai sentito parlare di #promptengineer? Sai cosa fa l’AI ethicist?
Sul nuovo numero di #ScuolaeFormazione web, per la rubrica #GiovaniScienziateCrescono, Serena Aprano - studentessa di Ingegneria Informatica al Politecnico di Torino, ci guida nel nuovo mondo del #lavoro sempre più contaminato dall’#intelligenzaartificiale.
Figure professionali nuove, ibride, che uniscono competenze tecniche, etiche e comunicative e che stanno ridefinendo il panorama del mercato del lavoro. Una riflessione ottimista su come l’#AI stia trasformando non solo gli strumenti, ma anche ruoli, responsabilità e opportunità professionali oggi e nel prossimo futuro.
🔗 Leggi l’articolo completo: scuolaeformazione.net/giovan…
#CislScuola #scienza #innovazione #STEM #donnenellascienza
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Apr 29
I made the prompteasy.org platform OpenSource.
I really believe in the development of this platform and hope that the community and developers can create amazing projects with it.
github.com/ulrikds/OpenSourc…
#opensource #ai #prompt #promptengineer #algofam algorand:native
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Apr 21
Introducing Prompt Easy! 🚀 Better prompting means better AI results. We’ve made it easier than ever to create, edit, and manage your prompts in one central hub.
prompteasy.org
Master your workflow and get the most out of AI. 🛠️ #AI #PromptEngineer #PromptEasy $ALGO #IA
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Apr 16
Stop building agents. Build Skills." In 16 minutes they prove that the entire industry is solving the wrong problem.
Here's what most people didn't get:
→ Skills are folders. Literally folders with markdown files.
→ They teach Claude YOUR workflow, YOUR expertise, YOUR domain.
→ A single generic agent library of specific Skills outperforms dozens of specialized agents.
→ Fortune 100s are already deploying Skills at scale to teach agents about internal processes.
→ Productivity teams with 10,000 devs use Skills to standardize how code is written.
The analogy they used is perfect: Who do you want doing your taxes? The genius with a 300 IQ who's never seen tax legislation, or the experienced accountant who's been doing it for 20 years?
Intelligence without expertise is entertainment. Expertise packaged up is productivity.
What changed:
Anthropic stopped trying to create different agents for each domain. They realized that with Claude Code, the pattern is always the same. A model coupled to a runtime with filesystem.
The difference between a mediocre agent and an extraordinary one isn't the model. It's the domain knowledge you feed it.
Skills solve this with progressive disclosure. The agent only loads the skill's name and description. When relevant, it pulls the SKILL.md.
When it needs more, it navigates the reference files. Zero context waste. This isn't a feature. It's a paradigm shift.
Those who understand this now will operate on another level in 90 days. Those who ignore it will keep writing thousand-word prompts every time they open the chat.
And still have to explain over and over what they "really" want.
#AImarket #Claude #promptengineer
Apr 15
Dois engenheiros da Anthropic acabaram de mudar a forma como devs pensam sobre IA.
Barry Zhang e Mahesh Murag subiram no palco do AI Engineer Code Summit e disseram uma frase que incomodou muita gente:
"Parem de construir agentes. Construam Skills."
Em 16 minutos eles provam que a indústria inteira está resolvendo o problema errado.
Aqui está o que a maioria não entendeu:
→ Skills são pastas. Literalmente pastas com arquivos markdown.
→ Elas ensinam ao Claude o SEU fluxo de trabalho, a SUA expertise, o SEU domínio.
→ Um único agente genérico biblioteca de Skills específicas supera dezenas de agentes especializados.
→ Fortune 100s já estão deployando Skills em escala pra ensinar agentes sobre processos internos.
→ Times de produtividade com 10.000 devs usam Skills pra padronizar como código é escrito.
A analogia que eles usaram é perfeita:
Quem você quer fazendo seu imposto de renda? O gênio com QI 300 que nunca viu legislação tributária, ou o contador experiente que faz isso há 20 anos?
Inteligência sem expertise é entretenimento.
Expertise empacotada é produtividade.
O que mudou: a Anthropic parou de tentar criar agentes diferentes pra cada domínio.
Perceberam que com Claude Code, o padrão é sempre o mesmo. Um modelo acoplado a um runtime com filesystem.
A diferença entre um agente medíocre e um extraordinário não é o modelo. É o conhecimento de domínio que você alimenta.
Skills resolvem isso com progressive disclosure. O agente só carrega o nome e descrição da skill. Quando relevante, puxa o SKILL.md. Quando precisa de mais, navega os arquivos de referência. Zero desperdício de contexto.
Isso não é uma feature. É uma mudança de paradigma.
Quem entender isso agora vai operar em outro nível daqui a 90 dias.
Quem ignorar vai continuar escrevendo prompts de mil palavras toda vez que abrir o chat. E ainda explicar de novo e de novo o que “realmente” quer.
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