🚨 Anthropic just dropped a 31-page prompting guide.
I distilled it into 9 practical prompt tips you can learn in under 60 seconds:
1️⃣ Name the output, not the task.
❌ "Review this" ✅ "Create a risk assessment table"
Be specific about what you want delivered.
2️⃣ Define the length upfront.
• Set word counts • Specify bullet counts • Add: "No filler. No recap. No preamble."
Constraints improve outputs.
3️⃣ Replace negatives with positives.
❌ "Don't be verbose" ✅ "Be concise and direct"
Tell AI what to do, not what to avoid.
4️⃣ Start with action verbs.
Skip: "Can you help me..."
Use: • Write • Draft • Analyze • Summarize
Clear instructions get faster results.
5️⃣ Trigger deeper reasoning.
End prompts with:
"Think before answering."
Better thinking often leads to better outputs.
6️⃣ Push beyond default quality.
Add:
"Go beyond the basics." "Polish this like a client-ready deliverable."
Raise the standard.
7️⃣ Teach AI your voice.
Provide 2–3 writing samples and say:
"Match the style of these examples."
Consistency compounds.
8️⃣ Control tool usage.
For research: "Use search and cite sources."
For speed: "Answer from training data only."
Be intentional.
9️⃣ State the goal first.
Start with:
Goal: [desired outcome]
Then define the audience and task.
A clear goal turns a prompt into a plan.
🔖 Save this for your next AI session. ♻️ Repost to help others write better prompts.
@NusratJaha07
Gemini Omni Flash is now live in OpenArt. 📺
• Edit videos through natural conversation
• Grounded in real-world knowledge - physics, history, science
• Reference images, text, video, or audio to build one cohesive scene
Create anything from anything.
🚨 Everyone is rushing to learn AI.
Very few are learning how to become AI Engineers.
That's the difference that will shape careers in 2026.
Watching tutorials is easy.
Building real AI systems is what creates opportunities.
A practical AI Engineering roadmap:
• Master Python, APIs & Linux
• Learn math, probability & statistics
• Build a strong Machine Learning foundation
• Understand Transformers & LLMs
• Work with RAG, embeddings & vector databases
• Learn LangChain, FastAPI, Docker & Kubernetes
• Build scalable AI data pipelines
• Design multi-agent systems
• Master evaluations, observability & guardrails
• Focus on AI security, safety & product thinking
Here's the mindset shift most people miss:
Prompt Engineering is a skill.
AI Engineering is a profession.
The next generation of AI engineers won't just write prompts.
They'll know how to:
✅ Build AI-powered products
✅ Deploy production-ready systems
✅ Scale applications with confidence
✅ Measure and improve model performance
✅ Secure AI applications
✅ Optimize complete AI workflows
The AI job market won't reward the people who know the most prompts.
It will reward the people who can build, ship, and maintain systems that solve real problems.
📌 Save this roadmap for your learning journey.
♻️ Repost it to help someone break into AI Engineering.
Follow for practical AI Engineering tips, tools, and resources every week.
🚨BREAKING NEWS: Most people are sleeping on Claude for stock trading.
Here are 10 powerful Claude prompts for stock analysis, buying, selling, and smarter investing decisions.
Bookmark this 🔖- it may come in useful sooner than you think.
Gemini Omni Flash and Nano Banana 2 Lite are now live in OpenArt. 📺
Create, edit, and iterate with Google's latest models - all in one place.
⚡ Nano Banana 2 Lite: 4-second image generation
🎬 Omni Flash: conversational video editing, no timeline required
Try them now 👇