๐จ Anthropic just dropped a 31-page prompting guide.
I distilled it into 9 practical prompt tips you can learn in under 60 seconds:
1๏ธโฃ Name the output, not the task.
โ "Review this" โ "Create a risk assessment table"
Be specific about what you want delivered.
2๏ธโฃ Define the length upfront.
โข Set word counts โข Specify bullet counts โข Add: "No filler. No recap. No preamble."
Constraints improve outputs.
3๏ธโฃ Replace negatives with positives.
โ "Don't be verbose" โ "Be concise and direct"
Tell AI what to do, not what to avoid.
4๏ธโฃ Start with action verbs.
Skip: "Can you help me..."
Use: โข Write โข Draft โข Analyze โข Summarize
Clear instructions get faster results.
5๏ธโฃ Trigger deeper reasoning.
End prompts with:
"Think before answering."
Better thinking often leads to better outputs.
6๏ธโฃ Push beyond default quality.
Add:
"Go beyond the basics." "Polish this like a client-ready deliverable."
Raise the standard.
7๏ธโฃ Teach AI your voice.
Provide 2โ3 writing samples and say:
"Match the style of these examples."
Consistency compounds.
8๏ธโฃ Control tool usage.
For research: "Use search and cite sources."
For speed: "Answer from training data only."
Be intentional.
9๏ธโฃ State the goal first.
Start with:
Goal: [desired outcome]
Then define the audience and task.
A clear goal turns a prompt into a plan.
๐ Save this for your next AI session. โป๏ธ Repost to help others write better prompts.
@NusratJaha07
Gemini Omni Flash is now live in OpenArt. ๐บ
โข Edit videos through natural conversation
โข Grounded in real-world knowledge - physics, history, science
โข Reference images, text, video, or audio to build one cohesive scene
Create anything from anything.
๐จ 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:
โข Master Python, APIs & Linux
โข Learn math, probability & statistics
โข Build a strong Machine Learning foundation
โข Understand Transformers & LLMs
โข Work with RAG, embeddings & vector databases
โข Learn LangChain, FastAPI, Docker & Kubernetes
โข Build scalable AI data pipelines
โข Design multi-agent systems
โข Master evaluations, observability & guardrails
โข 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:
โ Build AI-powered products
โ Deploy production-ready systems
โ Scale applications with confidence
โ Measure and improve model performance
โ Secure AI applications
โ 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.
๐ Save this roadmap for your learning journey.
โป๏ธ Repost it to help someone break into AI Engineering.
Follow for practical AI Engineering tips, tools, and resources every week.
๐จBREAKING 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 ๐- it may come in useful sooner than you think.
Gemini Omni Flash and Nano Banana 2 Lite are now live in OpenArt. ๐บ
Create, edit, and iterate with Google's latest models - all in one place.
โก Nano Banana 2 Lite: 4-second image generation
๐ฌ Omni Flash: conversational video editing, no timeline required
Try them now ๐