Sonia Tafsin @Tech_Tafsin - Twitter Profile

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Sonia Tafsin @Tech_Tafsin

about 7 hours ago

🤯 110 Mind-Blowing AI Tools 🚀 •💡 Chat • ✍️ Create • 🎨 Design • 🎬 Build • 📈 Grow Follow me : @TachTafsin

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Tech_Tafsin retweeted

Arish Ai

@Tech_Arish

about 5 hours ago

Testosterone & How to boost it

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Tech_Tafsin retweeted

Jack

@Tech_Rose1

about 5 hours ago

Most people think building an AI agent starts with choosing an LLM. In 2026, that's only a small piece of the puzzle. 🧩 The real power comes from the ecosystem surrounding the model. Here’s a simple framework for building production-grade AI agents: 🔹 1. Define the Mission Before prompts or code: • What problem are you solving? • Who are the users? • What are the limitations? • How will success be measured? A clear objective saves months of wasted development. 🔹 2. Design the Agent's Brain The system prompt acts as the operating manual. It should clearly define: • identity • responsibilities • goals • boundaries • safety rules 🔹 3. Select the Best Model Every model has strengths. • GPT-5.5 → strong tool usage & versatility • Claude → deep reasoning & long context • Perplexity → web research & source-backed answers The smartest choice depends on the job. 🔹 4. Connect Tools Without tools, AI can only talk. With APIs, databases, MCP servers, and external services, agents can actually perform actions and automate work. 🔹 5. Add Memory Memory transforms interactions. Instead of restarting every conversation, the agent can: • remember context • store knowledge • track user preferences • learn from previous tasks 🔹 6. Build Orchestration This is where real AI systems are created. Routing, workflows, retries, triggers, task delegation, and multi-agent collaboration keep everything running smoothly. 🔹 7. Focus on Experience Users don't judge models. They judge products. Whether it's a chat interface, dashboard, API, or Slack assistant, great UX creates adoption. 🔹 8. Evaluate Continuously Monitor: • accuracy • reliability • latency • cost • hallucinations What isn't measured can't be improved. 🚀 The future of AI engineering is not just prompting. It's the combination of: Software Engineering + AI Systems + Automation + Product Design. The builders who master memory, orchestration, integrations, and evaluation will shape the next generation of AI products. Bookmark this framework—it’s a practical roadmap for building AI agents in 2026. Follow @Tech_Rose1 for more AI engineering insights, workflows, and agent-building strategies.

Tech_Rose1's tweet photo. Most people think building an AI agent starts with choosing an LLM.

In 2026, that's only a small piece of the puzzle. 🧩

The real power comes from the ecosystem surrounding the model.

Here’s a simple framework for building production-grade AI agents:

🔹 1. Define the Mission Before prompts or code: • What problem are you solving? • Who are the users? • What are the limitations? • How will success be measured?

A clear objective saves months of wasted development.

🔹 2. Design the Agent's Brain The system prompt acts as the operating manual. It should clearly define: • identity • responsibilities • goals • boundaries • safety rules

🔹 3. Select the Best Model Every model has strengths.

• GPT-5.5 → strong tool usage & versatility • Claude → deep reasoning & long context • Perplexity → web research & source-backed answers

The smartest choice depends on the job.

🔹 4. Connect Tools Without tools, AI can only talk.

With APIs, databases, MCP servers, and external services, agents can actually perform actions and automate work.

🔹 5. Add Memory Memory transforms interactions.

Instead of restarting every conversation, the agent can: • remember context • store knowledge • track user preferences • learn from previous tasks

🔹 6. Build Orchestration This is where real AI systems are created.

Routing, workflows, retries, triggers, task delegation, and multi-agent collaboration keep everything running smoothly.

🔹 7. Focus on Experience Users don't judge models. They judge products.

Whether it's a chat interface, dashboard, API, or Slack assistant, great UX creates adoption.

🔹 8. Evaluate Continuously Monitor: • accuracy • reliability • latency • cost • hallucinations

What isn't measured can't be improved.

🚀 The future of AI engineering is not just prompting.

It's the combination of: Software Engineering + AI Systems + Automation + Product Design.

The builders who master memory, orchestration, integrations, and evaluation will shape the next generation of AI products.

Bookmark this framework—it’s a practical roadmap for building AI agents in 2026.

Follow @Tech_Rose1 for more AI engineering insights, workflows, and agent-building strategies.

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Tech_Tafsin retweeted

Rakib Hossen

@rakib_md007

about 5 hours ago

Everyone is talking about AI tools. Very few people are building AI agents. With Claude, you can create AI agents that... • Research for you • Write content • Analyze files • Automate tasks • Save hours every week Here’s the simple process... Define the goal Give clear instructions Connect tools Test the output Improve the prompts The better your instructions, the smarter your AI agent becomes. This cheat sheet will help you get started. Follow @rakib_md007 for more AI content, cheat sheets & growth tips.

rakib_md007's tweet photo. Everyone is talking about AI tools.

Very few people are building AI agents.

With Claude, you can create AI agents that...

• Research for you
• Write content
• Analyze files
• Automate tasks
• Save hours every week

Here’s the simple process...

Define the goal
Give clear instructions
Connect tools
Test the output
Improve the prompts

The better your instructions, the smarter your AI agent becomes.

This cheat sheet will help you get started.

Follow
@rakib_md007
for more AI content, cheat sheets & growth tips.

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MD Riad Khan

@RiadMd46702

about 5 hours ago

Best Open Source Android Apps @RiadMd46702

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Girl In AI

@girlinAI

about 5 hours ago

The workflow is simple: AI Model → First Frame → Guide Image → Prompt → Video One process. Consistent results. Professional-looking AI content. 🚀 Try it FREE now: https://t.co/3TwkebAsTC

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Tech_Tafsin retweeted

Ryan @Ryan_TechX

about 6 hours ago

Drop your answers below! 👇 Follow @Ryan_TechX for more!

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Sam Gelish @Rubab59f

about 6 hours ago

NOTEBOOKLM + CHATGPT IS ACTUALLY INSANE!! NotebookLM turns your sources into research you can actually trust. Then ChatGPT turns that research into posts, scripts, visuals, content plans, and repeatable workflows. #AI_Art #AI_Genareted #AI_Creation

Rubab59f's tweet photo. NOTEBOOKLM + CHATGPT IS ACTUALLY INSANE!!

NotebookLM turns your sources into research you can actually trust.

Then ChatGPT turns that research into posts, scripts, visuals, content plans, and repeatable workflows.
#AI_Art #AI_Genareted #AI_Creation https://t.co/sGgBbefqxZ

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Raza Hammad

@HammadRazaAi

about 8 hours ago

GOODBYE, ANALYSTS. GOODBYE, WALL STREET. No more $99/month subscriptions. ChatGPT just turned my laptop into a real-time stock scanner. Here are 10 prompts to do it yourself ↓

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Tech_Tafsin retweeted

Elsa Ai

@ElsaSofia__AI

about 6 hours ago

Breaking: Your smart TV takes a screenshot of your screen twice every second and sells what it sees. It is called ACR, and it has been running since you set the TV up. Texas already sued over it. Here is how to turn it off in under 2 minutes:

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Tech_Tafsin retweeted

MursLa Ai @MurslaF72964

about 8 hours ago

NVIDIA JUST PICKED A SMALL-CAP QUANTUM COMPANY TO PLUG DIRECTLY INTO THEIR AI STACK, AND MOST INVESTORS DO NOT KNOW THE NAME YET. HERE IT IS:

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AI Updates X @AIUpdatesX

about 6 hours ago

🔥 99% Users Don't Know These Codes!

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Sonia Tafsin @Tech_Tafsin

about 7 hours ago

@Sia_TechAi DEV

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Sia

@Sia_TechAi

about 15 hours ago

30 best YouTube courses to learn in 2026 🎓 From beginner → advanced (all free): ❯ Python https://t.co/w27pZg1ypY… ❯ JavaScript https://t.co/w27pZg1ypY… ❯ SQL https://t.co/w27pZg1ypY… ❯ Java https://t.co/w27pZg1ypY… ❯ Go https://t.co/w27pZg1ypY… ❯ Rust https://t.co/w27pZg1ypY… ❯ C https://t.co/w27pZg1ypY… ❯ C++ https://t.co/w27pZg1ypY… ❯ C# https://t.co/w27pZg1ypY… ❯ PHP https://t.co/w27pZg1ypY… ❯ HTML/CSS https://t.co/w27pZg1ypY… ❯ React https://t.co/w27pZg1ypY… ❯ Next.js https://t.co/w27pZg1ypY… ❯ Node.js https://t.co/w27pZg1ypY… ❯ Express.js https://t.co/w27pZg1ypY… ❯ Django https://t.co/w27pZg1ypY… ❯ Swift https://t.co/w27pZg1ypY… ❯ Kotlin https://t.co/w27pZg1ypY… ❯ Dart https://t.co/w27pZg1ypY… ❯ TypeScript https://t.co/w27pZg1ypY… ❯ Ruby https://t.co/w27pZg1ypY… ❯ Scala https://t.co/w27pZg1ypY… ❯ R https://t.co/w27pZg1ypY… ❯ Julia https://t.co/w27pZg1ypY… ❯ MATLAB https://t.co/w27pZg1ypY… ❯ Lua https://t.co/w27pZg1ypY… ❯ Pascal https://t.co/w27pZg1ypY… ❯ Assembly https://t.co/w27pZg1ypY… ❯ Bash https://t.co/w27pZg1ypY… ❯ DSA https://t.co/w27pZg1ypY… Everything you need to start + level up in tech - in one thread. 🔖 Bookmark this 🔁 RT to help someone learn 💬 Comment “DEV” if you want a roadmap ✅ Follow me @Sia_TechAi for more free resources.