#Agentic

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#Agentic Reel by @wdf_ai - Agentic AI is the most in-demand skill of 2026. 3 free resources that actually work - HuggingFace, Google ADK, LangChain Academy. Comment "AGENT" a
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@wdf_ai
Agentic AI is the most in-demand skill of 2026. 3 free resources that actually work — HuggingFace, Google ADK, LangChain Academy. Comment “AGENT” and I’ll DM you all the links. #agenticai #llm #aiengineering #langchain #indiandeveloper
#Agentic Reel by @realrobertgutierrez (verified account) - Are you excited about the agentic shift? NVIDIA just launched NemoClaw, basically a safer OpenClaw. They built the trust layer that will sky rocket a
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@realrobertgutierrez
Are you excited about the agentic shift? NVIDIA just launched NemoClaw, basically a safer OpenClaw. They built the trust layer that will sky rocket acceleration for agents over the coming months. #ai #tech #startups Robert G
#Agentic Reel by @uncover.ai - Eric Schmidt believes the AI gold rush is shifting away from model building and infrastructure toward execution. Training frontier models now require
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@uncover.ai
Eric Schmidt believes the AI gold rush is shifting away from model building and infrastructure toward execution. Training frontier models now requires massive capital, energy, and compute, a game already dominated by a few players. But models alone do not create value. The real opportunity is in agentic companies that use AI to actually perform work end to end, handling tasks, decisions, and outcomes inside real businesses. This is where revenue is created and where founders can still win. 👉 Follow @uncover.ai to stay updated with the latest AI news — Media: Forbes
#Agentic Reel by @jessramosdata (verified account) - comment "data" for full YouTube tutorial on how I built a LinkedIn Data Analyst AI Agent in 6 MIN! 84% of people have NEVER used AI. What level are y
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@jessramosdata
comment “data” for full YouTube tutorial on how I built a LinkedIn Data Analyst AI Agent in 6 MIN! 84% of people have NEVER used AI. What level are you on?? Level 1 LLMs (You prompt, it responds): Claude, Gemini, and ChatGPT are fluent in language tasks, but they only predict based on your input. They don’t have awareness once you close down the chat window. Level 2 Agents (It works alongside you): Cursor, Zapier AI Agents, n8n, GitHub Copilot, and Claude Code. These combine a language model with real tools like browsers (Notion, Google Sheets, Slack, and more). You’re no longer in every loop. Level 3 Agentic AI (It works without you): ManusAI, Gemini Deep Research, Claude Research. These run in a continuous loop. One prompt, full output with no hand-holding required. Agents are reactive to your process, while agentic systems are autonomous. That distinction changes what’s actually possible!
#Agentic Reel by @fellowtechiebuddy - Agentic AI is the hottest space in tech right now. Companies are hiring like crazy. But most candidates can't even explain the basics. 1. Tool Use /
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@fellowtechiebuddy
Agentic AI is the hottest space in tech right now. Companies are hiring like crazy. But most candidates can’t even explain the basics. 1. Tool Use / Function Calling: Letting the agent use external tools like APIs, search, or databases to take real actions. 2. ReAct Pattern: The agent thinks (reasons) first, then acts, then observes the result, and repeats. 3. Multi-Agent Orchestration: Multiple agents working together, each handling a different part of the task. 4. Human-in-the-Loop: A human reviews or approves the agent’s action before it actually executes. 5. Agent Memory (Short-term vs Long-term): Short-term is the current conversation context. Long-term is what the agent remembers across sessions. 6. Guardrails & Safety Layers: Rules and checks that stop the agent from doing something harmful or going off track. 7. Planning & Task Decomposition: Breaking a big complex task into smaller steps the agent can handle one by one. 8. MCP (Model Context Protocol): A standard way for agents to connect with external tools and data sources. 9. A2A (Agent-to-Agent Protocol): A standard way for agents built by different teams or companies to talk to each other. 10. Agent Evaluation & Benchmarking: Testing how well your agent actually performs on real tasks, not just vibes. 11. Reflection & Self-Correction: The agent looks at its own output, realizes it made a mistake, and fixes it. 12. Context Window Management: Smartly managing what information fits inside the model’s limited input window. 13. Retrieval Augmented Generation (RAG): Pulling relevant info from external documents and feeding it to the model before it responds. 14. Agent Handoffs & Routing: Passing the task from one agent to another based on what the task needs. 15. Observability & Tracing: Tracking every step the agent took so you can debug when things go wrong.​​​​​​​​​​​​​​​​ Save this for your interview prep. You’ll thank me later. Follow along for more! [ai, tech, GenAI, ChatGPT, interviewprep, career, agents, LLMs, OpenAI, anthropic, job search, agentic AI, machine learning, AI] #tech #ai #genai #explore #career
#Agentic Reel by @leadgenman (verified account) - Claude Code + Ollama = Free Forever Learn how to install Ollama, download recommended models like Qwen3-Coder, GPT-OSS, and GLM 4.7 Flash, and config
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@leadgenman
Claude Code + Ollama = Free Forever Learn how to install Ollama, download recommended models like Qwen3-Coder, GPT-OSS, and GLM 4.7 Flash, and configure Claude Code to use local LLMs. Perfect for vibe coding and agentic coding on consumer grade hardware with full access to Claude Code features like subagents, MCP servers, and slash commands. Comment “Code” for the full guide.
#Agentic Reel by @activeprogrammer - There's a new phrase emerging inside the AI builder community: Agentic Engineering. Not vibe coding. Not random prompting. Actually designing systems
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@activeprogrammer
There’s a new phrase emerging inside the AI builder community: Agentic Engineering. Not vibe coding. Not random prompting. Actually designing systems that can think, act, and execute tasks. Peter Steinberger — creator of OpenClaw — calls “vibe coding” the trap many people fall into when they first touch AI. It feels fast. It feels magical. But without structure, it leads to messy workflows and regret the next morning. Agentic engineering is different. It’s about building AI agents intentionally — with logic, guardrails, and purpose — not just improvising prompts. We’re moving from playing with AI to engineering with AI. And that shift is where real companies — and real value — will be created. --- Are you still vibe coding… or already building agents? Drop your take below — where do you see this going? --- FOLLOW @activeprogrammer to learn something new every day! #AgenticAI #AIEngineering #BuildWithAI #FutureOfWork #AIInfrastructure 🎥: @lexfridman
#Agentic Reel by @mavenhq (verified account) - How to learn Agentic AI #maven #ai #llms #agenticai
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@mavenhq
How to learn Agentic AI #maven #ai #llms #agenticai
#Agentic Reel by @swarnima.ai (verified account) - Top 3 highest paid Agentic AI skills for 2026. No coding or tech degree needed. #ai #careers #career #artificialintelligence
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@swarnima.ai
Top 3 highest paid Agentic AI skills for 2026. No coding or tech degree needed. #ai #careers #career #artificialintelligence
#Agentic Reel by @coding_with_deepa - Java Developer → Agentic AI Engineer (Complete Roadmap) Most Java devs stop at calling ChatGPT APIs. That's NOT Agentic AI. Comment "Link" for the p
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@coding_with_deepa
Java Developer → Agentic AI Engineer (Complete Roadmap) Most Java devs stop at calling ChatGPT APIs. That’s NOT Agentic AI. Comment "Link" for the perfect resource to learn from Zero to Hero Agentic AI. Here’s the real path 👇 1️⃣ Core Java stays (huge advantage) Concurrency • Spring Boot • System Design 2️⃣ AI basics (no heavy math) AI vs ML vs DL • LLMs • Transformers 3️⃣ Python (only what’s needed) Scripts • NumPy • Pandas • Requests 4️⃣ LLM fundamentals Tokens • Prompting • Context window • Hallucinations 5️⃣ Java + LLM integration Spring Boot APIs • Streaming • Cost optimization 6️⃣ Agentic AI core Goal → Plan → Act → Observe → Reflect 7️⃣ Tools & Memory (RAG) Embeddings • Vector DBs • Knowledge retrieval 8️⃣ Agent frameworks LangChain(Most Enterprise Ready) • AutoGen • CrewAI 9️⃣ Multi-agent systems Manager • Worker • Critic agents 🔟 Production-ready AI Guardrails • Monitoring • Security • Cost control 💡 Agentic AI = Distributed Systems + LLMs 💡 Java devs already know HALF of this Save this 📌 Share with your Java gang ☕ Comment "Link" for the perfect resource to learn from Zero to Hero Agentic AI. #systemdesign #engineers #developers #softwareengineering #genai [coding, system design, agentic ai, genAI , developers, software engineer, coders, java]
#Agentic Reel by @erinmerylstudy (verified account) - The 2026 word of the year will be agentic - I am calling it now! #studygram #learning #agency
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@erinmerylstudy
The 2026 word of the year will be agentic - I am calling it now! #studygram #learning #agency
#Agentic Reel by @john_lee_official (verified account) - There are 5 stages of AI. Most people only know the first two. 1️⃣ Large Language Models 2️⃣ Agentic AI 3️⃣ Multi-agent systems 4️⃣ AGI (human-level
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@john_lee_official
There are 5 stages of AI. Most people only know the first two. 1️⃣ Large Language Models 2️⃣ Agentic AI 3️⃣ Multi-agent systems 4️⃣ AGI (human-level reasoning) 5️⃣ Superintelligence We’re still early. But things are moving fast. Understanding this will change how you think about business, skills, and the future. Comment AI if you want to go deeper.

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