Kashish Kathuria

How to use Claude to start a business (Follow me @Kashish3097)

TECH JOBS THAT AI CAN’T REPLACE EASILY 🚀 1. AI Engineer 2. Machine Learning Engineer 3. Cybersecurity Engineer 4. DevOps Engineer 5. Cloud Architect 6. Site Reliability Engineer 7. Data Engineer 8. Robotics Engineer 9. Hardware Engineer 10. Systems Architect 11. AI Infrastructure Engineer 12. MLOps Engineer 13. Platform Engineer 14. Embedded Systems Engineer

Building an AI Agent in 2026 is no longer just about picking an LLM. The real magic happens in the system around the model. 🤖 This roadmap perfectly breaks down how modern AI agents are actually built from scratch. 👇 A production-ready AI agent needs 8 core layers: 1️⃣ Define the Purpose Before writing prompts, define: • use case • user needs • constraints • success metrics Most AI projects fail because this step is skipped. 2️⃣ System Prompt Design Prompts are becoming operating systems for agents. A strong system prompt defines: • role/persona • goals • instructions • safety guardrails 3️⃣ Choose the Right LLM Different models = different strengths. • GPT-5.5 → versatility & tool usage • Claude → reasoning & long context • Perplexity → research & citations There’s no “best model.” Only the best model for the task. 4️⃣ Tools & Integrations This is where AI becomes actionable. Agents connected to: • APIs • MCP servers • databases • custom tools • external apps Can actually execute workflows instead of just generating text. 5️⃣ Memory Systems Memory is the difference between: “a chatbot” and “an intelligent assistant.” Modern agents use: • working memory • vector databases • structured storage • episodic memory 6️⃣ Orchestration This is the hidden layer most people ignore. Workflows, triggers, queues, retries, routing, multi-agent coordination… This is what turns prompts into systems. 7️⃣ User Interface The best AI products win on UX, not just intelligence. Chat apps, APIs, Slack bots, dashboards - interface matters. 8️⃣ Testing & Evaluations If you don’t measure quality, latency, reliability & hallucinations… your AI product will eventually break at scale. The biggest takeaway? AI Engineering is rapidly becoming a combination of: Software Engineering + Prompting + Systems Design + Automation. The engineers who understand orchestration, memory, tools & workflows will dominate the next decade of AI products. Save this roadmap. This is basically the blueprint for building AI agents in 2026. 🚀 Follow @kashish3097 for more AI engineering breakdowns, prompts, workflows & agent architectures.

@vodafoneservice @VodafoneIN @VodafoneGroup I am a regular customer of vodafone. But this time, they deduct money to increase my validity without my request. Had a word with Sheela (customer care). I asked her to transfer call to senior and she cut the call. Change your tagline.