Kumud Deepali Rudraraju

Kumud Deepali RudrarajuNov 3, 2026

Everyone is talking about agentic AI. Very few people have had time to unpack what it actually is. Models. Inference. Orchestration. Retrieval. Evaluation. Observability. Coding agents. Post-training. Most teams need several of these pieces before an agent becomes a production system. And starting every project from a blank repo means rebuilding the same plumbing again and again. That’s why it helps to see the whole stack in one place, so you can start from a clear structure, combine tools across each layer, and replace individual components as your needs change. Think of the cheatsheet below as the map. Perceive → Reason → Plan → Act → Collaborate → Evaluate → Improve. 𝗧𝗵𝗲 𝘀𝘁𝗮𝗰𝗸 𝘀𝗽𝗮𝗻𝘀: 𝗢𝗽𝗲𝗻 𝗮𝗻𝗱 𝗽𝗿𝗼𝗽𝗿𝗶𝗲𝘁𝗮𝗿𝘆 𝗺𝗼𝗱𝗲𝗹𝘀: the brain of the agent 𝗜𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲: how the model runs in production 𝗔𝗴𝗲𝗻𝘁 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: orchestration and workflows 𝗦𝗲𝗮𝗿𝗰𝗵 𝗮𝗻𝗱 𝗿𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹: real-time information and grounding 𝗖𝗼𝗱𝗶𝗻𝗴 𝗮𝗴𝗲𝗻𝘁𝘀: agents that write and run code 𝗔𝗴𝗲𝗻𝘁 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲: tools, integrations, and triggers 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗼𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆: tracing, debugging, and testing 𝗣𝗼𝘀𝘁-𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗮𝗻𝗱 𝗥𝗟: making agents smarter over time One example: an agent can run an open model, retrieve current information through a search tool, orchestrate workflows with a framework, and evaluate performance with observability and human review. Different tools. One system. The choices stay with the builder. 𝗛𝗲𝗿𝗲’𝘀 𝗲𝘅𝗮𝗰𝘁𝗹𝘆 𝘄𝗵𝗮𝘁 𝘁𝗵𝗲 𝗰𝗵𝗲𝗮𝘁𝘀𝗵𝗲𝗲𝘁 𝗰𝗼𝘃𝗲𝗿𝘀: 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝗯𝗮𝘀𝗶𝗰𝘀: what it is and how it differs from a chatbot 𝗖𝗼𝗺𝗽𝗼𝗻𝗲𝗻𝘁𝘀: LLM, memory, tools, planning, reasoning, autonomy 𝗧𝗼𝗼𝗹𝘀: frameworks, vector databases, and memory stores 𝗕𝘂𝗶𝗹𝗱 & 𝗧𝗲𝘀𝘁: environment, workflows, and debugging 𝗗𝗲𝗽𝗹𝗼𝘆: APIs, triggers, scheduling, and containers 𝗠𝗼𝗻𝗶𝘁𝗼𝗿: logs, errors, alerts, and feedback 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗲: prompt tuning, latency, and A/B testing 𝗦𝗰𝗮𝗹𝗲: multi-agent systems, load balancing, and governance Plus the agent loop, 7 evaluation metrics, common mistakes, and a level-up path from Learn to Scale. The next generation of AI builders won’t just know how to call a model, they’ll know how to build what’s around it. What part of the agentic AI stack are you experimenting with right now? Reshare with your LinkedIn network for anyone learning, experimenting, or simply trying to keep up with where AI is headed. Subscribe to The Incredible Edge free, and get more AI resources plus hidden job opportunities delivered to your inbox → https://lnkd.in/e-r-zfrQ

Kumud Deepali RudrarajuNov 4, 2026

Our team voted for an employee of the month. The winner is an AI employee who gives us back 11 hours every week, and nobody argued with the vote. I run a social media, recruitment agency and write a newsletter Incredible Edge on AI and careers. Behind every client post sits a call nobody has time to rewatch and an invoice nobody wants to chase. So we gave those jobs to Viktor, who works in our Slack. His first try at each one was poor. My strategist showed him a post we liked. My account manager showed him a message that got an invoice paid. I told him what I wanted from my news briefing: what each story changes for my readers. After that, he took over three jobs: → turns client calls into post drafts → follows up on late payments and writes the messages for us to review → sends me an AI news briefing before I sit down to write He proposes. Our editor and account manager approve anything that goes out. The trophy is a joke. The 11 hours are real. Got jobs nobody wants on your team? Hire viktor.com and start free. The link is in the first comment. #AIemployee Paid Partnership

Kumud Deepali RudrarajuNov 3, 2026

Your resume tells people where you've worked. But does it show what you can actually do? As a recruiter and AI content creator, I see an opportunity to present our work beyond a traditional resume. I already have a pitch deck that I share with startups to explain the work I support them with. I wanted to see how easily I could transform that deck into a visual portfolio using Gamma 5. With one prompt, I could change how my work was presented. And with one click in Styles, I could switch the colors, fonts, and entire look of the deck. I also tested importing an existing deck as a style reference. The new slides followed its colors, typography, and spacing without requiring me to recreate the design. This is where I see a bigger opportunity for job seekers and professionals. A resume highlights your experience. A portfolio deck can demonstrate your projects, skills, approach, and the value you bring. Whether you're applying for a job, pitching your services to a startup, or building your personal brand, how you present your work can make a difference. A few other Gamma 5 features that fit this portfolio workflow: → The Agent: Turn a rough idea into a structured outline before creating slides, so your portfolio has a clear story before you design anything. → Flexible layouts: Move content blocks and the layout adjusts automatically, so adding a new project takes minutes. → Import & export: Work with existing PowerPoints and PDFs while preserving formatting, so the portfolio you send looks the way you built it. → Connected tools: Bring in content from Notion, Slack, and other platforms, so your project notes and results can go straight into your portfolio without digging through old files. Everything you've made in Gamma before also stays in your account, so past decks can become portfolio pieces. When you have tools such as Gamma you don't need to start from scratch to create a stronger presentation of your work. Explore Gamma 5 for FREE: gamma.app Would you consider adding a portfolio deck alongside your resume when applying for your next opportunity?