AI vaalla jobs potataayi ani fear undavachu — kaani correct ga upskill chesukunnavaallaki idi biggest opportunity. Ee masterclass lo AI Generalist ela avutamu, website ChatGPT + v0.dev tho ela build chestamu live ga chustamu.
Andariki oka common fear undi — AI vaalla naa job potatundi ani. Kaani reality enti? Microsoft report cheppatundi: AI ni effectively use chese professionals ki opportunities increase avutunnaayi. Ee masterclass lo adi understand chesukovadam, plus practical skills nerchukkovadam — rendu ayipotaayi.
McKinsey report cheppatundi: 88% companies already AI use chestunnaayi. 62% agentic AI tho experiments chestunnaayi. Idi ignore cheyyaleka poyye situation kadu.
Writing, translation, basic research, customer support scripting, data entry — ee tasks lo chala portion AI handle chestundi. Simple repetitive work ki demand thaggipotundi. Idi fact.
Surprising kaani true — manual labor kante white collar workers ki AI disruption ekkuva. Oka simple reason: document-based, research-based work idi AI ki easy. Physical work still needs humans.
AI oka engineer ni replace cheyyadu — kaani code review, documentation, basic bug fixing tasks ni automate chestundi. Adi nerchukuni oka engineer 3x productive avvachu. Upskill chestē opportunity, cheyyadhantē threat.
Specialist vs Generalist debate anni fields lo undi. AI era lo — AI Generalist oka special place teesukuntundi. Idi exactly emi?
Anni AI tools surface level kadu — how they work, limitations enti, when to use which — idi clearly telusukovalsi untundi.
500+ AI tools unnaayi market lo. Oka specific problem ki which tool best work chestundi ani decide cheyyatam — idi key skill.
Marketing + code + design + data — ivi combine chesukuni AI tho solve cheyyagalatē — adi AI Generalist power.
Startups ki oka person kavali — design chesi, code chesi, deploy chesi, data analyze chesi. AI tho idi possible ayindi. Adi person = AI Generalist.
AI integrate chesukune professionals 2-3x more productive, therefore 2-3x more valuable. Companies adi understand chesukunnaayi.
Before AI: oka problem solve cheyyataaniki 3 specialists kavali. Now: oka AI Generalist tho possible — faster, cheaper.
Oka consultancy website scratch nundi build chestamu — no code, no design skills needed. Oka PRD document create chesi v0.dev ki ichhaamu, website tayaru ayipoindi. Exact steps ivi:
First step — company ki brand colors decide cheyyatam, logo idea, company name, tagline. ChatGPT ki "oka consultancy ki brand kit create cheyyi" antē — colors, fonts, tone of voice anni suggest chestundi. Adi base ga use chestamu.
PRD — Product Requirements Document. ChatGPT tho oka detailed PRD rayyatam — website ki exact pages emi kavali, every page lo emi content undali, color scheme enti, tone enti — anni specify chesi oka proper document create cheyyatam. Idi key step.
v0.dev open chesi, aa PRD document paste cheyatam. v0.dev — Vercel company build chesina AI tool — React components generate chestundi. Oka click lo complete landing page tayaru. Header, hero, features, testimonials — anni come chestayi.
v0.dev lo generate ayina components review chesi, tweak cheyyatam possible. "Ee section lo color change cheyyi", "ikkade testimonials add cheyyi" — chat tho update cheyyachu. Ready ayithe Vercel ki direct deploy — live website in minutes.
ChatGPT ni "please do this" antē generic response vastundi. Kaani proper context, clear requirements document ichi "build this" antē — exactly adi build chestundi. PRD approach idi ane concept — AI ki better instructions = better output.
Open Claw (Claude Board) — idi oka open source AI agent. Meeru computer lo install chesthe, adi files read chestundi, browser control chestundi, tasks automate chestundi. Exactly ela use chestamu?
Open Claw GitHub page ki velli, Windows installer download chestamu. Install chesthe desktop application open avutundi. Claude API key connect cheyyatam — adi link chestamu. Ready.
Open Claw ki "ee file open cheyyi", "browser lo idi search cheyyi", "screenshot teesukoni idi rayu" — ala computer tasks delegate cheyyachu. Files create chesukogalatundi, browser operate chesukogalatundi.
Oka repetitive task — daily reports generate cheyyatam, files organize cheyyatam, data extract cheyyatam — idi Open Claw ki delegate cheyyachu. Agent run avutundi background lo — meeru vere pani chestunte.
Ee masterclass lo chusina concepts ivi starting point matrame. Cohort lo depth ga nerchukuntaru — live sessions, projects, mentor reviews anni tho.
Limited seats · Payment plans available · Starts May 20, 2026
LLMs ela work chestaayi, prompt engineering strategies, chain-of-thought, few-shot prompting — ivi systematic ga nerchukuntaru.
Apne documents meeda AI build cheyyatam — chunking, embeddings, retrieval, re-ranking. Production-ready RAG system build chestaru.
LangGraph, ReAct, state machines. Agents build cheyyatam, hallucination minimize cheyyatam, multi-step tasks automate cheyyatam.
Evals framework, observability, monitoring. AI apps production lo ela maintain cheyyali, failures detect cheyyali, scale cheyyali.
Ee video lo chusina concepts just beginning — cohort lo complete AI engineer ga transform avutaru. ₹15,000 tho (40% off) join cheyyavachu.
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