Career
10 min read
Freshers searching hard and widely are exactly who recruitment scammers target in India: registration fees, fake offer letters, task-based work-from-home schemes, identity theft and dangerous overseas job offers. This article lists the warning signs, a five-step verification routine, what to share and when, how AI can help you triage without confirming anything, and what to do quickly if you have already paid or shared documents.
Career
10 min read
Startups that have just raised money often hire in the following weeks and months, sometimes before any job is posted. This article shows how to follow funding news in India, filter it with AI from the text you paste, check each company in two minutes, spot founders and engineers posting about hiring, and write a short, respectful message that is about their work, not your need.
Career
10 min read
Applying in the first days after a role is posted puts you in front of a recruiter before the pile grows. This article sets up narrow job alerts, Boolean searches on job boards, search-engine queries that find roles on company job boards directly, page-change monitoring, and, for those who code, a small filter for the public job feeds that many companies' applicant tracking systems publish. It ends with an optional automation, used responsibly.
Career
9 min read
Fresher roles are spread across company careers pages, large job boards, startup platforms, hiring challenges, community channels and public hiring threads. Each has different competition, quality and risk. This article maps the channels, explains when to apply on the company's own site, shows how to filter noisy community channels with a quick AI-assisted check, and how to measure which channels work for you.
Career
11 min read
Referrals and introductions come from people who already know a little about you. This article shows how a fresher with no network builds one in a few weeks: whom to connect with, connection notes that get accepted, short posts about what you are building, comments that add something, and fifteen-minute conversations with people a year or two ahead. AI helps you edit, never to fake engagement.
Career
10 min read
Recruiters search LinkedIn by job title, skills and location, and then decide in seconds whether to message you. This article covers the profile sections that matter for a fresher, a headline and About section that say what you build, the Open to Work settings, how to learn from recent hires' public profiles without copying them, and which old tips to ignore because LinkedIn removed those features.
Career
10 min read
Tailoring means showing the same true facts in the words and order a particular role cares about. This article shows how to read a job description for what really matters, compare your resume against several at once with AI, close keyword gaps honestly, and keep a small set of resume versions you can track, without inventing a single skill.
Career
10 min read
Most advice about applicant tracking systems is half myth. This article explains what these systems actually do with your resume, which problems are real (parsing failures, knockout questions, missing terms in recruiter searches), the one-page layout and section order that suit a fresher, and a parse test you can run in five minutes, with AI as a second reader.
Career
11 min read
A job search without a tracker is guesswork. This article gives you the exact spreadsheet columns, status values and formulas to run an off-campus search, simple follow-up rules, a ten-minute Sunday review, and a milestone-based ten-week plan you can personalise with an AI prompt that respects your exams and real hours.
Career
11 min read
How many applications does one offer take? Nobody can tell you the true number for your profile, but simple funnel arithmetic shows why volume matters, why fixing your earliest weak stage matters even more, and how to measure your own rates. The second half builds a prioritised list of 60 to 80 real companies with AI help and a verification step.
Career
12 min read
Before you apply anywhere, find out what a recruiter sees when they read your profile. This article gives you a six-part self-assessment, a prompt that makes an AI assistant act as a blunt but evidence-bound reviewer, a way to separate gaps you can close in 30 days from constraints you must work around, and a single highest-leverage action for the next week.
Career
14 min read
The first article of a free 44-article course on landing your first tech job off campus. It explains the different ways companies hire freshers outside campus placements, when each one happens, the six-step Search Loop that organises the course, and five ground rules for using AI in a job search without inventing anything.
CourseCareer
8 min read
A free, 44-article course for freshers in India who are looking for their first tech job without campus placement. It covers the whole search: an honest assessment of where you stand, proof of work, resume and LinkedIn, finding roles early, referrals, online assessments, interview rounds, offers and negotiation, and what to do when rejections pile up. AI is used throughout as a coach and checker, never as a ghostwriter.
Technology
13 min read
A realistic 30-day plan to put this course into practice with free tools and 30 to 45 minutes a day, followed by a long-term roadmap that builds durable skills such as verification, workflow design and evaluation, and a way to keep up as AI changes without chasing every announcement.
Technology
13 min read
Fourteen compact, tool-independent recipe cards you can copy into your playbook: study, developer, career, research, productivity and automation. Each card gives the goal, the steps, a prompt template, the checks and the risk level, and links back to the article that explains why it works.
Technology
10 min read
By now you have habits, prompts and rules scattered across a course. This article turns them into one personal AI operating system: your principles, privacy boundaries, verification rules, tool-selection criteria, a playbook of reusable workflows and a review routine, captured in a one-page manual you can keep and update. No paid tools required.
Technology
12 min read
Agents and AI workflows fail in predictable ways: wrong tools, compounding errors, endless loops, confident 'done' messages that are not true and hostile content. This article lists the failure modes, then shows how to design for reliability with validation, escalation, approval gates, evaluation sets and staged rollout, including a runnable approval-gate example.
Technology
11 min read
How can a language model that only produces text check a calendar, search a database or edit a file? Through tool calling: the model asks, your program acts. This article explains function calling, the Model Context Protocol and the agent loop, with a runnable toy loop that shows allowed tools, step limits and what the model never does itself.
