GuideTechnology
14 min read
Everything you paste into an AI tool goes somewhere, and everything an AI tool reads can try to steer it. This article covers what never to paste, how to tell consumer from business tools, how to redact, how connected tools widen the risk, and what prompt injection is and how to limit it, with a small runnable illustration.
GuideTechnology
11 min read
A reliable research process uses AI for the parts it does well, such as mapping a topic, suggesting search terms and explaining difficult sources, and keeps you in charge of finding, reading and comparing real sources. This article gives an eight-stage workflow, a source matrix and a citation-checking routine.
GuideTechnology
12 min read
Fluent AI output is not proof of truth. This article gives you a practical verification routine: split an answer into claims, decide which need checking, find primary sources, compare independent ones, check dates, context and numbers, record the source and decide how far to trust it, with special care for health, law, money and statistics.
GuideCareer
10 min read
An AI assistant can be a patient, always-available interviewer: asking questions, probing your answers and giving feedback on structure and clarity. It can also flatter you and mark wrong answers right. This article gives a mock-interview protocol for behavioural and technical rounds, and clear rules about not using AI in the real interview.
GuideCareer
11 min read
Job postings are data. This article shows how to turn a handful of them into a requirements table, compare it honestly with what you can already show, plan a realistic learning path and choose portfolio projects that prove real skills, with AI doing the sorting and you doing the judging and the learning.
GuideCareer
10 min read
AI can sharpen vague resume bullets, point out what is unclear and tailor your wording to a role. It can also invent achievements that you will be asked about in an interview. This article gives a fact-first method for resumes, LinkedIn profiles and applications, with firm lines you should not cross.
GuideTechnology
10 min read
Vibe coding means accepting AI-generated code without reading it, which is fine for a weekend toy and risky for anything that has users, data, money or a future. This article gives a fair account of both ends of the spectrum and a project workflow that keeps the speed while preserving your understanding.
GuideTechnology
11 min read
Generated code that works can still be vulnerable, depend on a package that should not be trusted, or resemble code with a licence you must respect. This article lists the common security weaknesses, shows a SQL injection example you can run, gives a short security review routine and explains licensing questions without pretending to be legal advice.
GuideTechnology
10 min read
AI-written code often passes AI-written tests, because both come from the same assumptions. This article shows how to write tests that check what the code should do, how to use AI as a second reviewer without relying on it, what to look for in AI-generated diffs, and how to refactor safely.
GuideTechnology
9 min read
Pasting an error into an assistant can solve a bug in a minute, or produce a patch that hides it. This article gives a safe debugging workflow: reproduce, share safely, ask for hypotheses, test them, review the fix, add a regression test, with a worked example and a list of dangerous 'fixes'.
GuideTechnology
10 min read
Reading code is the safest and often most valuable use of an AI assistant: nothing changes until you decide it should. This article covers explaining unfamiliar code, mapping a codebase, learning an API or framework, writing documentation and brainstorming architecture, with the checks that catch confident mistakes.
GuideTechnology
9 min read
Autocomplete, chat, edit mode, agents and review bots all promise faster coding. This article explains what each mode does, how to give it the context it needs, what the evidence says about speed and security, and the responsibilities that stay with you no matter who typed the code.
GuideTechnology
10 min read
AI is a tireless thinking partner for generating options, breaking work into steps and stress-testing plans. It is a poor decision-maker, because it does not share your values or consequences and tends to agree with you. This article shows how to use it to think better while keeping the decision yours.
GuideTechnology
11 min read
AI is excellent at explaining formulas, cleaning messy columns and suggesting how to analyse data, and unreliable as a calculator. This article shows how to have the AI propose the method while the spreadsheet or code does the arithmetic, with reconciliation checks and a worked example of a classic mistake.
GuideTechnology
10 min read
AI summaries save hours, and they fail in quiet ways: a missed 'not', an invented owner, a decision that was never made. This article shows how to extract decisions and actions from meetings, summarise long documents for a purpose, and build a note system that you can search and trust.
GuideTechnology
10 min read
AI can draft, tighten and restructure workplace writing in seconds, but it can also invent commitments and make everything sound like everyone else. This article gives a facts-first drafting workflow, ways to keep your own voice, and a checklist to run before you hit send.
GuideLearning
9 min read
Using AI in your studies raises three separate questions: what your institution allows, whether you are actually learning, and whether you can still do the work without it. This article gives you honest rules, warning signs of dependency and a personal AI-use agreement you can write in ten minutes.
GuideLearning
10 min read
Turn the notes you already have into questions, flashcards, practice problems and a revision schedule, with AI doing the preparation and you doing the remembering. Includes prompts, a worked example with a deliberate AI error, and a way to keep your cards accurate.
GuideLearning
11 min read
'Explain everything about this topic' produces a wall of text you will forget. This article shows a better loop: tell the AI what you already know, learn in layers, try problems yourself, ask for hints instead of answers, and test your understanding. With a full worked session.
GuideTechnology
11 min read
The first AI answer is a draft. This article teaches how to give feedback that actually improves it, how to ask the AI to critique and offer alternatives without being fooled by agreement, how to split big tasks into checkable steps, and when the real problem is not the prompt at all.
GuideTechnology
11 min read
Showing the AI one or two examples often beats three paragraphs of description. This article covers example-based prompting, choosing an output format, and requesting structured output such as JSON that a program or spreadsheet can use, with the checks that make it safe.
GuideTechnology
9 min read
The single biggest upgrade to AI answers is not a cleverer prompt. It is giving the model the right material to work from and making it show where each claim came from. This article teaches grounding, quote-first answers and how to handle long documents.
GuideTechnology
12 min read
A good prompt is not a magic phrase. It is a clear brief. This article shows how to state your goal, give context, set constraints and choose a format, and why each one changes what the AI produces.
GuideTechnology
10 min read
Instead of asking which AI product is best, ask which kind of AI fits the task. This article sorts today's tools into capability categories, explains what each is good and bad at, and gives you a method for testing tools on your own work.
GuideTechnology
11 min read
Hallucinations are not random glitches. They follow predictable patterns that you can learn to spot. This article explains why fluent AI answers can be false, where errors cluster, and which habits reduce them, with an honest account of what no habit can fix.
GuideTechnology
12 min read
You do not need maths to use AI well, but you do need a correct picture of what happens when you press enter. This article explains next-token prediction, training versus inference, tokens and the context window, and the practical habits each idea implies.
GuideTechnology
10 min read
AI, machine learning, deep learning, generative AI, LLM, chatbot, model, agent: the words get used as if they mean the same thing. They do not. This article draws one simple map so every later article makes sense.
GuideTechnology
12 min read
A free, 35-article course on using modern AI well: what it is, how to ask, how to check it, and how to build habits that survive the next product update. This first article explains what to expect and introduces the six-step Work Loop you will use throughout.
CourseTechnology
35 lessons · 6 h
A free, 35-article course on understanding and using modern AI for learning, work, coding and career growth. It teaches transferable skills, not product tours: how language models behave, how to ask and give context, how to verify answers, how to protect privacy, when to automate, and how to build your own personal AI system.
GuideTechnology
19 min read
How to prepare for campus placements and fresher hiring in India: aptitude rounds, online coding assessments with fast input and output, technical interviews, CS fundamentals, explaining trade-offs, debugging under pressure and discussing projects honestly.
