AI Tools Daily

Engineering Series · Day 2 · Scheduled for Oct 25, 2026 · Tags: Engineering Students, Problem Solving, Exam Prep Hard engineering problems feel hard because they look like one giant block. They are almost always a chain of smaller problems. Why complex problems freeze students Your brain tries to hold every variable at once. Working memory fills up, anxiety rises, and you either stare or thrash. Decomposition fixes that by giving you a sequence of small wins. The decomposition method Underline verbs — find, design, compare, optimize, prove, select. Split into deliverables — each verb often becomes a sub-problem. Order by dependency — what must be true before the next step can start? Solve the bottleneck first — the step that unlocks everything else. Assemble and re-check interfaces — units, signs, boundary conditions between parts. Example: multi-part circuits problem Prompt: Find the power dissipated in R3, then redesign the source so power stays under 2 W. Su...

Engineering Series · Day 1 · Scheduled for Oct 24, 2026 · Tags: Engineering Students, Problem Solving, Study Skills Engineering exams and projects rarely fail because of missing formulas. They fail because the problem was never framed clearly. Why this matters for engineering students Whether you are in mechanical, electrical, civil, or computer engineering, grades and internships reward the same skill: turning a messy real-world prompt into a solvable model. A shared framework beats last-minute panic. The 6-step engineering problem-solving framework Restate the goal — Write one sentence: what must be found, designed, or decided? List knowns and unknowns — Separate given data, assumptions, and what is missing. Sketch the system — Free-body diagram, circuit, flowchart, or block diagram. Choose the governing model — Laws, equations, algorithms, or standards that apply. Solve and check units — Work symbolically first when possible, then plug numbers. Validate the answer...

Day 6 of 30 · Scheduled for Sep 29, 2026 · Tags: Notion AI, Productivity If your AI ideas live in random chats, your blog will stay inconsistent. Why this matters now AI tools are shipping features every week. Creators and founders who learn the useful features early can publish faster, cut costs, and build an audience that advertisers pay for. This guide focuses on Notion AI with practical steps you can apply today. Key features and trends Database for topic ideas, keywords, and publish dates AI summaries of research dumps Templates for outlines, briefs, and CTAs Status pipeline: Idea to Draft to Scheduled to Live Content reuse for LinkedIn and X threads How to use it (step-by-step) Create properties: keyword, intent, monetization angle, status Add 50 ideas once, then pull one card per day Use Notion AI to expand brief notes into outlines Link each published URL back to the database Who should use this Choose this approach if you want practical results — not ...

Day 2 of 30 · Scheduled for Sep 25, 2026 · Tags: Claude, ChatGPT, Gemini, Comparisons Paying for three AI chatbots is expensive. Paying for the wrong one is worse. Why this matters now AI tools are shipping features every week. Creators and founders who learn the useful features early can publish faster, cut costs, and build an audience that advertisers pay for. This guide focuses on Claude / ChatGPT / Gemini with practical steps you can apply today. Key features and trends Claude: long-context writing and careful reasoning ChatGPT: ecosystem, Custom GPTs, broad multimodal tools Gemini: Google Workspace and Search integration Pricing and usage limits matter more than brand hype Team collaboration and API access decide business value How to use it (step-by-step) Pick one primary model and one backup for verification Run the same 5 tasks on each model and score quality/speed Keep a shared prompt library so switching is cheap Cancel unused subscriptions after a 14-da...