Real Tools for Real Life
A practical guide to what AI can actually do for you
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Three years ago, I had never built a website.
Three years ago I had never built a website. AI didn’t make me technical - it made the next step visible enough to take.
Created a video used as a visual for Grammy Award winner Fatboy Slim.
Designed and shipped several live sites for businesses — starting from zero web experience.
Research, branding, planning, launch — AI made the iteration loop fast enough that momentum won.
Built interactive applications and game prototypes that would have taken a full dev team before.
If AI can decode proteins, discover new materials, and accelerate weather prediction, it deserves a serious look in everyday work too.
Hassabis and Jumper cracked a decades-old protein-structure problem — earning a Nobel Prize in Oct 2024.
GNoME proposed 2.2M candidate crystals, including hundreds of thousands of stable new materials. (Nature, Nov 2023)
Drug design, astronomy, and weather forecasting are all shrinking the gap between raw complexity and usable answers.
Terence Tao — the world’s top mathematician — now uses AI as a proof assistant, calling it “ready for primetime.” (Jan 2025)
The three general-purpose assistants most people will reach for first - each with a different strength.
Writing, coding, data analysis, multimodal work, and general-purpose problem solving.
Free • Plus $20/mo • Pro $200/mo
Long-form writing, careful reasoning, coding with Claude Code, and structured professional work.
Free • Pro $20/mo • higher tiers available
Pick the first place AI can take something off your plate and try it this week.
Move faster on customer-facing work you already understand.
Draft guest replies, write seasonal offers, and turn rough notes into polished marketing copy.
Estimate materials, draft bids, and troubleshoot with photos before you chase the wrong lead.
Compress reading time and surface the next question worth asking.
Summarize long documents, build reading lists, and turn dense sources into clean briefings.
Create study guides, rehearse explanations, and break hard material into staged learning steps.
Sharpen communication, preparation, and follow-through before you hit send.
Tailor resumes, rehearse interviews, and research companies without starting from a blank page every time.
Review documents, draft correspondence, and distill long threads into clear next actions.
Turn curiosity into finished experiments instead of abandoned browser tabs.
Track local issues, compare sources, and turn scattered notes into a clear point of view.
Draft plans, create visuals, and prototype ideas that felt out of reach before.
Technique changes output. The RTCF framework keeps your prompts structured — try the live examples below.
A strong AI workflow keeps momentum high without pretending the tool is infallible.
Never paste passwords, SSNs, or confidential records into consumer chat tools. Business and API tiers often carry different privacy guarantees.
Dates, statistics, citations, and any legal or medical guidance still need a human check before you act on them.
Be upfront when AI shaped work you are presenting professionally, academically, or publicly. Credibility compounds.
Use AI to accelerate thinking, not replace it. The best results come from human judgment amplified by AI leverage.
Know what you are allowed to reuse, remix, or publish. Fast output does not equal clean rights.
Deception, impersonation, and careless misinformation scale just as fast as the good stuff. How you use it is a choice.
You don't need a grand plan. Pick one useful first win and let momentum show you what's possible next.
Tonight's goal: one useful first win. Everything else follows from that.