Most people meet Claude, treat it like a slightly smarter Google, and then quietly wonder why it never turns into the superpower everyone keeps promising. I felt that exact frustration when I first started poking around. Then I came across a post from an AI professional that reframed the whole thing for me, and honestly, it clicked.
The creator’s point is simple but sharp: Claude isn’t a chatbot. It’s infrastructure for how you think, build, and work. The tool was never the problem. The scope was.
Here’s the part that got me. The original poster spent months testing which AI tools actually moved the needle versus which ones just created busywork. Claude landed near the top, but only after understanding what it could really do. So the expert laid out all 12 ways it works, and I want to break each one down for you.
The 12 ways Claude actually works
- Long Document Analysis: It reads up to 1M tokens. Drop in a contract, a full codebase, or a dense research paper, and it pulls out what matters. No more skimming 80 pages hoping you didn’t miss the one clause that bites you later.
- Writing and Content Creation: Emails, proposals, LinkedIn posts, scripts. The trick the author points to is defining your audience, tone, and length up front. Vague prompt in, vague draft out.
- Claude Code: It connects straight to your codebase to find bugs, refactor files, write tests, and review PRs. The creator suggests adding a CLAUDE.md file with your conventions so it works the way your team already does.
- Building Artifacts: This one surprised me. Claude turns its outputs into live web pages, React components, charts, and calculators, right inside the chat window. You describe it, and a working thing appears.
- Projects: It stores instructions, files, and memory across sessions. Treat each Project like a dedicated workspace, so you stop re-explaining context every single time you open a new chat.
- Extended Thinking: This mode improves reasoning on the genuinely hard stuff. Think legal analysis, financial models, or gnarly debugging where a quick answer usually gets it wrong.
- MCP Connectors: Plug Claude into Gmail, Google Drive, Slack, GitHub, Notion, and Jira. As the expert puts it, this removes the copy-paste tax that quietly eats your day.
- Cowork Desktop Agent: It gets access to your local folders and reads, edits, and organizes files on its own. Less babysitting, more actual output.
- Web Search and Research: It searches, summarizes, and cites sources in real time. The creator’s advice here is gold: give it a research goal, not a search query. You’ll get findings, not just links.
- Image and Vision Analysis: Upload screenshots, charts, diagrams, or photos and get real analysis back. Handy when a picture holds the answer you can’t quite put into words.
- Multi-Agent Workflows: It runs multiple specialist agents in parallel. The post’s author flags this as best for recurring, structured pipelines, the repeatable work you do the same way every week.
- Voice Mode: Available on iOS, Android, and web. Good for brainstorming when you’re away from your desk and an idea hits.
Reading through all 12, I realized how narrowly I’d been using it. And that’s exactly the pattern the original poster noticed too.
Most people use only one or two of these. The founders and operators who are genuinely ahead right now are using six or more. According to the creator, that’s not a coincidence.
Why this matters more than another feature list
It’s easy to see 12 features and feel a little overwhelmed. So here’s how I’d actually apply the author’s insight without burning a weekend on it.
Start with your biggest time sink. If you’re drowning in long documents, lean into Long Document Analysis and Extended Thinking first. If you live in scattered tools, set up a couple of MCP Connectors and kill the copy-paste tax this week.
Build one Project properly. Pick a recurring workflow, load it with your instructions and files, and let Claude carry the context forward. This single habit changed how consistent my results felt.
Stack slowly. The expert’s six-or-more benchmark isn’t about doing everything at once. It’s about adding one new use case every couple of weeks until the tool quietly becomes part of how you operate.
What I appreciate about the way this LinkedIn creator framed it is the honesty. Claude near the top of a months-long test, but only once the scope opened up. That lines up with a bigger shift I keep seeing: the people winning with AI aren’t chasing the newest tool, they’re going deeper on the ones they already have.
So here’s my honest take after sitting with this. If you’re only using Claude for chat, you’re basically driving a truck to carry one grocery bag. The capability is already there. You just have to use more of it.
The full post from the original author has a bit more nuance on each use case, so go check it out on LinkedIn. Then ask yourself the question the creator ended with: which of these 12 have you actually tried?