For the longest time I thought I was getting the most out of Claude. Type a question, grab the answer, move on. Then I came across a post from an AI professional who laid out 50 things he wished he’d known before building with Claude, and it completely reframed how I see the tool.
The creator’s big point hit me right away: most founders treat Claude like a smart search engine. They ask, they read, they close the tab. Then they wonder why their team is still grinding through everything by hand. What they’re missing, according to the original poster, is the actual infrastructure underneath.
Claude isn’t just a prompt box. The expert describes it as a system with layers: Projects, Skills, Memory, Agents, and MCP. And most people, he says, haven’t touched half of it.
The real leverage came when the author stopped treating Claude as a tool and started treating it as an operating layer. Prompting was step one. It was also the least important part.
I loved how he broke this down across 8 areas that actually matter. Here’s my breakdown of his playbook.
1. Prompting
This is where the post’s author says everyone starts and most people stop. His tips go way past “write a good prompt”:
- Interview Claude first. Before any complex task, let it ask you questions. It surfaces edge cases you never thought of.
- Add a “do not list” to role-based prompts. It forces precision from the very first sentence.
- Tell it to push back. Ask Claude to challenge your ideas so it catches flawed thinking before it ships.
- Use XML tags to structure prompts so Claude parses each section cleanly.
- Request the output format in the same prompt, not as a follow-up.
2. Model selection
The creator says routing everything to one model is a rookie move. Match the model to the job:
- Opus for deep research and hard logic.
- Sonnet 4.6 for content and heavy analysis.
- Haiku for fast, lightweight tasks.
3. Skills
Here’s where it starts feeling like infrastructure, not chat. This savvy professional points to two moves:
- Save your best prompt sessions as custom Skills so you get consistent output every single time.
- Lean on the built-in Skills for Excel, PowerPoint, Word, and PDF. Stop re-prompting the same thing.
4. MCP Connectors
This one made me sit up. The mind behind the post connects Claude straight into his tools:
- Hook up Google Drive, Gmail, and Calendar so you stop copy-pasting between apps.
- Start every new server with read-only credentials. Test before you trust.
5. Claude Code
For anyone building, the expert shares two habits worth stealing:
- Use plan mode before any refactor. You see exactly what changes before a single line gets touched.
- Spin up Agent Teams to run parallel sub-agents and cut execution time on big workloads.
6. Context and token management
This contributor busts a myth I believed for ages:
- Summarise long documents before pasting. Claude performs just as well on 500 words as on 5,000, so don’t drown it.
- Store standing instructions in a Project. They load automatically every session.
7. Cowork
The author treats Claude like a teammate with file access, with one big caution:
- Give it local file access across multi-step tasks so it can read, edit, and create without copy-paste.
- Back up files before granting access. Claude modifies without review unless you configure it otherwise.
8. Project and Memory
This is the part the original poster says ends the endless re-explaining:
- Write a profile context file in your Project. No more re-explaining your role, company, and priorities every session.
- Add a style guide file so your preferred tone, format, and vocabulary get applied automatically.
Why this matters
The gap between founders using Claude as a chatbot and founders using it as infrastructure is compounding every month, according to the post’s author. The ones building real systems pull further ahead while everyone else keeps typing one-off questions.
What I appreciate most about this breakdown is how practical it is. You don’t need to adopt all 8 areas at once. Pick one. Save a Skill. Write a profile file. Connect one tool with read-only access. Then stack the next layer next week.
If you’re building anything with AI right now, this is the kind of thinking worth sharing with your whole team. Go read the original LinkedIn post for the full set of tips, and notice how the creator frames Claude less as an answer machine and more as an operating layer for your work.