I’ll admit it. For a long time, my Claude routine looked like this: open a new chat, type a question, grab the answer, close the tab. The next day I’d do it all again, and Claude wouldn’t remember a thing from yesterday.
So a post from an AI professional arguing that most people leave 90% of Claude on the table hit a little too close to home. The author’s team went deep on the platform. They didn’t just use it for content. They used it to run workflows, store context, connect tools, and ship more than their headcount suggested they should. The original poster says the gap between basic use and proper use turned out to be bigger than most people expect, and it took months to map it fully.
The Real Problem Isn’t Your Prompts
The creator describes a setup most of us will recognize. People open a new chat, type a question, get an answer, and close the tab. Here’s what’s missing from that picture:
- No Projects
- No Skills
- No memory
- No MCP connectors
- No context carried between sessions
What you’re left with is a slightly smarter search bar than the one you had two years ago. Then people wonder why their results haven’t really changed.
The tips that actually move the needle aren’t about better prompts. They’re about the infrastructure you build around them.
I think that framing is spot on. We’ve all spent hours polishing the perfect prompt. But if Claude forgets everything the moment you close the tab, even a perfect prompt has a short shelf life.
11 Tips From the Expert’s Playbook
Here’s the sample of tips this industry pro shared, plus my notes on why each one matters and how you might use it.
- Store your brand voice in Projects. Put your brand voice, tone guides, and reference files in a Project so Claude never loses context between sessions. You stop pasting the same style guide into every new chat. If you’re a marketer, writer, or anyone producing content at volume, this one pays off almost immediately.
- Encode repeatable workflows with Skills. Build a workflow once and run it on demand. No re-explaining, no starting from scratch. Think of things like formatting a weekly report, running a client onboarding checklist, or turning one long article into social posts.
- Connect your real data with MCP. MCP (Model Context Protocol) is basically a set of connectors. Hook Claude up to Google Drive, Gmail, GitHub, Asana, and dozens more, and it can read and act on your actual data, not just whatever you remember to paste in.
- Hand the heavy dev work to Claude Code. According to the author, Claude Code handles multi-file edits, CI pipelines, and complex debugging. The expert’s advice is to make Sonnet 4.6 your default for most coding tasks.
- Turn on Prompt Caching. On the API, caching cuts repeated input costs by up to 90%. The post’s author says that if you’re making API calls at volume, this matters more than any prompt tweak. A classic example is a long system prompt or knowledge base that goes out with every single request.
- Let Adaptive Reasoning set the effort. On 4.6+ models, Claude adjusts how deeply it thinks based on the task. That stops you from burning expensive Opus tokens on simple follow-up questions.
- Send non-urgent jobs through the Batch API. You get 50% discounted processing with a 12 to 24 hour turnaround. It’s perfect for bulk tagging, overnight summaries, or classifying a big pile of support tickets.
- Mix Standard and Premium Team seats. Your non-technical staff don’t need to pay the same rate as your developers. It’s a small admin change that can trim a surprisingly big chunk off the monthly bill.
- Enable memory from chat history. Turn on “Generate memory from chat history” in Settings. Claude then builds personalized context across all your conversations automatically. It’s one toggle, which makes it the easiest win on this list.
- Upload once with the Files API. Upload documents once and reuse them across multiple API calls. No more re-uploading the same docs with every request, which saves time and keeps your code cleaner.
- Use Extended Thinking on hard problems. Switch it on when you want to review Claude’s reasoning before acting on the final answer. I’d save it for strategy calls, tricky analysis, or anything where a wrong answer costs real money.
Where I’d Start Based on Who You Are
Eleven tips can feel like a lot. Here’s how I’d sort them so you can pick your first move today:
- Everyday users: Turn on chat history memory, set up one Project with your key reference files, and connect one tool through MCP, like Google Drive or Gmail.
- Team leads: Review your seat mix, then turn your team’s most repeated task into a Skill so nobody has to explain it again.
- Developers and API builders: Add Prompt Caching and the Files API first, move background jobs to the Batch API, and make Sonnet 4.6 your coding default in Claude Code.
- Anyone making high-stakes decisions: Use Extended Thinking and actually read the reasoning before you act on it.
Why This Shift Matters
What stands out to me is the pattern behind the list. AI assistants are turning from chat windows into platforms. The advantage is moving away from whoever writes the cleverest prompt and toward whoever builds the best system: stored context, connected data, reusable workflows, and smart cost controls.
That’s why the author’s team could ship more than their headcount suggested. They weren’t typing faster. They’d built an environment where Claude already knew the brand, already had the files, and already knew the workflow. Every session started at mile ten instead of mile zero.
The creator also points out that most of these tips took months to discover, one at a time. The good news is you don’t have to repeat that slow path. You can pick two or three of these this week and feel the difference quickly.
The expert suggests forwarding this to someone on your team who still treats Claude like a basic chatbot, and I’d second that. They also asked a question I’d love you to think about: which tip here is actually new to you? Check out the full LinkedIn post to see the author’s complete take and join the conversation.