The AI Corner
Why ChatGPT and Claude Keep Disappointing You — It's Your Setup
Ruben Dominguez
Apr 27, 2026
Why ChatGPT and Claude Keep Disappointing You — It's Your Setup
Source: The AI Corner · Author: Ruben Dominguez · Date: Apr 15, 2026 · Original article

Note: This article is mostly paywalled. The full ChatGPT and Claude walkthroughs are gated behind a paid Substack subscription. The summary below covers the freely visible portion — the framing argument, the feature inventory, and the table of contents for the locked guide. The detailed step-by-step setups themselves are not accessible.
The core argument: it's not the prompt, it's the setup
The author opens with a blunt diagnosis of why most people feel underwhelmed by ChatGPT and Claude. The mental model to take away is this:
Every new chat session starts from zero. The model has no memory of who you are, what you're building, how you write, or what you decided yesterday. So it falls back to a generic, average-internet-person response. You then spend energy reshaping that output into something usable — and the moment you open a new chat, the cycle starts over.
The people who report dramatically better results aren't smarter and aren't using cleverer prompts. They invested once in configuring the tool — telling it persistently who they are, what context to load, and how to behave — and then they harvest the returns from that one-time setup every single day.
The thesis in one line, quoted from the piece:
"The gap between a basic user and a power user is not intelligence or technical skill. It is knowing which features exist and how to activate them."
The hidden features most users never turn on
Both ChatGPT and Claude ship with a layer of "power features" that the average user never discovers. The article lists them as the building blocks of a real setup:
- Projects — persistent workspaces. Context (files, instructions, prior chats) accumulates inside the project, so every new session inside it already knows the background.
- Memory — cross-session recall. The tool remembers facts about you between chats, so you stop re-explaining your job, your stack, or your preferences.
- Custom Instructions — a rules file that runs automatically before every conversation. Think of it as a system prompt you write once.
- Cowork (Claude desktop) — gives the model direct access to local files on your machine without uploading them one by one.
- Skills and Plugins — reusable instruction packs that auto-activate when the conversation matches their topic. (E.g., a "code review" skill that kicks in only when you paste code.)
- Connectors — live links to Slack, Drive, Notion, Gmail, and 50+ other services, so the model can read fresh data instead of working from a stale paste.
- Scheduled tasks — recurring workflows that run on a timer, even when you're offline.
The author's framing: turning these on transforms the tool from "chatbot you wrestle with" into "colleague who already knows your priorities, your voice, and your current projects before you type a single word."
The numbers behind the claim
Two data points the article uses to motivate the upgrade:
- ChatGPT has over 900 million weekly users, but the vast majority are on the free tier. The free tier lacks the advanced reasoning/planning model. On performance benchmarks, the paid "thinking" model is tied for #1, while the free version ranks #25. The implication: most people are judging ChatGPT by a model that is roughly 24 places worse than what's available.
- Claude has the same shape of gap: browser-tab Claude delivers ~20% of what the tool can do. The other ~80% lives in Cowork on the desktop app.
Author's conclusion from those numbers: the variable that changes everything is the setup, not the prompts. You can get dramatically better output without rewriting a single prompt — you just have to configure the tool first.
What the (paywalled) full guide promises
The rest of the article is locked, but the table of contents is visible. Recording it here so you know what the complete piece covers:
The complete ChatGPT system
- Custom Instructions templates ready to copy
- Memory setup so you stop re-explaining yourself in every chat
- Projects structure with dedicated instructions and uploaded reference files
- Canvas walkthrough for iterative document editing
- Custom GPT builder guide — your voice, your rules, shareable with your team
- A "self-critique" prompt that forces GPT to grade and rewrite its own output
The complete Claude system
- A four-folder Cowork structure that auto-loads your full context
- Two core files —
about-me.mdandanti-ai-style.md— that the author claims replace ~50 individual prompts (the idea: one persistent file describing you, plus one persistent file describing the writing/output styles you don't want, eliminates the need to keep saying "don't be salesy / don't use bullet lists / etc." in every chat) - Global Instructions that run before every session, forever
- Skills, Plugins, and Connectors setup
- Dispatch — queueing tasks from your phone so your desktop machine executes them
- Scheduled tasks that run overnight unattended
Plus
- A side-by-side breakdown of when to use ChatGPT vs. Claude for each job
- The one prompt that works identically in both tools
- A correction method that fixes wrong output without rewriting the original prompt
- A Q&A covering the most common reader questions
Takeaways you can act on without paying
Even without the locked walkthrough, the freely visible portion gives you a usable checklist:
- Audit which tier you're on. If you're on free ChatGPT, you're likely benchmarking the product against its 25th-place model. The argument for upgrading is less about "more messages" and more about "access to the actually-good model."
- Turn on Memory and Custom Instructions today. These are the lowest-effort, highest-leverage features. Write down — once — who you are, what you're working on, how you want responses formatted, and what you don't want (no hedging, no bullet vomit, no sales tone, etc.).
- Move Claude work to the desktop app. Per the article, the browser tab is ~20% of the product. Cowork (local file access) is where the depth lives.
- Set up Projects per ongoing initiative. Instead of one giant chat history, a Project per workstream means context compounds in the right bucket.
- The "two-file" Claude pattern is worth stealing even without the full guide: an
about-me.md(who you are, what you do, what you're building) and ananti-ai-style.md(the tics and tones you want suppressed). Drop both into a Cowork folder so every session loads them automatically.
The unifying principle across all of it: stop paying the setup tax at the start of every chat. Pay it once, persistently, and let the tool carry the context for you.
Author
Ruben Dominguez
Continued reading
Keep your momentum

MKT1 Newsletter
100 B2B Startups, 100+ Stats, and 14 Graphs on Web, Social, and Content
This is Part 2 of MKT1's three-part State of B2B Marketing Report. Where Part 1 looked at teams and leadership , Part 2 turns to what marketing teams are actually doing — what their websites look like, how they use social, and what "content fuel" they're producing. Emily Kramer u
Apr 28 · 10m
Lenny's Newsletter (Lenny's Podcast)
Why Half of Product Managers Are in Trouble — Nikhyl Singhal on the AI Reinvention Threshold
Nikhyl Singhal is a serial founder and a former senior product executive at Meta, Google, and Credit Karma . Today he runs The Skip ( skip.show (https://skip.show)), a community for senior product leaders, plus offshoots like Skip Community , Skip Coach , and Skip.help . Lenny de
Apr 27 · 7m

The AI Corner
The AI Agent That Thinks Like Jensen Huang, Elon Musk, and Dario Amodei
Dominguez opens with a claim that is easy to skim past but worth stopping on: the difference between elite founders and everyone else is not raw IQ or speed — it is that each of them has internalized a repeatable mental procedure they run on every important decision. The procedur
Apr 27 · 6m