Custom GPTs & Assistants
Reusable assistants with instructions, memory, project files, and team knowledge.
21 stories (15 articles · 6 videos)
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A few good first pieces before you browse the full feed.
6 min readYour first "Custom GPT": a personalised assistant in 10 minutes
Build a personalised AI assistant — your own tutor, recipe helper, or work coach — by filling in a form. No code, no setup, ten minutes.
New to AI
8 min readCustom GPTs and Claude Projects: reusable assistants with knowledge files
Anything you do with AI more than twice is a candidate for a Custom GPT or Claude Project. A practical guide to building reusable, file-backed assistants — when to use which, and the patterns that compound.
BeginnerMore in this topic
6 min readAI for travel, recipes, and life admin
The low-stakes, high-frequency wins that turn AI from a curiosity into a habit. Real prompts for trip planning, meal planning, household admin, and the small decisions that eat your week.
New to AI
6 min readAI as your personal editor: fix any writing in under a minute
Three small prompts that turn any AI into a careful, fast editor — without it rewriting you into someone you are not. One pass each for clarity, tone, and grammar.
New to AI
7 min readUsing AI to read long documents, contracts, and PDFs
Drop in a 40-page document and get the parts that matter — the decisions, the risks, the things you would otherwise miss. A practical workflow for using AI to read what you do not have time to read.
New to AI
6 min readUsing ChatGPT to write emails you actually want to send
Most AI emails sound like AI. A practical workflow for using ChatGPT to draft, sharpen, and finish the emails you would actually press send on — without the robot smell.
New to AI
7 min readChatGPT Voice mode: talking to AI like a friend
Talking to AI feels strange for about ninety seconds, then it becomes the most natural interface there is. A practical guide to voice mode — what it is great at, what it is bad at, and how to actually use it.
New to AI
7 min readCustom instructions and memory: set up your AI once
Spend ten minutes once and stop re-explaining yourself to ChatGPT every conversation. A practical guide to custom instructions, memory, and projects across the major AI tools.
Beginner
6 min readFree vs paid ChatGPT: what the upgrade actually buys
A jargon-free comparison of free ChatGPT, ChatGPT Plus, and ChatGPT Pro — what changes when you upgrade and how to tell if you actually need to.
New to AI
11 min readMulti-tool workflows: combining ChatGPT, Claude, Perplexity, and Notion
Most people use one AI tool for everything. Intermediate users orchestrate four or five — each for the part it does best. A practical guide to building multi-tool workflows that compound.
Intermediate
6 min readPrivacy 101: what ChatGPT remembers, sees, and shares
An honest look at what AI assistants actually do with your data — what is stored, what is used for training, what the privacy settings really mean, and the three changes worth making today.
New to AI
7 min readPicking the right model for the job: a 2026 decision cheat sheet
Which model to reach for, by task type. GPT, Claude, Gemini, the reasoning models, and the open-weights options — sorted by what they are actually best at, with simple decision rules.
Beginner
6 min readThe seven things you can ask ChatGPT on day one
The blank input box is the hardest part. Seven copyable prompts that turn an empty conversation into a real win on your very first day.
New to AI
6 min readChatGPT, Claude, Gemini, Copilot — which should a beginner pick?
Four mainstream AI assistants, picked apart in plain English. A non-technical guide to choosing your first AI based on what you already use and what you actually want from it.
New to AI
6 min readYour first hour with ChatGPT: a click-by-click walkthrough
A guided sixty-minute tour of ChatGPT — from signing up to your first real win. Every button, every setting that matters, in order.
New to AI
12 minutesHow To Create Custom GPTs - Build your own ChatGPT
Skill Leap AI. Walks through the GPT builder exactly the way the article describes — name and description, conversation starters, instructions, knowledge files, capabilities, and access settings. Uses a real example (an AI knowledge assistant fed with the creator's own scripts) so you see what good knowledge-file content looks like in practice.
Beginner
13 minutesI Switched 50% of My AI Work to Claude, Here's Why
Jeff Su. The Claude Projects chapter (starts around 04:46) is the clearest short explanation on YouTube of project-level vs chat-level context — illustrated with a product marketing example where one project document feeds many chats with different briefs. Pairs naturally with the article's argument that Projects and Custom GPTs solve the same problem in slightly different shapes.
Beginner
131 minutesHow I use LLMs
Andrej Karpathy. Skip to the "ChatGPT memory, custom instructions" chapter at 1:53:29. Karpathy shows what he actually has in his own custom instructions, talks about when he tells ChatGPT to remember a fact versus letting it auto-capture, and notes the trade-offs — closer to the article's "set it up once with intent" framing than most beginner walkthroughs.
Beginner
36 minutesEvery ChatGPT Feature In 37 Minutes
Tina Huang. The personalization, memory, and custom instructions panels are walked through inside a wider tour of every ChatGPT feature, which is the right framing — these settings only pay off when you also know what they're configuring (projects, GPTs, scheduled tasks, voice, etc.). Use it as a guided tour while you actually open Settings → Personalization in another tab.
Beginner
29 minutesGPTs Are Here: The Best Ones & How to Make Them
Matt Wolfe. Matt Wolfe builds a GPT live on screen and then reviews a handful of real, useful ones (SimpsonizeMe, ConvertAnything, Grimoire). The build-from-scratch section is the closest thing on YouTube to the article's "ten minutes from blank to working assistant" framing, and the second half shows what good GPTs actually look like once they exist.
New to AI
44 minutesNew Products: A Deep Dive
OpenAI. The OpenAI product and engineering team — Thomas Dimson, Nick Turley, Michelle Pokrass, Olivier Godement — walking through how GPTs work, what the three pieces (instructions, actions, knowledge) actually do, and the design choices behind them. Useful when the article's "just try it" advice has stuck and you want to understand the seams before you stretch the tool further.
New to AI