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- Learning Loop 2 - 2026
Learning Loop 2 - 2026
Your bi-weekly dose of learning AI, without the hype.

Hey Peeps,
Most people open ChatGPT, type a question, read the answer, and close the tab.
That's like buying a Swiss Army knife and only ever using the bottle opener.
There are features sitting right underneath your conversations that most subscribers have never touched. Not because they're hidden — because nobody told you they were worth your time. Until now.
ChatGPT has features most people scroll past without noticing.
Here are 2 of them — and why they're actually worth your time.
1. Branch in Chat
ChatGPT gives you 3 different responses to the same prompt.
Most people pick one and move on.
But what if you want to explore all three — without mixing the threads?
That's what Branch in Chat does.
It lets you take each response into its own separate direction. Like splitting a river into three streams. Same source. Different destinations.
Where to find it: look for the branch icon right under the response.

When to use it: when ChatGPT gives you options on a creative or strategic question and you don't want to choose — you want to explore all of them without one polluting the other.
2. Group Chat
You can now add people to a conversation with AI.
Business idea you want to pressure-test with a co-founder. A personal decision you want to think through with your partner. A team problem that needs more than one perspective.
Group Chat pulls everyone's context into one place — and AI synthesizes it.
Where to find it: under the share chat options.

One honest warning though: too many voices, too fast, makes the conversation messy.
Before you add anyone to the chat — align on the objective first. What are you solving? What do you want AI to do with it?
This is especially useful for small business owners. Instead of relaying context between team members and AI separately, everyone is in the room at once.
3. Skills (this one is the big one)
Think of a Skill as hiring an employee who only does one thing.
Not ten things. One.
That's the key insight most people miss with AI. We're used to people wearing multiple hats because life demands it. AI doesn't work that way. The more specific the task, the better the output.
A Skill is essentially a pre-loaded context window. Before the conversation even starts, the AI already knows: what the task is, how to approach it, what good output looks like, what to avoid.
You build it once. You use it forever.
Why Skills matter:
Consistency. Same quality output, every time, without re-explaining yourself.
Repetitive work. Anything you do more than twice is a candidate for a Skill.
You can create them with Claude's help — just describe the task and let it build the file.
You can also download pre-built Skills from libraries. You don't have to start from scratch.
How to upload a Skill: Customize → Skills → Upload.

How to use it: type /skillname anywhere in Claude and it activates automatically and then give your prompt.

I ran two experiments.
One with Anthropic's pre-built design Skill — the visual quality jumped noticeably. Not slightly. Noticeably.
One with a GIF-making Skill from the library — the output was 30% better than without it.
The Skill does the briefing. You just bring the idea.

The pattern across all three features:
ChatGPT and Claude are getting more collaborative — with other people, with past context, with specialized roles.
The people who figure out how to structure that collaboration early are going to have a serious edge.
Branch when you want to explore without committing. Group when you need more than one mind in the room. Skills when you want AI that already knows the job before you say a word.
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Love what you discovered?
Send this to someone who needs to see it.
Drop a comment, start a debate, or hit reply—let's turn this insight into impact.
Your move. 🚀
Till next time,

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