Big companies train AI on thousands of documents.
You don’t need all that.
If you’re an indie hacker or solo founder using AI for landing pages, sales decks, tweets, or outreach — your edge is speed. But not if you’re feeding it the same info every time.
Here’s how to build a simple, reusable memory layer that gives AI the context it needs to write like you — and sell like you.
This is where all your important business info will live — in one organized place.
Use whatever tool you like:
Here’s how to set it up:
This is your “memory hub.” You’ll come back to it often — and add to it over time.
Next, I’ll walk you through what to put in each page.
This page helps your AI learn how you talk. It should sound like you, not generic copy.
At the top of the doc, write a short line like this:
"This page shows how I write, so AI tools or teammates can sound like me."
Then paste in:
This page helps your AI understand who you’re talking to — what they care about, what they struggle with, and how they talk.
Add this line at the top of the doc:
"This page shows what I know about my customers -- their words, needs, and questions."
Then paste in:
This page tells your AI what you’re actually selling.
At the top, write:
"This page explains my offer -- what it is, who it's for, and why it matters."
Then write down:
This page gives your AI context — so it knows what you're working toward and doesn’t give random ideas.
Add this line to the top:
"This page shows what I'm focused on right now, so AI tools know what matters most."
Then add:
This prevents your AI from suggesting things that sound good — but don’t fit your actual goals.
This works with any tool: ChatGPT, Claude, Gemini, etc.
Before you ask it to write or generate anything, copy-paste in the relevant parts of your memory layer.
Example prompt:
Here's how I write: \[Brand Voice\]
Here's who I'm speaking to: \[Customer Notes\]
Here's what I'm selling: \[Offers\]
These are my goals: \[Goals\]
Write a landing page headline that sounds like me and speaks to this audience.
Don’t assume the AI knows. Always give it the context. It takes an extra minute — but gets you better output every time.
Want your memory to stick — so you don’t have to copy-paste every time?
You can train a Custom GPT inside ChatGPT:
Now every time you open that GPT, it already knows you.
Instead of updating your memory layer manually every time, use automation tools to keep it fresh behind the scenes.
You can use automation tools like Zapier or Make.com to do it for you.
Here’s how:
Examples:
You don’t have to do this all at once. Just start with one or two simple zaps.
Every small update improves your system.
If you're building a custom agent, you can connect it to your Notion workspace via the API.
That way, your agent can query your actual memory in real-time — just like an internal knowledge base.
If you're technical, you can embed your memory docs using tools like:
That gives your agent true retrieval-based memory — like enterprise systems use.
Quick note: Automations help — but some of your best ideas live in your head. Once a week, take 10 minutes to add anything your tools missed: smart phrases, new goals, patterns you’ve noticed. Delete anything that’s outdated.
"your edge is speed" — %1000
Love this breakdown — memory layers are a game changer.
I’ve been experimenting with something similar for my tool, FirstClick, where we track click momentum and flex cards for early-stage projects. Having a persistent memory layer would make AI suggestions even sharper for highlighting growth trends and generating shareable insights.
Curious — how often do you recommend updating the hub for solo founders before it starts feeling like overhead?