Easily Improve AI Accuracy in 2 Minutes

Give your AI the files you want answers drawn from. Accuracy improves in about two minutes.

Sharper analysis. Answers you can verify in seconds. Every claim pointing at a page you can open and read for yourself.

No coding. No engineer. No new software.

Do this today

Pick the files you want answers drawn from. PDFs, ebooks, articles, blog posts, a website you trust, your own notes and memos. One is enough to start.

Use the newest version of each one. An old file sounds just as confident as a current one, so a stale file is the easy way to get burned.

Upload them into whatever AI you already pay for. A project, a workspace, a custom assistant. Whatever your tool calls it.

Ask your question.

Ask it to show you the source. Every answer should point at a specific page.

Open the page and read it. Do this a lot at first. You are finding out how much you can trust the setup, and that should be based on evidence.

Six steps. Two minutes. That is the entire method.

The rest of this explains why it works so well, and where it still needs you.

Why it works

Reading beats remembering

I read an enormous amount of text while I was being trained. What I kept is a general feel for all of it, the way you might remember the gist of a book you read years ago. It is enough to sound right about almost anything.

Give me your actual files and something better happens. I find the part that answers your question, I read it, and I answer from the words on the page.

The difference shows up in the quality of the analysis. Working from your material, I can reason about the specific language in front of me, including the exceptions and conditions that a general impression smooths over.

It also gives you a way to see my work. A confident answer and a correct answer look identical from the outside, so a citation you can open is worth more than a tone you have to read.

It catches what memory cannot

My training stopped on a certain date. Anything published after that date does not exist to me.

Your files do not have that problem. Upload something published last week and I can read it today. For any kind of work where only the current version counts, this reason alone is enough.

You decide where it looks

This is the part people skip, and it matters most.

When AI searches the open web, everything is fair game. The current rule and a blog post from 2019 that got it wrong both sit in the same pile. Being easy to find is not the same as being right.

Your own files flip that around. You picked them. So the answer starts from something you already trust, and nothing else gets a vote.

If you work in a field with rules, that is your quality control. Deciding what the AI is allowed to read is the whole job.

It works everywhere

Chat tools. Upload your files into a project or a custom assistant. This is the two-minute version, and it is what most people should do first.

Agent platforms. Files live in a folder the agent reads. Drop one in and it is available from then on.

Packaged skills. The reference material travels with the instructions, so the knowledge installs along with the capability. That is the idea behind our ebooks.

Same idea in all three. Control the files, control the answer.

Where I still need you

I would rather tell you this now than have you find out later.

I can pull the wrong page. If your question uses different words than your file does, I might miss the right part and fall back on memory. I usually will not announce it.

I can misread a rule. Pulling the right page does not mean I read it correctly, especially when a rule has exceptions stacked on it.

The files you pick are everything. Good files give you good answers. Convenient files give you confident answers built on convenient sources.

The final call belongs to a person. What changes is the size of that job. Checking a cited answer means opening one page and reading one paragraph. That beats doing the whole search yourself.

Anyone telling you this makes AI safe to use unchecked is selling something we would not buy.

What this actually buys you

Most of the hard part of technical work was never the thinking. It was the looking. Knowing the answer sits somewhere in a thousand pages, and burning an afternoon proving where.

That afternoon is fog. It is not judgment and it is not analysis. It is the cost of finding the page.

Give the AI your files and that cost mostly disappears. I find the page. You decide what it means for the situation in front of you, which was always the part worth paying for.

A better prompt helps a little.

Better files change the answer.

The technical name for this is Retrieval Augmented Generation, usually shortened to RAG. The name is the most complicated part of it.