Put your Ikes ideas to work with AI

AI-Ready export

Ikes' export feature outputs your ideas in structured formats (JSON / YAML) that AI tools can understand.

It's not just a flat list of text. Each idea is exported together with its tags, source (the original's name, type, and URL), and timestamps. That structure matters to AI: knowing the theme, where it came from, and when it was saved gives the AI the context it needs to work with your material.

Operating the export is simple, too. On the Ikes home screen, filter by tag or keyword, then tap the export button that appears. "What you see is what you export" — so you can hand the AI only the ideas you actually want it to work with.

Why structured data?

You can copy and paste notes into an AI. But the moment you do, you lose the information about when, where from, and under what theme each piece was saved.

Ikes' JSON / YAML export keeps the body of each idea together with metadata like tags, sources, and timestamps. By reading the structure, the AI can understand the background of every piece. It can tell which lines came from a book and which are your own observations, so it can write in a way that distinguishes quotation from original thought. With theme tags in place, it can group related ideas accurately.

This matters even more for AI agents — tools that autonomously read files and act on them. The gap between structured data and plain text is wide, and the quality of what you hand the AI shapes the quality of what comes out.

Here's how you might use it

Turn scattered idea notes into a draft brief

For a new product or initiative, you've been jotting things into Ikes whenever an idea strikes. The notes are fragmented, out of order, sometimes contradictory. But you know there's something there.

Filter those notes by their project tag, export them, and hand them to ChatGPT or Claude. "Analyze these ideas and group them by theme." "Pick the ones that feel most feasible and draft a brief from them."

What was a mess in your head gets shaped into something you can work with. You're not starting from zero — you're starting from the ideas you've been quietly nurturing all along. The density of thought is on a different level.

Pull cross-book insights from your reading notes

Many of us save lines that resonate as we read, book after book — recording the book name in the source field, attaching theme tags as we go.

Export them all and hand the file to NotebookLM, ChatGPT, or Claude. "Find the themes shared across these quotes." "Show me how arguments from different authors connect."

Connections that were invisible while you were reading one book at a time start to surface from the AI's vantage point. A line from a business book and one from a philosophy book turn out to share an idea; a passage you saved years ago resonates with one you saved last week. It's a new kind of "re-reading" — a way to look at your reading life from above.

Turn everyday observations into a blog post in your own voice

Things you notice in passing. An interesting take you saw on social media. A small lesson from work. Ikes is full of fragments like these.

You want to publish — on a blog, on social — but starting from a blank page is heavy. Export the relevant notes from Ikes and ask ChatGPT or Claude for a draft. "Use these notes to draft a blog post." "Weave these observations into a single story."

The important thing: what the AI writes is only a draft. The raw material is your own observations and experience; the AI just helps put them into prose. That's why what comes out carries a perspective that's actually yours, not borrowed. It reads with a weight that AI-from-scratch writing can never match.

Make it the "background knowledge" for an AI agent

Tools like Claude Code and Codex read the files you give them and act on the contents.

If you've been saving product ideas or user feedback into Ikes, export them to your project folder. Then tell the agent "draft a feature spec based on these requests" and it'll work with your accumulated notes as background knowledge. You don't have to re-explain every time. Your collection becomes the agent's context.

Hand a file to ChatGPT or Claude

Getting an exported file into an AI is surprisingly simple. No complicated setup, no special know-how.

The fastest way is to pick ChatGPT or Claude right from the Ikes export screen. Choose the ChatGPT or Claude app as the share destination, and the chat opens with your exported file already attached. No saving the file, opening the app, attaching it manually — none of that. One tap, and you're talking to the AI with your idea collection already in hand.

Of course, you can also upload manually.

With ChatGPT, tap the clip icon in the input bar and upload the .json or .yaml file you exported from Ikes. Then say something like "use the ideas in this file to…" and ChatGPT reads the structure, working with the tags and sources in mind.

With Claude (claude.ai), you can attach files in the chat the same way. Better yet, use the Projects feature to register the file as "knowledge" — once it's there, every conversation in that project has Claude referencing your idea collection in the background. It can become a steady brainstorming partner.

With NotebookLM, upload the exported file as a source. NotebookLM grounds its answers in the materials you give it, which makes it a strong fit for surfacing objective connections and summaries from your collection.

With AI agents like Claude Code or Codex, just drop the exported file into your project folder. The agent will read it as needed and weave your accumulated notes into its work.

Whichever tool you use, the strength of the JSON / YAML structured format is the same. Unlike pasting plain text, tags, sources, and timestamps all come through intact — so the AI can understand your ideas more accurately, and more deeply.

You collected them. Now you can use them.

The ideas and quotes you've saved into Ikes might have felt, at the time, like things you'd "use someday." AI-Ready export turns "someday" into "now."

Quotes into a speech. Notes into a brief. Citations into analysis. Observations into a blog post.

Everything you've been capturing, day after day, becomes raw material the moment you hand it to an AI. Because you collected it, you can use it. Give your Ikes ideas a new role.