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Record your work. Ipek automates it.

Describe the process you want to automate: combine APIs, extract from PDFs and spreadsheets, or analyze exports with AI. Ipek builds the workflow on the canvas.

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Recordings

Record your screen while you talk the task through, or just talk. Speech is transcribed on your computer, and your AI reads the recording to learn the steps.

Your AI

Claude Code, Codex or any other MCP client can operate Ipek from start to finish. You talk to your AI, and it plans with you in the Project document, then builds and refines the workers, workflows and dashboards.

Workers

Each worker is a small, deterministic program your AI writes: fetch from an API, read a PDF, merge, remove duplicates, analyze documents with AI, post to Linear. Workers take parameters, like an API key or a filter. You can open any worker and read its source code, which belongs to you.

Workflows

Workers are wired together into workflows on a canvas. A workflow can branch, join, and run a step once for every file: for example, call two APIs, combine the data, and turn it into a PDF or CSV. Every run leaves its files in a folder on your computer, so you can check the results.

Project DB

Each project has a built-in SQLite database for data a workflow needs to keep from one run to the next, like which tickets were already posted. Your AI sets it up and manages it, so there is nothing for you to write.

Dashboards

Once your workflows do what you need, ask your AI for a dashboard of the results: stock prices from your broker, feedback from your startup’s users, or analytics from World Bank Open Data. When others need to see it, publish it online.

Automations

Put a workflow on a schedule, like every 10 minutes, every weekday at 9:00, or once a month. Schedules run on your computer while Ipek is open.

Examples: what was automated with Ipek

A few of the automations built with Ipek.

Yeddi YüzApp feedback

Flagged quiz questions, checked against the curriculum and fixed

Students flag questions in a quiz app. Ipek pulls the reports from PostHog, Claude checks each one against the curriculum notes and fixes the question files, and a dashboard shows what changed.

Workflow canvas in Ipek: PostHog feedback, a review queue, a Claude review per batch, and a worker that applies the fixes to the question bank Dashboard in Ipek: questions fixed, reports where the user was wrong, questions that need a person, and each report with Claude’s reasoning Project document in Ipek: an overview of the quiz feedback project, its open questions, and the latest changes

Market research

SEC filings read by AI and tested against the market, on paper

Every few minutes Ipek pulls new SEC filings, Claude scores each one, and the buy and sell calls go into a paper portfolio priced from a live broker feed. Each call is graded against the S&P 500 after 72 hours. No real orders are placed.

Dashboard in Ipek: every paper position with its entry, exit, result and price path The News: Analyze workflow on Ipek’s canvas: SEC ticker map, gate and batch, fetch filing text, a Claude score per filing, and a route that ends the run when nothing is new Ipek’s Library: the project’s workers, with the source code of the broker quotes worker Project document in Ipek: what the StockSentiment project tests and how its workflows fit together

Compare to legacy tools

Both can automate the job. Here’s where each one lands for the work Ipek is built for.

Capability
Zapier / Make
Ipek Built by your AI, run on your computer
Where the workflow runs
On their cloud. Your data goes there to be processed.
On your machine, in parallel
What each run costs
Every step × every item is a billed task
Nothing. No per-task fee, run the workflow as often as you need
Who builds the steps
Low-code, but you wire up every step
Your AI builds and debugs them, and you can read the code it wrote, which belongs to you now
Your files and your appsFolders on your disk, plus the tools you already use
Great with apps, but cloud-only, so your local disk is out of reach
Both, and finished files land on your desktop
Whose AI account the workflow runs on
Their platform, their billing
Your own AI, like Claude Code, Codex or Cursor. No markup.
Starts without youA schedule, a new email
Many built-in triggers, webhooks, and schedules
Schedules, while Ipek is running on your computer. Email triggers and webhooks are coming.

Developer-focused tools like n8n, Windmill, and Pipedream can do a lot of this too — if you're happy running a server/docker or wiring up every step yourself. Ipek is the version for non-technical team leads who want to optimize their process: it installs like a normal app, and the AI plans & builds the workflows just for your needs.

FAQ

Which AI do I need?

Any MCP client, such as Claude Code, Codex or Cursor. Ipek has no AI of its own, so it adds no AI costs: you use the plan you already pay for.

Do I need to write code?

No. Your AI writes the workers. You can open any of them and read exactly what it does.

Does my data leave my computer?

Workflows run on your computer and recordings are transcribed there. What your AI reads goes to your AI provider, and a worker that calls an API sends what that API needs.

What does it cost?

Ipek is free. Workflows run on your own computer, so there are no per-task fees.

Does it run when my computer is off?

No. Automations run while Ipek is open on your computer. Running them somewhere else is on the roadmap.

Start building your workflows.

No account or payment needed. Everything runs on your own machine, offline.

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