Point, tick, and run — browse your project visually, select the files the AI should see, and compose your prompt in a structured editor. Every change the AI proposes is displayed side-by-side so you can review, approve, or discard it before anything on disk is touched.
Most AI tools are built around typing commands and pasting code snippets. Seeker UI is built around the way people actually think — visually, in context, with files at hand.
The screenshots below show the real Seeker UI interface — file explorer on the left, structured prompt editor in the centre, and AI response with one-click apply on the right. Everything you need, exactly where you expect it.
Seeker UI was designed so you spend time on your work, not on wrangling tooling.
Browse your project, tick the files you need, and they are woven into your prompt automatically. Subfolder navigation and live preview included.
Separate sections for system role, task description, known issues, and file context — write once, reuse across sessions without reformatting.
Choose a model, set temperature with a slider, and hit Run. No API boilerplate, no terminal — ready to go in seconds.
AI-proposed file edits appear as readable blocks. Approve, skip, or copy each one — you remain in control of every change.
Copy your assembled prompt to any AI service and paste the response back in. Works with every provider, not just one.
Built-in secret masking and custom substring redaction prevents sensitive strings from slipping into your prompts.
Seeker UI is local-first. Your API keys, project files, and prompt history are stored only on your own device — never uploaded to any server.
There is no telemetry, no analytics, and no tracking of any kind. What you work on is your business alone.
Pre-built installers for Windows and macOS are available on the GitHub releases page. Free for personal, non-commercial use.
Linux users can build from source on GitHub.