Most teams don't need more AI in the loop for repetitive desktop work — they need a workflow recorded once and run forever.
The problem
Large language models are great at reasoning. They are still unreliable as day-to-day operators of your real desktop apps, ERP screens, and browser workflows — unless you keep prompting them, babysitting them, and paying for every rerun.
Traditional RPA can automate those clicks, but authoring and maintenance are often heavy.
A different split
Use AI once to capture the workflow. Compile it into deterministic runtime logic. Rerun locally without an LLM in the loop.
That is the idea behind VisualBuild / Automation Skill Builder:
- Local-first / self-hosted control plane (web UI + HTTP API + optional MCP)
- Host-native automation for desktop, browser, files, APIs, vision/OCR
- Package workflows as reusable skills, Python, or standalone executables
- Expose the same skills to Cursor, Claude, Copilot, and other MCP clients
What "no runtime AI" means
At runtime, skill invocation, quota enforcement, and license validation happen on your machine. You are not sending every click sequence to a cloud model just to replay yesterday's process.
Example paths
- Browser: open a site, search, extract rows, write CSV
- ERP: reuse a configured SAP connection and drive a transaction
- AI design via MCP: record desktop steps, analyze parameters, package an EXE
Who it is for
If you already live in Cursor/Claude and keep re-doing the same desktop or browser choreography, VisualBuild is built for that path: capture once, run many times, optionally call the skill as an MCP tool.
Try it: https://www.visualbuild.me
I'm the maker — happy to answer questions about recording, packaging, and MCP exposure.
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