Your AI is a brilliant builder and a terrible server.

Any tool that supports MCP, the open standard AI tools use to plug into other software, whether it runs on your computer or in the cloud. That includes Claude, ChatGPT, Cursor, Claude Code, Codex, VS Code, Gemini CLI, Lovable and Replit. Most connect in one step and sign in with your Lodol account, so there is no key to copy. Once connected, your AI can build, run and fix workflows, and only as far as your role in the workspace allows.

It can, and the script will work until something changes. Then someone owns the server it runs on, its schedule, the keys in its .env file, the libraries it pinned and the log nobody reads. Connected to Lodol, the same AI builds a workflow instead: Lodol runs it on its trigger, keeps the keys encrypted, emails you when a run fails and records every step. And anyone on your team can open it and see what it does.

Because an agent pays for tokens on every run, and can take a different path each time. A Lodol workflow is built once and then runs the same steps on every trigger, without calling a model unless a step asks for one. You still get judgment where you want it: add an AI step, or a condition decided in plain words, and only that step uses a model.

It is saved in your Lodol workspace, and your AI gives you the link. Open it, connect the apps it uses, and turn it on. Lodol asks for each connection at the step that needs it, so you sign in to Gmail when you reach the Gmail step rather than filling in a setup screen first. From then on it runs on its trigger, whether or not your AI tool is still open.

Into Lodol, not into your code or your chat. You connect each app in your workspace, and any key you add yourself is stored as an encrypted secret that workflows use by name. Your AI builds with those names and never sees the values. Credentials are encrypted in transit and at rest.

You get an email as soon as it does, and a notice in Lodol. The run shows every step it took, with timings, and the one that stopped it. Your AI can read the same run, work out what went wrong and fix the workflow, and every change is saved as a new version you can roll back.

The catalog has over 900 apps and more than 11,000 actions between them, and you can browse every one of them, action by action, in the integrations directory. When something genuinely is not there, a workflow can call its API directly with a Call an API step, so anything with an API is reachable even before we build a proper connector for it.

No. Ask Claude or ChatGPT for the workflow in plain words, the way developers ask Claude Code or Codex: it picks the apps, wires the steps together and sets the trigger. You can also build or change it yourself in the visual editor, one step at a time. If you do write code, you can drop a Python step in anywhere.

Lodol is priced per run, not per step: a run is one pass of a workflow, however many steps it takes. Free costs nothing, needs no credit card, and includes 200 runs a month, unlimited seats and three workflows running at once. Builder starts at $18 a month for 2,500 runs and Pro at $120 for 10,000; both add more workflows running at once and email support, and you choose how many runs you need. Enterprise is priced with us directly. Your AI tool's own plan is separate, and it only spends tokens while it builds or changes a workflow, not each time the workflow runs.