Gumloop is a canvas you draw; Fasrad is an agent you talk to — set up a recurring task in one sentence, no nodes, no broken edges.
Set up a recurring task by typing one sentence — no nodes, no triggers panel, no debugging a broken edge at 11pm.
Gumloop is a canvas. You drop nodes, wire them edge to edge, map the output of one box into the input of the next, and pray the JSON shape matches. When a step breaks you open the run log and trace which node returned null. It's powerful, and it's also a part-time job. Most people who want "email the new leads from this sheet every Monday" do not want to maintain a flowchart to get it.
Fasrad skips the canvas. You get one agent with a real inbox, a Google Calendar, Sheets and Drive access, a CRM, private databases it builds itself, and web search. You set up automation by telling it what you want in plain words — "every weekday at 8, check my inbox, draft replies to anything from a client, and Telegram me a summary." It schedules the task, runs it on its own, and writes back. No graph to maintain.
The difference shows up most when the work isn't a fixed pipeline. A Gumloop flow does exactly the steps you wired. An agent reads the actual email, decides this one is a refund request and that one is a press inquiry, and handles each differently — because it's reasoning over the content, not pushing every item through the same nodes.
Where Fasrad fits better:
Gumloop is the better pick when you genuinely need a deterministic, branching pipeline with many third-party integrations wired explicitly and a visual audit of every step. Fasrad is the better pick when you want an operator you talk to, not a diagram you maintain.
These pages cover the adjacent jobs buyers usually compare before choosing an AI agent.
No. There's no canvas and no nodes. You tell the agent what you want and when, in normal sentences. It converts that into a scheduled task or an event trigger and confirms the timing back to you. To change it, you just ask.
A Gumloop run executes the exact node graph you drew, every time. A Fasrad task runs an agent that reads the actual data and decides what to do per item. So "reply to client emails" handles a refund and a scheduling question differently, instead of pushing both through one fixed path.
Yes. new_email fires when mail hits the agent's inbox, lead_captured fires when someone submits the embedded chatbot, and new_public_message fires on inbound public chat. You don't wire a webhook source — these are built in and you describe what should happen when they fire.
If you need a deterministic, heavily-branched pipeline with dozens of explicit third-party integrations and a visual step-by-step audit of every run, Gumloop's canvas is genuinely stronger — you can see and pin exactly what each node did. Fasrad trades that visual determinism for an agent that reasons. There's no node-graph importer either, so an existing Gumloop flow is rebuilt by describing the outcome, not migrated.
It can browse full pages including JS-heavy ones, run web searches, and call any REST API with custom auth — so you can hit services Fasrad doesn't have a built-in skill for. It's not a library of hundreds of pre-wired connectors like Gumloop; you point it at the API and describe what to do.
$49/month or $490/year — cancel anytime Setup takes about four minutes — name the agent, give it a personality, connect Google if you want calendar and Sheets, and start typing. It's in public beta.