Relay.app gives you a node editor; Fasrad gives you an agent — its own inbox, calendar, and CRM, briefed in a sentence.
Relay.app gives you a node editor and a trigger list; Fasrad gives you an agent with its own inbox, calendar, and CRM that you brief in a sentence.
Relay.app is a good builder. You map a flow, drop in a trigger, wire each step to the next, add an AI step where you want a model to write something, and test until the branches behave. It works. The cost is that you are now the integration engineer: every new case — a different sender, an attachment, a reply that doesn't fit the path — is a new branch you go back and draw.
Fasrad starts from the other end. You don't draw steps. You tell an agent what its job is, give it the inbox and the sheet and the calendar, and it decides the steps each time. "When a sales email lands, pull the company off their site, log the contact, and draft a reply in my voice" is the whole setup — not a canvas with eight connected nodes and a fallback path you forgot to add.
Where the two diverge:
If your process is a clean, stable pipeline you're happy to maintain in a canvas, Relay is a fair pick. If the work is messy and you'd rather brief a competent assistant than maintain a flowchart, that's Fasrad.
These pages cover the adjacent jobs buyers usually compare before choosing an AI agent.
There's no flow importer — the models are too different. But you usually don't recreate a flow at all. A six-node Relay flow that triages email and drafts a reply collapses into one or two sentences of instruction here, because the agent figures out the steps instead of you laying them out. Most people port the intent, not the nodes, and it's faster than it sounds.
Two things. First, breadth of native app integrations — Relay has prebuilt connectors to dozens of SaaS tools out of the box; Fasrad talks to Google, browses the web, and calls any REST API, but it isn't a directory of one-click connectors. Second, deterministic auditability: a Relay flow does exactly the same steps in the same order every run, which some teams need for compliance. An agent reasons each time, which is the point but isn't a fixed audit trail.
It shows its reasoning and the tools it used on every run, and side-effects are suppressed during its planning pass — it plans first, then acts. For anything that sends or changes data you can keep a human in the loop. Bulk datastore changes default to a dry run and every commit is snapshotted so you can undo it.
Yes. The same trigger idea: new_email fires it when mail arrives, new_public_message when someone messages the embed widget, lead_captured when a form is filled. Plus scheduled cron tasks you set up by describing them, and proactive check-ins that aren't tied to any trigger.
One agent runs on web chat at fasrad.com/chat, as a private Telegram bot, over its own email inbox, and as a public embed chatbot you drop on your site with a script tag — lead capture and rate limiting included. Same memory and tools everywhere.
$49/month or $490/year — cancel anytime Setup takes about four minutes and it's in public beta. Relay meters on task runs against a monthly credit allowance, so a busy month costs more; here you brief the agent for a flat price and don't count runs.