Relevance AI is a place to build agents; Fasrad is an agent that already works — skip the canvas and just say what you want done.
Skip the canvas, the tools, and the workflow wiring — describe what you want done and Fasrad does it from its own inbox, calendar, and memory.
Relevance AI gives you a canvas. You assemble agents from tools, chain them into multi-step workflows, define inputs and outputs, and connect data sources — and when it's wired correctly you get a repeatable AI process that runs at scale. For a team standing up a customer-facing 'AI workforce' across departments, that control is the point. You decide exactly what each agent can touch and how the steps fan out.
Fasrad starts on the other side of that work. There is no canvas and no tool-chaining step. Each agent comes with a real email inbox, a connected Google Calendar, Sheets and Drive, a CRM, datastores it builds itself, and the ability to browse the live web — wired together out of the box. You tell it 'every Monday at 8, pull last week's replies from the sheet and draft follow-ups for anyone who didn't answer,' and it sets that up and runs it. The configuration that is a project in Relevance AI is a sentence in Fasrad.
Where the line falls:
Pick Relevance AI if you're an engineering or ops team building a controlled AI workforce into your product. Pick Fasrad if you want one agent that already has the inbox, the calendar, and the to-do list, and will run them for you starting four minutes from now.
These pages cover the adjacent jobs buyers usually compare before choosing an AI agent.
No, and that's the deliberate difference. Relevance AI gives you a canvas to compose agents from tools and chain them into workflows. Fasrad gives you an agent that already has email, calendar, CRM, datastores, and web access wired together — you instruct it in plain language instead of building it.
When you need explicit, auditable multi-step workflows, fine-grained per-tool control, multiple specialized agents working as a 'workforce,' or agents embedded into your own product and customer-facing flows at scale. That control and composability is Relevance AI's real strength, and Fasrad intentionally doesn't expose that layer. If your requirement is 'engineer a controlled AI process,' build it in Relevance AI.
No. Each Fasrad agent comes with its own email inbox, Google Calendar, Sheets, Drive, a CRM, private datastores it creates itself, and live web browsing already attached. You connect Google once during setup; there's no tool-node configuration step.
Yes. It polls its inbox, runs cron-style scheduled tasks you describe in plain words, fires on triggers like new_email or lead_captured, and proactively checks in. It acts between conversations rather than waiting for you to execute a workflow.
It's fully hosted — nothing to self-host or deploy. The same agent runs on the web at fasrad.com/chat, as a private Telegram bot, over email, and as a public embed chatbot on your site. One agent, one memory, across all of them.
$49/month or $490/year — cancel anytime Setup takes about four minutes and Fasrad is in public beta, so you can connect an agent and watch it run its first scheduled task before deciding.