How do I build an agent with Relevance AI?

To build an agent: 1) Create a new agent with a name, avatar, and description to establish its identity 2) Add AI Tools that give the agent skills like converting YouTube transcripts to blogs 3) Set triggers that specify when skills should activate 4) Start interacting with your agent using natural language

Which LLM providers does Relevance AI support?

Relevance AI supports multiple LLM providers including OpenAI, Anthropic, Cohere, PaLM, and more. Users can switch between different providers based on their needs.

What security features does Relevance AI offer?

Relevance AI offers robust security features including: SOC 2 (Type II) certification, GDPR compliance, choice of data storage location (US, EU, or AU data-centers), role-based access control, AES-256 encryption for data at rest, TLS for data in transit, and they never store or train on customer data.

What are AI Tools in Relevance AI?

AI Tools are capabilities given to AI Agents to complete work. They can be custom integrations, LLM prompt chains, or traditional automations. Users can build custom integrations, connect to APIs, use pre-built third-party integrations, or execute custom code with the Tool Builder.

Relevance AI Howto

WebsiteFree TrialAI Code Assistant Multi-purpose Tools

Relevance AI is a no-code platform that enables businesses to build and deploy custom AI agents and automation workflows by creating an AI workforce equipped with specific tools and capabilities.

More Information

Profile of Relevance AI

Overview

Analytics

What is Relevance AI

Features of Relevance AI & Use Cases

How to Use Relevance AI

Sign Up: Go to Relevance AI website and click 'Sign Up'. Enter your email and password to create an account, or sign up with your Google account. Follow the sign-up wizard to choose your data storage region.

Create a Project: Click on 'Settings' in the hamburger menu. Click on 'Projects' and select the default project or create a new one for your team. You can invite team members by clicking 'Invite user' and entering their email.

Create an AI Agent: Give your agent a name, avatar, description to establish its identity. You can either create a brand new agent or use one of the existing agent templates.

Add AI Tools: Equip your agent with tools/skills like API calls, data processing, etc. Tools give agents abilities like converting YouTube transcripts into blogs. You can use pre-built tools from templates or create custom ones.

Configure Tools: For each tool, add inputs by clicking '+ Add input' button. Configure the variable names and input types based on your needs. Tools can be customized to follow your standard operating procedures.

Set Triggers: Specify conditions when a skill/tool should activate. For example, trigger a tool when the agent receives certain queries or inputs.

Test and Deploy: Start interacting with your agent using natural language to test its capabilities. Once satisfied, deploy it to handle real tasks. The agent will improve as it has more conversations.

Scale and Monitor: Scale agents up or down based on demand. Monitor their performance through the platform. You can adjust and improve the agents' capabilities over time based on results.

Relevance AI FAQs

An AI Workforce is a digital team that helps complete mundane and repetitive tasks. It consists of AI Agents equipped with Tools specific to your business operations crafted by domain experts. Relevance AI provides a single platform to create Tools, equip them to Agents and deploy them as a Multi-Agent System (MAS).

Relevance AI Monthly Traffic Trends

Relevance AI experienced a 17.0% decline in traffic, with visits dropping from 788.6K to 654.4K. While the company made several announcements in February 2025 as part of Google's broader AI initiatives, the lack of direct product updates and the intense competition from other AI tools and platforms might have contributed to this decline.

View history traffic

Relevance AI Review: No-Code AI Solutions for Businesses

How to Use Relevance AI: A Comprehensive Guide

Latest AI Tools Similar to Relevance AI

Gait

FreemiumAI Code Assistant AI Team Collaboration

Gait is a collaboration tool that integrates AI-assisted code generation with version control, enabling teams to track, understand, and share AI-generated code context efficiently.

invoices.dev

PaidAI Code Assistant AI Developer Tools

invoices.dev is an automated invoicing platform that generates invoices directly from developers' Git commits, with integration capabilities for GitHub, Slack, Linear, and Google services.

EasyRFP

Contact for PricingAI Code Assistant AI Data Mining

EasyRFP is an AI-powered edge computing toolkit that streamlines RFP (Request for Proposal) responses and enables real-time field phenotyping through deep learning technology.

Cart.ai

Contact for PricingAI Code Assistant AI Task Management

Cart.ai is an AI-powered service platform that provides comprehensive business automation solutions including coding, customer relations management, video editing, e-commerce setup, and custom AI development with 24/7 support.

Popular AI Tools Like Relevance AI

DeepSeek

FreemiumAI Chatbot AI Code Assistant

DeepSeek is a pioneering AI company specializing in advanced language models for code generation, creative content development, and natural language interaction, delivering industry-leading performance across open-source and enterprise ecosystems.

GitHub Copilot Chat

PaidAI Code Assistant AI Code Generator AI Developer Tools

GitHub Copilot Chat is an AI-powered coding assistant that provides natural language interactions, real-time code suggestions, and contextual support directly within supported IDEs and GitHub.com.

CopilotForXcode

FreemiumAI Code Assistant AI Code Generator AI Code Refactoring

CopilotForXcode is an Xcode Source Editor Extension that integrates GitHub Copilot, Codeium, and ChatGPT to provide AI-powered code suggestions, chat assistance, and prompt-to-code functionality within Xcode.

BrowserAI

FreeAI Browsers Builder AI Code Assistant

BrowserAI is an open-source library that enables running local Large Language Models (LLMs) directly in web browsers with WebGPU acceleration, offering privacy-focused AI capabilities without requiring server infrastructure.

Relevance AI Howto