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.

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Profile of 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 20.2% decline in traffic, with 606.6K visits in July. The recent $24 million Series B funding and the introduction of new features like a no-code multi-agent builder and text-to-agent generator did not boost traffic. The decline may be attributed to intense competition from other AI agent platforms and the lack of significant market differentiation.

View history traffic

Relevance AI Review: No-Code AI Solutions for Businesses

How to Use Relevance AI: A Comprehensive Guide

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