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Relevance AI Tutorial

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Verified Featured Tool Beginner 7 Videos

Build and deploy autonomous AI agent workforces for sales, marketing, and operations — no code required.

Freemium: Starting at $19/mo
Updated: April 4, 2026

Relevance AI Tutorials

Comprehensive video guides for Relevance AI. Watch step-by-step and master the tool.

Tutorial video 1 #1
Relevance AI Tutorial – Part 1
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Relevance AI Tutorial – Part 2
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Tutorial video 3 #3
Relevance AI Tutorial – Part 3
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Tutorial video 4 #4
Relevance AI Tutorial – Part 4
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Tutorial video 5 #5
Relevance AI Tutorial – Part 5
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Tutorial video 6 #6
Relevance AI Tutorial – Part 6
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Tutorial video 7 #7
Relevance AI Tutorial – Part 7
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Quick Overview

Platform Purpose

What is Relevance AI?

Relevance AI is a no-code platform for building, deploying, and managing autonomous AI agents and multi-agent workforces. Founded in 2020 by Daniel Vassilev, Jacky Koh, and Daniel Palmer in Sydney, Australia, it helps GTM teams automate sales, marketing, customer support, and operations workflows at scale without writing code.

Key Capabilities

Main Features

  • Visual No-Code Flow Builder — link LLM steps, tools, and conditions together with a drag-and-drop interface to create custom agent logic from scratch.
  • Multi-Agent Workforces — chain specialized agents into collaborative teams that handle end-to-end GTM workflows like lead research, CRM enrichment, and outbound outreach in sequence.
  • 2,000+ App Integrations — connect agents to HubSpot, Salesforce, Gmail, Google Sheets, Slack, LinkedIn, and more so they take real actions, not just generate text.
  • Smart Escalations — agents automatically detect tasks they can't resolve and route them to a human reviewer, preventing silent failures in critical sales workflows.
  • Bring Your Own LLM — swap between GPT-4o, Claude 3.5 Sonnet, Gemini, or a custom fine-tuned model per agent to control cost and output quality independently.
  • Agent Templates Marketplace — clone pre-built BDR, Research, Inbound Qualification, and Customer Support agents in one click and customize them for your playbook.
  • Programmatic GTM — build and deploy agents directly inside Claude Code, Cursor, or OpenAI Codex, bridging no-code and pro-code teams on a single platform.
  • A/B Testing and Analytics Dashboard — test agent prompt variations and track task performance metrics to continuously optimize your AI workforce (Team plan and above).

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