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Tool Stack

ChatGPT + Relevance AI: Project Management Stack

Pair ChatGPT (AI Writing) with Relevance AI (AI Chat) to automate project management. This stack creates a project ops system that helps teams increase team velocity by 20-30% through workflow automation. ChatGPT handles the ai writing side, generating outputs, analyzing patterns, and providing intelligent suggestions. Relevance AI complements this with ai chat capabilities, adding depth to the workflow. Together, they eliminate manual handoffs and create a continuous feedback loop that improves over time. Track your tasks completed per sprint to measure impact.

Tools in This Stack

ChatGPT

OpenAI's conversational AI for writing, analysis, and creative tasks

Relevance AI

AI agent platform for building business task automation

Setup Guide

  1. 1
    Define project templates for ChatGPT

    Sign up for ChatGPT and select the plan that covers your usage needs. Complete onboarding and configure initial settings for ai writing.

  2. 2
    Set up team workspaces for Relevance AI

    Set up Relevance AI with your team credentials. Import existing data and configure the workspace for ai chat.

  3. 3
    Configure notification rules for the integration

    Connect both tools using their native integration or a middleware like Zapier or Make. Verify data flows correctly in both directions.

  4. 4
    Build reporting dashboards for the integration

    Run a pilot workflow with real data. Measure baseline metrics, then iterate on the configuration to optimize tasks completed per sprint.

Integration Steps

  1. 1
    Connect project tools for ChatGPT

    Configure ChatGPT API or export settings to share data with Relevance AI. Set up authentication and test the connection with sample data.

  2. 2
    Configure automated assignments for Relevance AI

    In Relevance AI, configure the intake to process data from ChatGPT. Map fields and validate the format matches expectations.

  3. 3
    Set up progress tracking for both tools

    Build the automated workflow that triggers Relevance AI actions based on ChatGPT outputs. Test with 10 sample items before going live.

  4. 4
    Enable status reporting for the workflow

    Set up monitoring to catch integration failures. Configure Slack or email alerts for errors and add weekly summary reports.

Cost Analysis

ItemCost
Total$20-50/mo (usage-based) + $29/mo
ChatGPT$20-50/mo (usage-based)
Relevance AI$29/mo

Ehsan's Recommendation

Most teams over-invest in individual tools and under-invest in the connections. This stack fixes that for ai writing and ai chat tools. With ChatGPT feeding into Relevance AI, you remove the biggest friction point in most project management workflows. The setup takes about 2 hours. The time savings compound weekly. Most teams break even by day 3.

Alternative Stacks

Rytr + Relevance AIChatGPT + Intercom Fin
EJ

Ehsan Jahandarpour

AI Growth Strategist & Fractional CMO

Forbes Top 20 Growth Hacker · TEDx Speaker · 716 Academic Citations · Ex-Microsoft · CMO at FirstWave (ASX:FCT) · Forbes Communications Council

Frequently Asked Questions

How do ChatGPT and Relevance AI work together?
Pair ChatGPT (AI Writing) with Relevance AI (AI Chat) to automate project management. This stack creates a project ops system that helps teams increase team velocity by 20-30% through workflow automation. ChatGPT handles the ai writing side, generating outputs, analyzing patterns, and providing intelligent suggestions. Relevance AI complements this with ai chat capabilities, adding depth to the workflow. Together, they eliminate manual handoffs and create a continuous feedback loop that improves over time. Track your tasks completed per sprint to measure impact.
How much does the ChatGPT + Relevance AI stack cost?
Total estimated cost: $20-50/mo (usage-based) + $29/mo. ChatGPT: $20-50/mo (usage-based). Relevance AI: $29/mo.
What are the alternatives to this stack?
Alternative stacks include: Rytr + Relevance AI, ChatGPT + Intercom Fin.