How to Integrate Dyzo AI with OpenAI to Automate Agency Task Management

Dyzo AI + OpenAI: The Agency Automation Stack You've Been Missing

OpenAI's GPT models are powerful reasoners. Dyzo AI is your team's project management and time tracking backbone. Connect the two and you get an automation engine that handles the work most agencies dread — task creation, status reporting, client updates, and workflow management — automatically.

This guide shows you exactly how to integrate Dyzo AI with OpenAI GPT-4o using the Dyzo REST API, with practical examples your agency can use from day one.

Two Ways to Connect Dyzo with OpenAI

Depending on how you work, there are two integration paths:

1. Dyzo REST API + OpenAI API — Build custom automation scripts that use OpenAI to process content and Dyzo to manage the output
2. OpenAI Custom GPT with Dyzo actions — Create a Custom GPT in ChatGPT that connects to your Dyzo workspace via the API

We'll cover both. Start with whichever matches your technical comfort level.

Method 1: Dyzo REST API + OpenAI API (Python)

What You'll Need

• Dyzo API key — from Dyzo.ai → Profile → Apps & Keys → Developer Keys (see our full API keys guide)
• OpenAI API key from platform.openai.com
• Python 3.9+ with openai and requests libraries

Sample: Auto-Create Tasks From a Client Email

This script reads a client email, uses GPT-4o to extract action items, and creates them as tasks in Dyzo automatically:

import openai
import requests

DYZO_API_KEY = "your_dyzo_api_key"
OPENAI_API_KEY = "your_openai_api_key"
DYZO_PROJECT_ID = "your_project_id"

client = openai.OpenAI(api_key=OPENAI_API_KEY)

def extract_tasks_from_email(email_text):
    response = client.chat.completions.create(
        model="gpt-4o",
        messages=[
            {"role": "system", "content": "Extract a list of specific action items from this client email. Return as JSON array with fields: title, description, priority (low/medium/high)."},
            {"role": "user", "content": email_text}
        ],
        response_format={"type": "json_object"}
    )
    return response.choices[0].message.content

def create_dyzo_task(title, description, priority="medium"):
    headers = {
        "Authorization": f"Bearer {DYZO_API_KEY}",
        "Content-Type": "application/json"
    }
    payload = {
        "title": title,
        "description": description,
        "priority": priority,
        "project_id": DYZO_PROJECT_ID
    }
    response = requests.post(
        "https://api.dyzo.ai/v1/tasks",
        headers=headers,
        json=payload
    )
    return response.json()

# Example usage
email = """
Hi team, please update the homepage hero section with new copy,
fix the mobile nav bug, and send me a revised proposal by Friday.
Also need the Q2 report shared with the client by EOD.
"""

import json
tasks_json = json.loads(extract_tasks_from_email(email))
for task in tasks_json.get("tasks", []):
    result = create_dyzo_task(task["title"], task["description"], task["priority"])
    print(f"Created: {result.get('title', 'Unknown')}")

Run this once and four tasks appear in your Dyzo project instantly — no copy-pasting, no manual entry.

Method 2: Custom GPT With Dyzo API Actions

If you prefer no-code, you can build a Custom GPT in ChatGPT that connects to Dyzo via its REST API. This gives your whole team a chatbot interface for their Dyzo workspace.

Setting Up the Custom GPT

1. Go to ChatGPT → Explore GPTs → Create
2. In the Configure tab, click Add actions
3. Enter the Dyzo API base URL: https://api.dyzo.ai/v1
4. Add your Dyzo API key as a Bearer token in Authentication
5. Import the OpenAPI schema from your Dyzo API documentation
6. Set the system prompt (see example below)

System Prompt for Your Dyzo GPT

You are a project management assistant for our agency.
You have access to our Dyzo workspace via the API.
When asked about tasks, projects, or reports, always fetch
live data from Dyzo before responding. You can create tasks,
update statuses, assign team members, and generate reports.
Always confirm before making any destructive changes.
Format reports in clean markdown tables.

Once set up, anyone on your team can open the Custom GPT and say things like:

• "What are the overdue tasks in the Acme Corp project?"
• "Mark task #142 as completed and add a note that the client approved."
• "Generate a weekly billing report for all client projects."
• "What did the dev team work on this week?"

5 Automation Workflows That Save Agencies Hours Every Week

1. Automated Project Kickoff Checklist

When you sign a new client, have OpenAI generate a full project task list from your onboarding template and push it directly to Dyzo. No more copying tasks from a spreadsheet.

2. AI-Generated Weekly Client Reports

Every Friday, a script pulls completed tasks from Dyzo, sends them to GPT-4o with a report template, and outputs a polished client-facing summary. What used to take 90 minutes now takes 30 seconds.

3. Smart Task Prioritization

Send your full task list to GPT-4o with current deadlines and team capacity, and let it re-prioritize your backlog. The results go back into Dyzo with updated priorities.

4. Meeting Notes → Tasks

Paste meeting notes or a call transcript into your Dyzo GPT. It extracts action items, assigns them to the right team members, and sets deadlines — automatically.

5. Overdue Escalation Alerts

A daily script checks Dyzo for overdue tasks, uses GPT-4o to draft a polite follow-up message per assignee, and sends a summary to the project manager. Your team stays accountable without awkward check-in emails.

Combining With Dyzo's Time Tracking

Dyzo's time tracking gives GPT-4o something incredibly useful: actual hours data. Feed your Dyzo Desktop Timer exports into OpenAI and ask it to:

• Identify which projects are over budget
• Calculate profitability per client
• Spot patterns in time waste across the team
• Generate invoicing summaries based on tracked hours

This turns your time tracking data from a compliance exercise into a strategic tool.

Connecting to the Dyzo MCP (For Developers)

If you're building on OpenAI's Agents SDK or building tool-calling workflows, Dyzo's MCP server is the most direct integration path. The Dyzo MCP exposes all core Dyzo functions as tools that any LLM with tool-calling support can invoke — including GPT-4o.

See the full setup instructions in our Dyzo MCP Documentation.