We Rewrote FastMCP's Backend (Here's Why) | Py AI Conference March 10th

How Clay Made Their AI Agents 10x Faster at Scale | Py AI NYC

AI Agents Fix/Break Everything: Building Prefect MCP Server & Pydantic AI Integration

Big Data LDN | FastMCP: Model Context Pragmatism | Adam Azzam

Big Data LDN | From Code to Context: How I've Adopted LLMs and MCP Servers | Sean Williams

You Had Notes. We Took Them. (Prefect Run Page Update)

Building Type-Safe AI Agents with Pydantic AI, Logfire, and FastMCP | Py AI NYC

FastMCP 2.14 ships tasks + remix servers solve MCP's biggest workflow problem

Build Better Data Pipelines with Prefect + Bauplan | Webinar

Ramp Research: Building an AI Data Analyst That Answers 1,000 Questions Weekly | Py AI NYC

MCP Protocol Update: SEP 1686, Background Tasks & The Inverted Agent Explained with Jeremiah Lowin

Prefect's Origin Story (and why we rebuild everything)

FastMCP One Year Later: SEP-1686 and What's Actually Working in Production | Adam Azzam, Prefect

PY AI NYC | November 21st, 2025

MCP Steering Committee Panel Discussion | GitHub Universe 2025

Introducing Prefect's MCP Server

PY AI SF | November 11th, 2025

MCP Universe Highlights: Steering Committee on Protocol Design & the Agentic Future

Building AI Agents with MCP and Business Context | Bryan Bischof & Adam Conway of Theory

dbt and the Future of Analytics Engineering | A Conversation with Jason Ganz

Introducing FastMCP Cloud

Python Workflow Orchestration: How Relativity Processes 300K+ Documents Daily with Prefect

PAL 106: Get More Out of Your Workflows – Interaction, Concurrency, and Advanced Automation

PAL 105: Workflow Design Patterns – Compose Workflows That Meet Your Needs

PAL 104: Work Pool-Based Deployments and Infrastructure Management

PAL 103: Work With Data & Create Automatic Alerts

PAL 102: Orchestration & Observation – Understand Workflow State and Guard Against Failure

PAL 101: Prefect Basics – Write Workflows You Can Schedule and Monitor

Introducing Assets: From @task to @materialize

Build an Asset Graph from Your Python Pipeline (Prefect Assets Demo)

This AI Tried to Lie About Prefect. Nate Made It Read the Docs

How to Roll Back Deployments in Prefect Using Deployment Versioning

Complete Visibility: The Future of Operational Intelligence

Scaling Smarter: Enterprise Workflow Management Done Right

Beyond Scheduling: Building Self-Healing Workflows

The Open Source Journey: Community, Growth, and Looking Ahead

Building an Event-Driven Baseball Data Pipeline with Prefect, dbt, Snowflake & Hex

The Big Picture: Zooming Out From Tasks to Trust

Baseball Data Engineering: From MLB Stats to Snowflake with Prefect

Prefect Harmony

How Boston University Prefects

How They Prefect: Kirill Egorov at SilverTide

How Relativity Prefects: Orchestrating Generative AI Models

Introducing Prefect 3.1.0: Using prefect.toml

Engineering Robust Data Pipelines: Rec Room's Approach with dbt and Prefect

Orchestrating Fashion's Data Runway: How Rent the Runway Leverages Prefect and dbt

Supercharging dbt: 3 Ways Prefect Enhances Your Data Workflows

Better together, dbt and Prefect

ControlFlow: Orchestrating, Observing and Trusting Agentic AI Workflows

Building Blocks for Orchestration Platforms by Wendy Tang, Cash App

Prefect Summit Industry Keynote by Chris Riccomini

Building Data Pipelines for Workforce Analytics by John Kang, Cox Automotive

From Chaos to Clarity: Managing Data Lakes with Prefect

Prefect 3.0: A Framework to Build Resilient Pipelines

Task Failed Successfully: Navigating Failure with Transactional Orchestration

Trigger your code to run when a webhook fires

Deploy your Python code in minutes

Dynamic Event-driven Workflows with Prefect Cloud

How to Deploy & Schedule Data Workflows w/ Prefect

The Orchestration Education Station at the Modern Data Stack Conference 2023