diff --git a/next.config.mjs b/next.config.mjs
index f0a931e1..416b807c 100644
--- a/next.config.mjs
+++ b/next.config.mjs
@@ -71,6 +71,7 @@ const permanentRedirects = [
     "/docs/reference/python/middleware/encryption",
     "/docs/features/middleware/encryption-middleware?guide=python",
   ],
+  ["/blog/nextjs-openai-o1", "/blog/agentic-workflow-example"],
 ];
 
 async function redirects() {
diff --git a/pages/blog/[slug].tsx b/pages/blog/[slug].tsx
index 432556a2..a7dbb753 100644
--- a/pages/blog/[slug].tsx
+++ b/pages/blog/[slug].tsx
@@ -75,6 +75,7 @@ const authorURLs = {
   "Bruno Scheufler": "https://brunoscheufler.com",
   "Lydia Hallie": "https://x.com/lydiahallie",
   "Joe Adams": "https://www.linkedin.com/in/josephadams9/",
+  "Charly Poly": "https://x.com/whereischarly",
 };
 
 export default function BlogLayout(props) {
diff --git a/pages/blog/_posts/nextjs-openai-o1.mdx b/pages/blog/_posts/agentic-workflow-example.mdx
similarity index 96%
rename from pages/blog/_posts/nextjs-openai-o1.mdx
rename to pages/blog/_posts/agentic-workflow-example.mdx
index 3e12b682..b4d7a5d2 100644
--- a/pages/blog/_posts/nextjs-openai-o1.mdx
+++ b/pages/blog/_posts/agentic-workflow-example.mdx
@@ -1,8 +1,8 @@
 ---
-heading: "Replacing complex UX patterns with Next.js and OpenAI o1"
+heading: "Agentic workflow example: importing CRM contacts with Next.js and OpenAI o1"
 subtitle: A reimagined contacts importer leveraging the power of reasoning models with Inngest
 showSubtitle: true
-image: /assets/blog/nextjs-openai-o1-preview/featured-image-2.png
+image: /assets/blog/nextjs-openai-o1-preview/featured-image-3.png
 date: 2024-10-17
 author: Charly Poly
 disableCTA: false
@@ -15,6 +15,8 @@ _Such UI is a slow and tedious experience for the end-user and a challenge to ma
 
 In this article, we will review a demo CRM Next.js putting a contacts import feature on autopilot, remarkably demonstrating the power of agentic workflows.
 
+If you want to follow along, you will find the full example project on GitHub: https://github.com/inngest/vercel-ai-o1-preview-crm-agent.
+
 ## What is an AI Agentic workflow?
 
 An Agentic workflow is a new pattern consisting of relying on model reasoning to achieve a goal instead of providing a series of static prompts.
@@ -30,8 +32,7 @@ Adding Agentic workflows to an application comes with many challenges:
 - **Reliability**: Agentic workflows rely on more tools than regular prompt-designed workflows. Adding more tools calling external APIs based on LLM-generated parameters raises the risk of failure. Recovering from failure enables the model to self-correct during the workflow execution.
 - **Unpredictability**: Pushing an agentic workflow to production requires setting up some safeguards on cost, duration, and output validation.
 
-Let's now look at our Next.js CRM demo, featuring an autopilot contacts import feature.
-We'll see that agentic workflows mostly reuse existing patterns found in Next.js  and can already be used today to bring brand-new capabilities to Next.js applications.
+This article will guide you through a Next.js CRM demo featuring an autopilot contacts import feature. We'll see how **Inngest helps deal with the challenges of agentic workflows by bringing long-running and retriable workflows** inside your Next.js application.
 
 ## Designing an agentic workflow with OpenAI o1
 
diff --git a/public/assets/blog/nextjs-openai-o1-preview/featured-image-2.png b/public/assets/blog/nextjs-openai-o1-preview/featured-image-2.png
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diff --git a/public/assets/blog/nextjs-openai-o1-preview/featured-image-3.png b/public/assets/blog/nextjs-openai-o1-preview/featured-image-3.png
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