Keeping up with AI trends is important. But real impact? That starts when you create something of your own. After curating the top AI newsletters every PM should follow, it's time to shift gears — from reading to building.
Today, we'll show you how to build your own AI agent that automatically reads, summarizes, and delivers insights from those newsletters directly to your inbox. This practical guide will take you from concept to working solution with multiple implementation options, from no-code approaches to light coding solutions using Replit*. (*Note: Replit has not sponsored us to write this post :))
What Is an AI Agent?
Before we dive into building, let's clarify what we mean by an "agent":
An AI agent is an autonomous or semi-autonomous system that performs specific tasks with minimal human intervention. Unlike basic AI tools that only respond to direct prompts, agents can:
Work independently – Complete assigned tasks without constant guidance
Maintain memory – Retain context about your preferences and past interactions
Take initiative – Make appropriate decisions within defined parameters
Integrate with workflows – Connect with your existing tools and processes
For our newsletter agent, this means a system that automatically collects content, applies your preferences for what's important, summarizes it effectively, and delivers it to you on schedule.
Building Your Newsletter Summarization Agent: Step-by-Step
Step 1: Define Your Agent's Exact Job
First, let's specify what our agent should do:
Primary objective: Regularly collect, filter, and summarize content from the five newsletters we recommended (The Rundown AI, The Superhuman, Mindstream, The Neuron, and Ben's Bites), delivering only the most relevant insights based on your interests.
Success criteria:
Consistently captures the most important updates across all newsletters
Provides summaries that are concise yet complete (no more than 5 bullet points per newsletter)
Accurately identifies articles matching your specific interests
Delivers insights when and where you need them
Step 2: Choose Your Technology Stack
You have several options for building your agent, depending on your comfort with coding:
No-Code Option:
Email forwarding – To collect newsletter content
Claude – As the cognitive engine for summarization and filtering
Zapier or Make – For orchestration and connecting components
Personal email – For delivery of insights
Light-Code Option with Replit:
Replit – A browser-based development environment that requires minimal setup
RSS feeds – For reliable newsletter content collection
Claude API – For advanced summarization capabilities
Basic Python – For customization and control
The no-code approach requires no programming while the Replit option gives you more flexibility and control with minimal coding requirements.
Step 3: Set Up Your Content Collection System
You have two main options for collecting newsletter content:
Option A: Email Collection (No-Code)
Create a dedicated email address for your agent (e.g., newsletter-agent@gmail.com)
Subscribe to all five newsletters using this address
Set up email forwarding rules to automatically send these newsletters to your processing system
For enhanced organization:
Add a label or folder called "Newsletters" to keep these separate from other content
Configure your forwarding to only include emails with this label
Option B: RSS Feed Collection (Replit)
RSS feeds provide several advantages over email collection:
Cleaner content – No email signatures, footers, or formatting issues
More reliable parsing – Structured data that's easier to process
No authentication issues – No need to store email credentials
Historical access – Many RSS feeds maintain past entries
Direct links – Easy access to original articles
Step 4: Build Your Summarization Engine
Now, let's create the intelligence behind your agent:
No-Code Approach:
Create a Zapier account (or Make/n8n if you prefer)
Set up a new "Zap" with this trigger: "When a new email arrives in Gmail with label 'Newsletters'"
Add a Claude step using their official integrations
Create your prompt template:
You are a specialized AI agent for a product manager who needs to stay informed about AI trends and tools. Your job is to read the following newsletter and extract only the most valuable insights relevant to product management, focusing particularly on:
New AI tools that could enhance product development
Case studies of successful AI implementation
Emerging trends that may affect product strategy
Practical techniques for applying AI to PM workflows
The newsletter content is below:
{newsletter_content}
Create a concise summary with these components:
The 3-5 most important insights for a product manager
One specific action item the PM could take based on this content
Any tools mentioned that are worth investigating
Add a final step to send the output to your personal email
Replit Approach:
Create a Replit account at replit.com
Start a new Python project named "newsletter-agent"
Connect to the Claude API by storing your API key securely in Replit's Secrets
Create a simple script that fetches RSS feeds, processes content, and calls Claude
Schedule regular execution using Replit's "Always On" feature
The Replit approach gives you more control over processing and allows integration with additional tools and services.
Step 5: Enhance With Personal Relevance Filtering
To make your summaries truly valuable, add personalization:
Create a "preferences document" listing your specific interests, current projects, and knowledge gaps
Modify your prompt to include the preferences:
Store this in your system (Zapier for no-code, Replit variables for code)
This simple addition dramatically improves relevance, essentially teaching your agent what matters to you specifically.
Step 6: Set Up Delivery On Your Terms
Configure how and when you receive insights:
Schedule consolidation – Have your agent collect newsletters throughout the week but only send summaries on Friday mornings
Format for readability – Structure the email with clear headings, bullet points, and emphasis on key points
Include metadata – Add links to original sources and publish dates for reference
For advanced delivery (easier with Replit):
Send summaries to your task management tool (like Notion or Asana) instead of email
Create different delivery schedules for different topics
Generate weekly trend reports across all newsletters
Step 7: Implement Feedback Mechanisms
Create a simple way to improve your agent over time:
Add a rating system at the bottom of each summary email (1-5 stars)
Create a quick feedback capture ("What could be improved about this summary?")
Include the feedback in the next processing cycle by storing it in a database or file
With Replit, you can build a more sophisticated feedback system that automatically adjusts your agent's behavior based on your ratings and comments.
Expanding Your Agent Ecosystem
Once your newsletter agent is running smoothly, consider these extensions:
Extension 1: Cross-Newsletter Insight Mining
Modify your agent to identify connections across different newsletters:
Collect all newsletters for the week before processing
Add a "Trending Topics" section to identify themes appearing in multiple sources
Create a "Contradictory Perspectives" flag when newsletters have opposing viewpoints on the same topic
This meta-analysis often reveals insights individual newsletter authors miss.
Extension 2: Automated Resource Library
Have your agent maintain a personal knowledge base:
Set up a Notion database for tools, techniques, and concepts
Add a step to your workflow that extracts these elements from newsletters
Configure auto-categorization based on your defined taxonomy
Over time, this builds a searchable repository of AI resources tailored to your needs.
Why Replit Is Ideal to Build Agents
For product managers looking to go beyond no-code solutions, Replit offers several advantages:
Browser-based development – No need to install anything locally
Persistent environment – Your agent runs 24/7 in the cloud
Built-in database – Store preferences and past summaries without additional services
Easy monitoring – See logs and troubleshoot issues in real-time
Gradual customization – Start simple and add features as your skills grow
Even if you've never coded before, Replit's interactive environment makes it easy to start small and learn as you go.
The Bottom Line: From Consumer to Creator
In our initial AI article, we emphasized that AI-fluent PMs will replace those who don't adapt. Building your own agents takes this to the next level—transforming you from a consumer of AI tools to a creator of AI systems that amplify your capabilities.
Your newsletter agent isn't just a time-saver; it's your first step toward building a personalized AI support team that works exactly the way you need it to. Whether you choose the no-code approach or dive into Replit, you're developing an essential skill.
💬 What other tasks would you like to automate with an agent? Share in the comments!
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