Explore everything we've researched, built, tested, and learned.

Insight

How to Build an AI Content Repurposing Pipeline: From a Single Blog Post to 15 Social Media Assets

Learn how to build an AI-powered content repurposing workflow that transforms one blog post into 15 social media assets using n8n, AI, and automation. Follow the practical implementation to generate platform-specific content, validate outputs, and streamline your content distribution process.

Oct 29, 2026→

Technical dive·Lead Enrichment Automation: Complete Guides & Tutorials

The Silent Killer of Lead Enrichment: 9 Workflow Failures That Break Your CRM Data

Lead enrichment workflows can silently corrupt CRM data through duplicate records, incorrect identity matching, stale information, unsafe field updates, and API failures. This practical guide breaks down nine common failure scenarios, with independent code examples, reproducible tests, and fixes for building more reliable enrichment automation.

Oct 26, 2026→

Technical dive·Lead Enrichment Automation: Complete Guides & Tutorials

Your Workflow Says Success, But Your CRM Never Updated: How to Detect and Fix Silent Failures

Your workflow reports success, but your CRM never updates. Learn how to detect missing, partial, and delayed CRM writes with destination-state verification, a practical Python implementation, and automated tests.

Oct 23, 2026→

Technical dive·Lead Enrichment Automation: Complete Guides & Tutorials

Why Your No-Code Lead Enrichment Is Blasting Your API Budget (And How to Fix It)

Discover how duplicate API calls, inefficient enrichment workflows, and missing caching can inflate your lead enrichment costs. Learn practical ways to optimize API usage with n8n, Python, and custom code.

Oct 23, 2026→

Technical dive·Lead Enrichment Automation: Complete Guides & Tutorials

Clay vs. n8n vs. Zapier vs. Make vs. Custom Code: Choosing the Right Lead Enrichment Stack in 2026

Compare Clay, n8n, Zapier, Make, and custom code for lead enrichment. Explore pricing, flexibility, scalability, and the best stack for your business.

Oct 23, 2026→

Technical dive

Why Current LLM Workflows Fail Heavy Developers: Token Limits, Context Degradation, and Building Your Own Way Out

As developers push AI assistants into long-running coding sessions and complex projects, token limits, context degradation, and usage restrictions become real bottlenecks. Explore why these workflows break down and how building a custom AI agent runtime can give developers greater control over context, memory, and task execution.

Oct 22, 2026→

Technical dive·Lead Enrichment Automation: Complete Guides & Tutorials

How to Build an n8n Lead Enrichment Workflow: A Beginner-Friendly, Self-Hosted Guide

Learn how to build a basic self-hosted n8n lead enrichment workflow that accepts a company CSV, validates company data, detects duplicates, extracts website signals, assigns transparent lead scores, and exports the results to CSV. This hands-on guide walks through the workflow, explains the code behind each step, highlights common debugging challenges, and covers the limitations and best practices to consider when extending it for real-world use.

Oct 21, 2026→

Technical dive·Lead Enrichment Automation: Complete Guides & Tutorials

How to Build a No-Code Lead Enrichment Workflow

xplore a visual architecture for a no-code lead enrichment workflow, from capturing leads and detecting duplicates to validating enriched data, handling errors, and updating a CRM. Learn how each stage fits together before building the workflow with an automation platform.

Oct 17, 2026→

Case study

Building Causly Server: An Open-Source MCP Server for AI-Assisted Software Development

What if your AI agent had hands? Meet Causly Server, an open-source MCP server that connects AI coding agents with development tools to coordinate code changes, GitHub workflows, CI troubleshooting, and deployment—all through a unified interface. Here's the story behind building it, the problems it solves, and the lessons learned along the way.

Oct 17, 2026→