Educational Content & AI App Insights

Learn from Real AI App Disasters

Detailed postmortems, technical breakdowns, and practical advice for avoiding (and fixing) broken AI-generated apps.

Latest Articles

Real failures, real solutions, real lessons learned

Featured
Building Reliable AI Agents: The Minimal Roadmap from Simple to Scalable
Stop overbuilding: Most AI agents fail because they introduce LLM complexity too early. Implement the Simplicity-First Reliability Model (SFRM) to build a stable, deterministic agent core before adding advanced reasoning.
6 min

FixBrokenAIApps Team

Educational Blog for AI Developers

Featured
The Agent Test Gap: Why Repeatability and Hallucinations Sabotage AI Apps
Non-deterministic behavior is killing your production AI agents. Learn how to implement The Agent Repeatability Contract (ARC) to close the test gap, control hallucinations, and ensure reliable deployment.
6 min

FixBrokenAIApps Team

Educational Blog for AI Developers

Featured
From Demo to Reality: Closing the Production Gap in AI Agent Workflows
Why most 'AI agents' fail in production: they lack robust observability. Learn how to implement an Observability-First Agent Architecture to ensure real-world AI agent reliability.
6 min

FixBrokenAIApps Team

Educational Blog for AI Developers

Featured
Building Reliable AI Agents: Why Multi-Step Workflows Break and How to Fix Them
Multi-step agent workflows suffer from compounding failure risk. Learn how to implement step-level validation and self-correction to dramatically improve **AI agent reliability**.
6 min

FixBrokenAIApps Team

Educational Blog for AI Developers

Featured
How to Build Reliable AI Agents: A Guide to Workflow Orchestration
Multi-step task failure is a top challenge for developers. This guide explains how to build a stateful orchestration layer to ensure robust AI agent reliability and improve AI system stability.
6 min

FixBrokenAIApps Team

Educational Blog for AI Developers

Featured
Tracing the Invisible: How to Debug Multi-Agent AI Workflows
Multi-agent AI systems often fail silently. Learn how to instrument, trace, and debug invisible chains of LLM calls to improve AI app reliability and ensure AI system stability.
8 min

FixBrokenAIApps Team

Educational Blog for AI Developers

About FixBrokenAIApps

We document real-world failures of AI-generated applications and share practical solutions. Our goal is to help developers and business owners avoid common pitfalls when building with AI coding tools like Replit, Lovable, Bolt, Cursor, and others.