The Founder's Guide to AI Engineering

In-depth coverage of AI engineering for B2B SaaS founders. Analysis, technical breakdowns, and implementation guides from the field. Subscribe for weekly insights. No spam.

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Choosing an LLM for Voice Agents: GPT-4.1, Sonnet 4.5, Gemini Flash 2.5 (Sep), Meta LLaMA 4, and 6 More Compared

Choosing an LLM for Voice Agents: Speed, Accuracy, Cost

Fast models miss edge cases. Accurate models add 2 seconds. Cheap models can't handle complexity. Here's how to choose.

Real-Time (Speech-to-Speech) vs Turn-Based (Cascading STT/TTS) Voice Agent Architecture

Real-Time (S2S) vs Cascading (STT/TTS) Voice Agent Architecture

Both architectures work in demos. Different problems emerge in production. Here's what determines the right choice.

8 AI Observability Platforms Compared: Phoenix, LangSmith, Helicone, Langfuse, and More

8 AI Observability Platforms Compared: Phoenix, Helicone, Langfuse, & More

AI agents fail randomly. Costs spike without warning. Debug logs show nothing useful. Eight platforms solve this differently.

14 AI Agent Frameworks Compared: LangChain, LangGraph, CrewAI, OpenAI SDK, and More

We Tested 14 AI Agent Frameworks. Here's How to Choose.

Your use case determines the framework. RAG, multi-agent, enterprise, or prototype? Here's how to match.

AI Agent Prompt Engineering: Early Gains, Diminishing Returns, and Architectural Solutions

The AI Agent Prompt Engineering Trap: Diminishing Returns and Real Solutions

Founders burn weeks tweaking prompts when the real breakthrough requires a few hours of architectural work.

How to Build Production-Ready Agentic RAG Systems

RAG Systems: The 7 Decisions That Determine The Production Fate

Seven critical decisions made during implementation determine whether a RAG system succeeds or collapses under real-world usage.

How to Implement E-Commerce AI Support: 4-Phase Deployment Guide for Shopify, WooCommerce, and Magento

How to Implement E-Commerce AI Support: 4-Phase Deployment Guide

Demos handle clean test data perfectly. Production breaks on B2B exceptions, policy edge cases, and missing integrations. Four phases prevent this.

Why AI Agents Fail in Production: Six Architecture Patterns and Fixes

AI Agents Break the Same Six Ways. Here's How to Catch Them Early.

Works in staging. Fails for users. Six architectural patterns explain the gap, and all of them show warning signs you can catch early.