Your AI Agent Isn't Working Because You Skipped the Guardrails
Most AI agents fail in production not because the model is wrong, but because nobody built the safety net. Here's how to design guardrails that let AI agents actually ship.
Technical insights on scaling systems, engineering leadership, and building what matters.
Most AI agents fail in production not because the model is wrong, but because nobody built the safety net. Here's how to design guardrails that let AI agents actually ship.
The two most common approaches to customizing LLMs for your business — and the decision framework that actually works in production.
What a fractional CTO should actually deliver in the first 90 days. No fluff, no frameworks — just the work that moves the needle.
Your AI bill is growing faster than your revenue. Here are the proven patterns for slashing LLM costs while keeping output quality high.
You don't need to understand transformers to make smart AI decisions. Here's the playbook for evaluating, scoping, and shipping AI features without getting burned.
90% of AI chatbots deployed in 2025 were abandoned within 6 months. Here's why they failed and what separates a production-grade AI agent from a glorified FAQ page.
The most important feature of any AI agent isn't what it can do — it's knowing when to stop. Here's how to build graceful human handoff that preserves context and trust.
AI-assisted coding is powerful. But 'vibe coding' — accepting AI suggestions without understanding them — is creating a new generation of unmaintainable systems.
Companies are throwing AI at data problems that need plumbing, not intelligence. Here's how to know if you need AI or just better infrastructure.
PostgreSQL can handle more than you think. Before adding Redis, Mongo, or DynamoDB to your stack, try these battle-tested optimization patterns.
The decision between fractional and full-time technical leadership isn't about budget — it's about what your company actually needs right now.
What investors actually look for in a technical audit — and how to prepare your systems, team, and architecture before they start asking questions.
Microservices are great — after you've earned them. Here's why starting with a monolith saves you months of pain and lets you ship what matters.