Ideas, engineering, and lessons from the field.
Practical thinking on AI, software, infrastructure, and building technology that works in the real world.
Connecting AI Systems to Your Existing Business Software
The hardest part of adding AI to your stack usually isn't the model. It's making it work reliably with the systems you already depend on.
Why Automations Fail Silently and How to Catch It
The dangerous failure is the one nobody sees. Five causes of silent failure, and the monitoring that makes each of them visible.
How to Choose the First Task for an AI Agent
The first agent project decides whether a company builds a second one. Four tests help pick a task that is useful, safe and measurable.
Which Business Processes Are Worth Automating First
A simple scoring method for choosing automation candidates: how often the work happens, how stable it is, and what a mistake costs.
Workflow Automation: When to Automate and When to Keep a Human in the Loop
Automating the wrong step is worse than automating nothing. A practical framework for deciding what to hand to software and what to keep a person on.
Building Reliable AI Chatbots Grounded in Your Company's Knowledge
Most chatbot failures aren't model failures. They're retrieval, escalation, and monitoring failures. Here's what a reliable one actually requires.
RAG vs Fine-Tuning: Choosing the Right Approach for Business AI
Two different tools for two different problems. Here's how to tell which one your use case actually needs, and when you need both.
AI Agents in Production: Architecture, Tools, and Human Oversight
What actually separates a working AI agent from a demo: tool design, state, guardrails, and where a human still needs to be in the loop.
Have a problem you're trying to solve?
We're always happy to talk it through, no pitch required.