CraftLM is a small studio focused on building AI-first products.
We help teams figure out where AI can truly solve problems — prototyping and learning until what's worth building becomes clear.
I help teams design and build AI-first products that are practical, reliable, and human-centered. I work with teams on:
We prototype to think. Every product starts as an experiment to explore what's possible with AI and how it can be useful.
Creating thoughtful evaluation frameworks that measure the performance and behavior of your agents.
Designing AI systems that are reliable, efficient, and grounded in real product use cases.
Workshops and mentorship programs that help teams build lasting capabilities for AI-first product development.
I also build my own products and tools.
Some projects begin as experiments that grow into standalone tools. Here are a few examples.
An agent that evaluates risks on the websites people visit.
It analyzes signals like security, terms, and data handling to help users decide whether a site can be trusted. The agent runs locally or via API and includes an MCP server for easy integration with browsers, chatbots, or other AI systems.
An agent that helps founders and teams manage their relationships with SaaS providers.
It compares service offerings, reviews terms, and supports evaluation and negotiation decisions. The agent also helps track subscriptions, onboard and offboard users, and manage the SaaS stack from a single interface.
I'm Andres Hernandez, and I run CraftLM, a small studio focused on building AI-first products. I explore how artificial intelligence can be shaped into tools that make work more intuitive, creative, and human.
My approach is hands-on. I experiment, prototype, and refine until technology fits naturally into the way people think and build. Some projects start as client collaborations, others as my own explorations, but all share the same goal: to make AI genuinely useful and to learn something new along the way.
Before starting CraftLM, I spent nearly two decades building and leading product engineering teams. Now my focus is on helping others navigate this new era of AI by bridging experimentation, design, and engineering to create things that last.
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