Resources for leaders buying AI.

Reference material for owners and executives who have to decide what AI to build, buy, or ignore. Written by the people who scope and ship the work, without the hype.

01start with these terms

The questions that come up most in a first call, answered in a minute each.

• AI agentAn AI agent is software that uses a language model to pursue a goal by choosing its own next steps: it reads the situation, picks a tool or action, checks the result, and repeats until the task is done or it needs a person.
• Retrieval-augmented generation (RAG)Retrieval-augmented generation (RAG) is a technique in which an AI system first searches your own documents or data for passages relevant to a question, then gives those passages to a language model to write its answer.
• Model Context Protocol (MCP)The Model Context Protocol (MCP) is an open standard, introduced by Anthropic in 2024, for connecting AI applications to external tools and data.
• Build vs buyBuild vs buy is the decision between developing custom software, including AI systems, and purchasing or subscribing to an existing product.
• Proof of concept vs productionA proof of concept (PoC) is a quick, limited build that shows an idea can work, usually on sample data without real users.
• ROI of AIThe ROI of AI is the measurable business return from an AI initiative relative to its full cost.
• HIPAA and AIHIPAA and AI refers to how the US Health Insurance Portability and Accountability Act applies when AI systems create, receive, store, or transmit protected health information.
• Inference costInference cost is what it costs to run an AI model to produce outputs, as opposed to the cost of training it.

02still deciding?

Direct answers on cost, timelines, and how AI-augmented development works are on the FAQ. Or see what shipped: Nestwell, Pinned Golf, and Supreme Dental.