What the Model Context Protocol changes for business software
MCP gives AI models a standard way to reach your tools and data. Here is why that matters more than another chatbot.
AI features fail in new ways: a prompt drifts, a model version changes, a tool returns something unexpected. The best defense is an architecture that is deliberately boring everywhere else.
Three rules we follow
Validate every model output against a schema before it touches your database. Log every prompt, response and tool call with a request ID. Keep prompts in version control next to the code that uses them.
const result = AnswerSchema.safeParse(modelOutput);
if (!result.success) return fallback(request);None of this is novel. That is the point: proven engineering habits are what make an AI product dependable enough to ship.
