We share what we learn while building AI products: architecture decisions, scope management, security and notes from the field.
The questions to ask when picking the best AI agency: scope clarity, data security, delivery format and pricing. Read this before you decide.
If all you have is an idea, where do you start? The four steps of building an AI product, how long each takes and what is expected from you.
How do you add AI without breaking what works? System analysis, data layer, assistant design and handover — integration in four steps.
Five variables that set the price of an AI project: scope, data readiness, number of integrations, accuracy expectations and running cost.
Getting correct answers without exposing company data to model training: retrieval layer, permissions, source citation and accuracy measurement.
The problem is usually not the model but the scope. The three decisions that turn an AI pilot into a real product.
