Retrieval-augmented generation is often adopted specifically to reduce hallucination: give the model the right documents and it will answer from them rather than inventing. It helps, and it does not eliminate the problem. A RAG system can retrieve the wrong material and answer confidently from it, retrieve the right material and ignore it, or blend […]

Evaluating a chatbot is hard. Evaluating an agent is harder, because an agent does not just answer, it acts. It calls tools, retrieves documents, takes multiple steps, and produces an outcome that depends on every decision along the way. A final answer can be correct while the path to it was wrong, and a path […]

Most AI agent failures look like model failures and are not. An agent forgets what it was doing, contradicts an earlier step, ignores a document it was given, or confidently uses stale information. The instinct is to blame the model or reach for a larger context window. Usually the real cause is what was placed […]

When an AI team sends data to a partner, the data usually leaves the environment it was governed in. Customer records, medical images, legal documents, internal knowledge, and recorded conversations all travel to people outside the organisation, and the obligations attached to that data travel with it. This is why security has become one of […]

Pricing for data annotation is reasonably well understood: a rate per item, adjusted for complexity. Pricing for the services that have grown up around annotation is not. Model evaluation, human feedback, retrieval preparation, and ongoing quality assurance all have different cost structures, and teams routinely try to price them like labeling, then find the comparison […]

Choosing an AI data partner has become harder, not easier. The category has expanded from labeling into evaluation, human feedback, retrieval preparation, and production quality assurance, and almost every provider now claims all of it. Marketing pages have converged on the same language, which means the words no longer distinguish anyone. What still distinguishes providers […]