LLM Integration: Adding Language Models to Your Existing Product
How we add language model features to an existing product: swappable models, retrieval over your data, structured outputs, evals in CI and production safeguards.
BlogCategory
How we build AI into real products: LLM integration, AI agents, retrieval, evaluation, and the product and cost decisions behind every AI feature.
How we add language model features to an existing product: swappable models, retrieval over your data, structured outputs, evals in CI and production safeguards.
How we put image, video, speech and music generation into products: model and pipeline choice, safety layers, rights and provenance, queueing and GPU cost.
Which problems language models actually solve well, how an AI feature is built, evaluated and budgeted, and how we take it from prototype to production.
When an agent is warranted and when a fixed workflow is better, and how we design tools, approvals, sandboxes, scenario evals and audit logs for agents that act.