Customer support assistants
Answer repetitive questions using a verified knowledge base. Escalate when confidence is low or a request needs a human. Measure resolution quality and citations, not just how natural the response sounds.
Internal knowledge assistants
Connect a chat interface to approved documents, search and access control. Use retrieval-augmented generation (RAG) so the model can work from relevant, up-to-date context. See RAG for chat applications.
Research and synthesis copilots
Summarize supplied reports, organize findings and surface evidence. For complex tasks, prefer explicit source links and review steps over unsupported conclusions.
Developer assistants
Use an LLM to explain code, propose tests and draft changes. Keep execution, file writes and production deployments behind explicit authorizations.
Transactional chat agents
Help users plan or prepare an action such as a booking request, CRM update or support ticket. Validate inputs and require confirmation before committing consequential changes.
Select the right API for each workload
A support bot values low latency and grounded answers; a coding agent values reliable tool use; a research copilot values synthesis and traceability. Build small evaluations tailored to the use case before committing to a provider.
Explore the model comparison and agent architecture to get started.
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